Data science internship jobs in Loveland, CO - 187 jobs

Do you have a passion for computer vision and solving deep learning problems? The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will play a critical part in crafting robust evaluation frameworks, using both traditional statistical methods and modern techniques like LLM-as-a-Judge! The ideal candidate combines strong analytical thinking, expertise in Python, and advanced knowledge of statistical methodologies and data quality standards. This role involves collaboration with teams at Apple passionate about developing foundation models, including ML engineers, data scientists, and ML Infrastructure engineers to deliver amazing user experiences! Develop robust methodologies to assess the performance of foundation models (e.g., LLMs, vision-language models, etc.) across diverse tasks. Leverage LLMs as judges to perform subjective and open-ended model evaluations (e.g., for summarization, reasoning, or multimodal generation tasks). Build, curate, and lead evaluation datasets and benchmarks. Advanced proficiency in at least one scripting language, preferably Python. Collaborate with research, engineering, and product teams to define evaluation goals aligned with user experience and product quality. Conduct failure analysis and uncover edge cases to improve model robustness. Contribute to our tools and infrastructure to automate and scale evaluation processes. Experience working with open-source evaluation tools like OpenEval, ELO-based ranking, or LLM-as-a-Judge frameworks. Familiarity with prompt engineering, few-shot or zero-shot evaluation techniques. Experience evaluating generative models (e.g., text generation, image generation). Prior contributions to ML benchmarks or public evaluations. Strong interpersonal skills. BS and a minimum of 3 years relevant industry experience Strong experience in evaluating supervised, unsupervised, and deep learning models. Hands-on experience evaluating LLMs and using them as scoring/judging mechanisms. Familiarity with multimodal models (e.g., image + text, video + audio) and related evaluation challenges. Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow. Solid understanding of statistical testing, sampling, confidence intervals, and metrics (e.g., precision/recall, BLEU, ROUGE, FID, etc.). Strong documentation skills, including the ability to write technical reports and present to non-technical audiences.

Posting TitleGraduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis . . TypeIntern (Fixed Term) . Hours Per Week40 . Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Geospatial Data Science (GDS) team within the Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6-12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy deployment, big data science, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including geothermal, hydropower, transmission, bioenergy, wind, and solar. Geospatial modeling at NLR enables detailed techno-economic assessment, capacity expansion, and power systems modeling of energy resources under a variety of regulatory, sociopolitical, and environmental factors from local to continental scales. The successful intern candidate will support a large and diverse modeling portfolio with activities involving geospatial analyses, literature reviews, cartography, scientific programming, and tasks focused on data preparation, processing, and validation. This position will assist geospatial scientists in developing novel analytical solutions to complex challenges in energy siting, deployment, and adoption. Candidates should be interested in working in an interdisciplinary field, together with geospatial data scientists, software developers, and policy analysts, which will require excellent interpersonal and communication skills. Duties will include: Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis Preparing and processing geospatial data using open-source desktop software and programmatic approaches Conducting background research on data sets, current modeling approaches, and existing tools Developing literature reviews under the guidance of research scientists Programming and scripting in Python to conduct analysis and visualize data Working in distributed computing environments including internal servers, NLR's high-performance computing (HPC) system and the Cloud . Basic QualificationsMinimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution. Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution. Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution. Please Note: • Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. • If selected for position, a letter of recommendation will be required as part of the hiring process. • Must meet educational requirements prior to employment start date. * Must meet educational requirements prior to employment start date. Additional Required Qualifications Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects. Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not used in this research group) Experience working with geographic transformations and projections Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team Critical thinking skills; analytic and research skills; written and verbal communication skills Preferred Qualifications Experience with linux/unix Experience with collaborative code development Experience with Machine Learning Experience with the Geospatial data abstraction library (GADL) Experience with big geospatial data processing . Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be extended as needed. Annual Salary Range (based on full-time 40 hours per week) Job Profile: / Annual Salary Range: $44,500 - $71,200 NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions. Benefits SummaryBenefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. * Based on eligibility rules Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.Drug Free Workplace NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Submission Guidelines Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Reasonable Accommodations E-Verify ******************** For information about right to work, click here for English or here for Spanish. E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.

**Posting Title** Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis . . Type** Intern (Fixed Term) . **Hours Per Week** 40 . **Working at NLR** NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. **Job Description** The Geospatial Data Science (GDS) team within the Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6-12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy deployment, big data science, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including geothermal, hydropower, transmission, bioenergy, wind, and solar. Geospatial modeling at NLR enables detailed techno-economic assessment, capacity expansion, and power systems modeling of energy resources under a variety of regulatory, sociopolitical, and environmental factors from local to continental scales. The successful intern candidate will support a large and diverse modeling portfolio with activities involving geospatial analyses, literature reviews, cartography, scientific programming, and tasks focused on data preparation, processing, and validation. This position will assist geospatial scientists in developing novel analytical solutions to complex challenges in energy siting, deployment, and adoption. Candidates should be interested in working in an interdisciplinary field, together with geospatial data scientists, software developers, and policy analysts, which will require excellent interpersonal and communication skills. Duties will include: + Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis + Preparing and processing geospatial data using open-source desktop software and programmatic approaches + Conducting background research on data sets, current modeling approaches, and existing tools + Developing literature reviews under the guidance of research scientists + Programming and scripting in Python to conduct analysis and visualize data + Working in distributed computing environments including internal servers, NLR's high-performance computing (HPC) system and the Cloud . **Basic Qualifications** Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution. Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution. Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution. Please Note: - Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. - If selected for position, a letter of recommendation will be required as part of the hiring process. - Must meet educational requirements prior to employment start date. *** Must meet educational requirements prior to employment start date.** **Additional Required Qualifications** + Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field + To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects. Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects + Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj + Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not used in this research group) + Experience working with geographic transformations and projections + Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team + Critical thinking skills; analytic and research skills; written and verbal communication skills **Preferred Qualifications** + Experience with linux/unix + Experience with collaborative code development + Experience with Machine Learning + Experience with the Geospatial data abstraction library (GADL) + Experience with big geospatial data processing . **Job Application Submission Window** The anticipated closing window for application submission is up to 30 days and may be extended as needed. **Annual Salary Range (based on full-time 40 hours per week)** Job Profile: / Annual Salary Range: $44,500 - $71,200 NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions. **Benefits Summary** Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. ***** Based on eligibility rules **Badging Requirement** NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement. **Drug Free Workplace** NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. **Submission Guidelines** Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . **Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. **Reasonable Accommodations (******************************************************* **E** **-Verify** ************************ **For information about right to work, click here (************************************************************************************************** for English or** **here (************************************************ for Spanish.** E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce. The National Laboratory of the Rockies (NLR) is a leader in the U.S. Department of Energy's effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NLR is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States. NLR is subject to Department of Energy (DOE) access restrictions. All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview and for hiring. DOE rules for site access during the interview process depend on whether the candidate is interviewed on-site, off-site, or via telephone or videoconference. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NLR by the Department of Energy (DOE). **Drug Free Workplace** NLR is committed to maintaining a drug-free workplace in accordance with federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Please review the information on our Hiring Process (************************************************* website before you create an account and apply for a job. We also hope you will learn more about NLR (**************************** , visit our Careers site (****************************** , and continue to search for job opportunities (**************************************** at the lab.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Why work for us? A career at Janus Henderson is more than a job, it's about investing in a brighter future together . Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right. Our Values are key to driving our success, and are at the heart of everything we do: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust If our mission, values, and purpose align with your own, we would love to hear from you! Your opportunity This role sits at the intersection of our client value stream and enterprise data team. As an enterprise data analyst, you will work across business and technology teams to deliver valuable data features, support enterprise data change and transformation initiatives, and extract measurable value from our client data. + Collaborate with stakeholders across the organization to understand their challenges, objectives, and needs. Partner with the client data product owner to translate business requirements to technical specifications and agile features, such as data models and pipeline designs. + Conduct comprehensive data analysis to support business decisions, enhance data quality, and resolve operational issues using SQL, Python, and ETL tools. Present and communicate clear and timely findings to business and technical stakeholders. + Understand and apply best practices in enterprise data management to features in the client data warehouse and our downstream products. + Design, implement, and monitor automated data processes to reduce manual intervention and ensure smooth business operations. + Document data flows, establish clear data definitions, and participate in other data governance initiatives. + Participate in agile project planning activities, including risk identification, user story definition, and feature prioritization. + Complete and support Quality Assurance (QA) testing and engage in agile ceremonies to ensure project objectives are met within sprint cycles. + Create and maintain dashboards and reports to monitor key performance indicators (KPIs) and provide actionable insights. + Work collaboratively with technical teams to develop data pipelines and analytics solutions within agile frameworks. + Continuously learn and apply new technologies, tools, and best practices in business analysis and data management. + Carry out other duties as assigned. What to expect when you join our firm + Hybrid working and reasonable accommodations + Generous Holiday policies + Paid volunteer time to step away from your desk and into the community + Support to grow through professional development courses, tuition/qualification reimbursement and more + Maternal/paternal leave benefits and family services + Complimentary subscription to Headspace - the mindfulness app + Corporate membership to ClassPass and other health and well-being benefits + Unique employee events and programs including a 14er challenge + Complimentary beverages, snacks and all employee Happy Hours Must have skills: + Strong experience in data analysis or data warehousing, preferably in a business intelligence or analytics environment. + Familiarity with Agile methodology and experience in agile ceremonies. + Demonstrated experience writing SQL scripts for analysis of data warehouses or other data implementations in any of the following database platforms: Oracle, Microsoft SQL Server, Databricks Delta Lake, Snowflake. + Some experience with data visualization or reporting tool such as Tableau, Power BI, or similar BI Tool, for the purposes of monitoring data quality or performing data reconciliation. + Strong problem-solving and analytical skills. + Initiative and the ability to progress projects with minimal supervision. + Effective communication and time management skills. + A team player with a client-first mindset Nice to have skills + PowerBI dashboard and report creation experience is preferred. + Basic coding knowledge in Python is preferred. + Prior experience in the financial services industry is advantageous but not required. Supervisory responsibilities + No Potential for growth + Mentoring + Leadership development programs + Regular training + Career development services + Continuing education courses Compensation information The base salary range for this position is $100,000-$110,000. This range is estimated for this role. Actual pay may be different. This position will be open through February 28, 2026. Colorado law requires an estimated closing date for job postings. Please don't be discouraged from applying if you see this date has passed. At Janus Henderson Investors we're committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from candidates from all backgrounds. Don't worry if you don't think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can't accommodate every flexible working request, we're happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at **************************** . #LI-LN2 #LI-Hybrid Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here (**************************************** . Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All applications are subject to background checks. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee's job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants' past political contributions or activity may impact applicants' eligibility for this position. You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.

As part of the Wilshire family, you can rest assured that every day you are contributing to an organization that is helping investors improve their financial outcomes. For more than 50 years, Wilshire has been dedicated to providing customized portfolio solutions grounded in research and powered by next generation technologies. Wilshire advises on over $1 trillion in assets for some of the world's largest and most sophisticated institutional investors and is headquartered in the United States with offices worldwide. Job Description Wilshire seeks a Data Analyst to be responsible for ensuring the accuracy, integrity, and efficiency of financial data across the Finance systems. This role involves managing data flows, performing reconciliations, supporting system enhancements, and providing actionable insights. The Data Analyst will also be the administrator for critical finance systems including NetSuite, a proprietary data mart, a vendor and contract management system and Concur expense and travel. Key Responsibilities * Data Management & Integrity * Maintain and validate financial data in finance systems (e.g., Power BI/Datamart, Netsuite). * Perform regular data quality checks and reconciliations between source systems and reporting tools. * Ensure compliance with internal controls and audit requirements. * System Maintenance & Support * Monitor data integrations between finance systems and upstream/downstream applications. * Troubleshoot data issues and coordinate with IT/vendors/Finance for resolution. * Support system upgrades, patches, and configuration changes. * Act as the administrator for finance systems including user access, system configurations, optimizing use of the systems, and continual enhancement of automation / AI tools. * Reporting & Analysis * Develop and maintain dashboards and reports for Finance and other stakeholders firmwide. * Analyze trends, variances, and anomalies in financial data. * Provide insights to improve forecasting, budgeting, and revenue analysis. * Process Improvement * Identify opportunities to automate data processes and improve efficiency. * Document workflows, data dictionaries, and system procedures. * Stakeholder Collaboration * Work closely with Finance and IT teams to ensure accurate data flow. * Assist in user training and support for finance system functionalities. Qualifications * Bachelor's degree in Finance, Accounting, Data Analytics, or related field. * Strong proficiency in SQL, Excel, and BI tools (Power BI, Tableau). * Experience with finance systems (ERP, EPM tools like Netsuite, Concur). * Understanding of financial statements and accounting principles. * Excellent analytical and problem-solving skills. * Ability to manage multiple priorities and meet deadlines. Additional Information * This position will work on a hybrid model out of our Santa Monica, New York, Denver or London offices * We offer a comprehensive benefits package including a collaborative work environment, generous PTO, 401(k) match, affordable & comprehensive medical/dental/vision insurance, CFA and other professional membership reimbursement, and more. The pay range for this position is $85,000 - $140,000. However, base pay will be determined on an individual basis considering various factors, including location, qualifications, skills, and experience. The total compensation package includes eligibility for an annual discretionary bonus and a full range of health and financial benefit offerings, which will be provided in conjunction with an offer of employment. Visit **************** for additional company information. Wilshire is an SEC registered investment adviser and required to track certain political contributions under Rule 206(4)-5. As such, you may be required to disclose your prior political contributions. We are an equal opportunity employer, which means we afford equal employment opportunity to all individuals regardless of race/ethnicity, creed, color, religion, sex (including gender and gender identity), national origin, ancestry, age, marital status, veteran status, citizenship status, disability, medical condition (as defined by California Government Code section 12926), or sexual orientation. Our employees, as well as applicants and others with whom we do business, will not be subjected to sexual, racial, religious, ethnic, or any other form of unlawful harassment. In addition, Wilshire adheres to the equal employment opportunity requirements of all states and localities in which it does business. We are completely committed to these principles not only because of the various laws which address these subjects, but because it is the right thing to do for our employees and clients to thrive. If you have a disability, and require reasonable accommodations in the application process, contact Human Resources at ApplicantAccessibility@wilshire.com or ************.

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Apply Data Scientist Department of Agriculture Food Safety and Inspection Service Data Analytics and Innovation Staff Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply This position is located within the Office of Planning, Analysis, and Risk Management (OPARM). OPARM is the FSIS centralized analytics group and tasked with integrating and analyzing relational data. The program also provides data visualization and analytics services to support FSIS decision-making, policy development, risk management, and strategic planning. Summary This position is located within the Office of Planning, Analysis, and Risk Management (OPARM). OPARM is the FSIS centralized analytics group and tasked with integrating and analyzing relational data. The program also provides data visualization and analytics services to support FSIS decision-making, policy development, risk management, and strategic planning. Overview Help Accepting applications Open & closing dates 01/14/2026 to 01/21/2026 Salary $106,437 to - $138,370 per year Salary will be determined based on duty station of selectee. Rates shown represent the Rest of the US locality pay table. Pay scale & grade GS 13 Locations 3 vacancies in the following locations: Fort Collins, CO Raleigh, NC Remote job No Telework eligible Yes-as determined by the agency policy. Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1529 Mathematical Statistics * 1550 Computer Science * 1560 Data Science Series Supervisory status No Security clearance Other Drug test No Position sensitivity and risk Moderate Risk (MR) Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number FSIS-26-DHA-12859840-DW Control number 854327700 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Career transition (CTAP, ICTAP, RPL) Federal employees whose job, agency or department was eliminated and are eligible for priority over other applicants. Clarification from the agency Applications will be accepted from any U.S. citizen. Direct Hire Authority will be used to fill these positions. Veterans' Preference and traditional rating and ranking of applicants does not apply to this vacancy. Duties Help * Perform data cleaning and visualization. * Perform trend analysis and algorithm development. * Develop new prescriptive analytics used in decision making. * Present alternate solutions to analytics and future concepts. * Develop statistical models and machine learning models. * Analyze outputs from analyses. * Perform quality checks on model and analysis output. * Develop recommendations for data integration. * Develop testing hypothesis. Requirements Help Conditions of employment * You must be a US Citizen or US National. * Males born after 12/31/1959 must be Selective Service registered or exempt. * Subject to satisfactory adjudication of background investigation and/or fingerprint check. * Successful completion of one-year probationary period, unless previously served. Refer to the Next Steps section for more information. * Direct Deposit: Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution. * Successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit ************************** * False statements or responses on a resume or application can jeopardize employment and may be grounds for disciplinary action, including removal from Federal service. * If you are selected, you may need to complete a Declaration for Federal Employment (OF-306) prior to being appointed to determine suitability for Federal employment and to authorize a background investigation. Qualifications Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience and education, as defined below. For the GS-13 grade level: Applicants must have one year of specialized experience (equivalent to the GS-12 grade level) that demonstrates: * Using Python or R to extract, manipulate, and integrate information from relational databases. * Creating interactive reports or dashboards using programming languages and frameworks (e.g., Python, R, Qlik, or similar) * Leading technical initiatives, including planning, coding, testing, and deploying solutions that support organizational data and reporting needs. * Developing oral and written presentations communicating complex and technical analyses to inform, influence, and persuade a variety of audiences. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education Mathematical Statistics Series 1529 Basic Requirements: Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. or Combination of education and experience: at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. Evaluation of Education: Courses acceptable toward meeting the mathematics course requirement of paragraphs A or B above must have included at least four of the following: differential calculus, integral calculus, advanced calculus, theory of equations, vector analysis, advanced algebra, linear algebra, mathematical logic, differential equations, or any other advanced course in mathematics for which one of these was a prerequisite. Courses in mathematical statistics or probability theory with a prerequisite of elementary calculus or more advanced courses will be accepted toward meeting the mathematics requirements, with the provision that the same course cannot be counted toward both the mathematics and the statistics requirement. Evaluation of Experience: The experience offered in combination with educational courses to meet the requirements in paragraph B above should include evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. Without other indications of statistical experience, work required in the processing of numerical or quantified information by other than statistical methods is not considered appropriate qualifying experience. Examples of such nonqualifying work include statistical clerical work; statistical drafting; calculation of totals, averages, percentages, or other arithmetic summations; preparation of simple tables or charts; or verification of data by simple comparison or proofreading. Click here for more information on this series: OPM Mathematical Statistics Series 1529 Computer Science Series 1550 Series Definition: This series includes professional positions which primarily involve the application of, or research into, computer science methods and techniques to store, manipulate, transform or present information by means of computer systems. The primary requirements of the work are (a) professional competence in applying the theoretical foundations of computer science, including computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations; (b) specialized knowledge of the design characteristics, limitations, and potential applications of systems having the ability to transform information, and of broad areas of applications of computing which have common structures, processes, and techniques; and (c) knowledge of relevant mathematical and statistical sciences. Basic Requirements: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions. Evaluation of Education: Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable. Click here for more information on this series: OPM Computer Science Series 1550 Data Science Series 1560 Basic Requirements: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Click here for more information on this series: OPM Data Science Series 1560 Additional information Career Transition Assistance Plan (CTAP), Reemployment Priority List (RPL), or Interagency Career Transition Assistance Plan (ICTAP): Visit the OPM website for information on how to apply as a CTAP, RPL, or ICTAP eligible. To exercise selection priority for this vacancy, CTAP/RPL/ICTAP candidates must meet the basic eligibility requirements and all selective factors. CTAP/ICTAP candidates must be rated and determined to be well qualified (or above) based on an evaluation of the competencies listed in the How You Will Be Evaluated section. When assessed through a score-based category rating method, CTAP/ICTAP applicants must receive a rating of at least 85 out of a possible 100. Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact: USDA's TARGET Center at ************ (voice and TDD). It is the policy of the Government not to deny employment simply because an individual has been unemployed or has had financial difficulties that have arisen through no fault of their own. To see more information visit CHCO Council. This announcement may be used to fill additional like vacancies should any occur in the announced duty location(s). Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. Your application, including the assessment questionnaire, will be reviewed to determine if you meet the qualification requirements and to determine if your resume supports the answers provided to the job-specific questions. Your resume must clearly support your responses to the questions addressing experience and education relevant to this position. You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics): * Technical Competence * Analytical Programming * Manages and Organizes Information * Oral Communication Note: If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and or experience, your score may be adjusted to more accurately reflect your abilities, or you may be found ineligible. Please follow all instructions carefully. Errors or omissions may affect your rating. Providing inaccurate information on Federal documents could be grounds for non-selection or disciplinary action up to including removal from the Federal service. Clicking the link below will present a preview of the application form; i.e. the online questionnaire. The application form link below will only provide a preview and does not initiate the application process. To initiate the online application process, click the "Apply" button to the right. To view the application form, visit: ******************************************************** Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required for your applicant package to be complete. Encrypted documents will not be accepted. Failure to submit required, legible documents may result in loss of consideration. Resume that includes: Personal Information: name, address, contact information; Education; Work Experience related to this position as described in the major duties including work schedule, hours worked per week, dates of employment; title, series, grade (if applicable); other qualifications. Resume cannot exceed 2 pages. * Your application may be disqualified if you include any of the information listed here: What should I leave out of my resume? EDUCATION: you must submit a copy of all relevant college transcripts. An unofficial copy is sufficient with the application if it includes your name and the necessary course information; however, if you are selected, you will be required to submit official transcripts prior to entering on duty. Education must have been successfully obtained from an accredited school, college or university. If any education was completed at a foreign institute, you must submit with your application evidence that the institute was appropriately accredited by an accrediting body recognized by the U.S. Department of Education as equivalent to U.S. education standards. There are private organizations that specialize in this evaluation, and a fee is normally associated with this service. For a list of private organizations that evaluate education, visit the NACES website. All transcripts must be in English or include an English translation. Surplus or displaced employees eligible for CTAP, RPL, or ICTAP priority must provide: proof of eligibility (RIF separation notice, notice of proposed removal for declining a transfer of function or directed reassignment to another commuting area, notice of disability annuity termination), SF-50 documenting separation (as applicable), current performance appraisal with rating of at least "Fully Successful" or equivalent, and your most recent SF-50 noting position, grade level, and duty location with your application per 5 CFR 330. How to Apply Help Please read the entire announcement and all instructions before you begin. You must complete this application process and submit all required documents electronically by 11:59p.m. Eastern Time (ET) on the closing date of this announcement. Applying online is highly encouraged. We are available to assist you during business hours (normally 8:00a.m. - 4:00p.m., Monday - Friday). If applying online poses a hardship, contact the Agency Contact listed below well before the closing date for an alternate method. All hardship application packages must be complete and submitted no later than noon ET on the closing date of the announcement to be entered into the system prior to its closing. Resumes must not exceed two pages. This agency provides reasonable accommodation to applicants with disabilities on a case-by-case basis; contact the Agency Contact to request this. Alternative Methods for Applying: If you are unable to apply using the internet, please fax your request for an application package along with your name and mailing address to HR: ************** To begin, click "Apply" and follow the instructions to complete the Assessment Questionnaire and attach your resume and all required documents. Please verify that documents you are uploading from USAJOBs transfer into the Agency's staffing system as there is a limitation to the number of documents that can be transferred. However, once in the Agency's staffing system, you will have the opportunity to upload additional documents. Uploaded documents must be less than 5MB and in one of the following document formats: GIF, JPG, JPEG, PNG, RTF, PDF, TXT or Word (DOC or DOCX). Do not upload Adobe Portfolio documents because they are not viewable. Please ensure your resume does not exceed two pages. Applicants who submit a resume that exceeds two pages will be removed from consideration. Our office cannot be responsible for incompatible software, your system failure, etc. Agency contact information Doug Welder Phone ************ Email *********************** Address Food Safety and Inspection Service 1400 Independence Ave SW Washington, DC 20250 US Next steps Your application will be reviewed to verify that you meet the eligibility and qualification requirements for the position prior to issuing referral lists to the selecting official. If further evaluation or interviews are required, you will be contacted. Log in to your USAJOBS account to check your application status. You must choose to turn on email notifications in your USAJOBS profile if you want to receive important email notifications that may impact your applicant experience (e.g. If you start an application and do not submit it prior to the closing date, USAJOBS will send an email reminder that the closing date is approaching and your application is in an incomplete status). Multiple positions may be filled from this announcement. As a condition of employment for accepting this position, you will be required to serve a 1-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider: your performance and conduct; the needs and interests of the agency; whether your continued employment would advance organizational goals of the agency or the Government; and whether your continued employment would advance the efficiency of the Federal service. Upon completion of your probationary period your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. Under the Fair Chance Act, agencies are not allowed to request information about an applicant's criminal history until a conditional offer of employment has been made, except as allowed for access to classified information; assignment to national security duties or positions; acceptance or retention in the armed forces; or recruitment of a Federal law enforcement officer. An applicant may submit a complaint or any other information related to an organization's alleged noncompliance with the Fair Chance Act. The complaint must be submitted within 30 calendar days of the date of the alleged noncompliance. To make a Fair Chance Act inquiry or complaint, send an email with the appropriate information to *****************, subject line: Fair Chance Act. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help The following documents are required for your applicant package to be complete. Encrypted documents will not be accepted. Failure to submit required, legible documents may result in loss of consideration. Resume that includes: Personal Information: name, address, contact information; Education; Work Experience related to this position as described in the major duties including work schedule, hours worked per week, dates of employment; title, series, grade (if applicable); other qualifications. Resume cannot exceed 2 pages. * Your application may be disqualified if you include any of the information listed here: What should I leave out of my resume? EDUCATION: you must submit a copy of all relevant college transcripts. An unofficial copy is sufficient with the application if it includes your name and the necessary course information; however, if you are selected, you will be required to submit official transcripts prior to entering on duty. Education must have been successfully obtained from an accredited school, college or university. If any education was completed at a foreign institute, you must submit with your application evidence that the institute was appropriately accredited by an accrediting body recognized by the U.S. Department of Education as equivalent to U.S. education standards. There are private organizations that specialize in this evaluation, and a fee is normally associated with this service. For a list of private organizations that evaluate education, visit the NACES website. All transcripts must be in English or include an English translation. Surplus or displaced employees eligible for CTAP, RPL, or ICTAP priority must provide: proof of eligibility (RIF separation notice, notice of proposed removal for declining a transfer of function or directed reassignment to another commuting area, notice of disability annuity termination), SF-50 documenting separation (as applicable), current performance appraisal with rating of at least "Fully Successful" or equivalent, and your most recent SF-50 noting position, grade level, and duty location with your application per 5 CFR 330.

* Employ some combination (2 or more) of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets * Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge * Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data * Effectively communicate complex technical information to non-technical audiences * Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: * US Citizens Only * Active TS/SCI Clearance and Polygraph required * Information Assurance Certification may be required * Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required. * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science * A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university * Relevant experience must be two of more of the following: * Designing/implementing machine learning * Data science * Advanced analytical algorithms * Programming (skill in at least one high-level language (e.g., Python)) * Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) * Data management (e.g., data cleaning and transformation) * Data mining * Data modeling and assessment * Artificial intelligence * Software engineering Salary Range: $61,244.98 - $134,738.95

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Why This Role Matters We're looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You'll work on developing intelligent systems that power risk modeling, fraud prevention, customer insights and targeting, and payment optimization. Your models will have a direct impact on financial decisions, operational efficiency, and customer trust across our products. What You'll Do AI-Driven Insights: Develop and deploy advanced machine learning models to optimize customer targeting, payment monitoring and growth and operational efficiency opportunities. Predictive Modeling: Build forecasting models to improve transaction accuracy, detect anomalies, and assess financial risk. Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance. AI Product Integration: Collaborate with Product to integrate AI solutions into production systems for real-time financial decisioning. Experimentation: Lead A/B tests and model performance evaluations to validate model effectiveness and regulatory compliance. Communication: Translate technical findings into actionable insights for business leaders and compliance teams. Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy. Qualifications What You Bring Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. 3+ years of experience in a data science or AI-focused role within fintech, banking, or payments. Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI. Familiarity with financial data structures, regulatory standards (e.g., PCI-DSS, GDPR), and model governance. Experience with cloud platforms such as Snowflake for ML deployment. Preferred Qualifications Experience in fraud analytics, risk scoring, or payment decision models. Understanding of MLOps and continuous model monitoring in regulated environments. Familiarity with financial transaction data, open banking APIs, or real-time payments systems. Experience developing LLM-powered assistants or AI copilots for financial operations or support. Strong data storytelling and visualization skills (Tableau preferred).

ADP is hiring a Sr. Data Analytics Consultant. We are seeking a detail-oriented and collaborative Project Sr. Data Analytics Consultant that will utilize analytical skills to support business analysis and reporting needs. In this role, you will work closely with stakeholders across multiple areas of the business to understand requirements, obtain the necessary data or information, and deliver reporting and analysis that supports data driven decision making. You will be hands-on with data - able to extract, manipulate, interpret, and present findings in a clear and concise way. At ADP we are driven by your success. We engage your unique talents and perspectives. We welcome your ideas on how to do things differently and better. In your efforts to achieve, learn and grow, we support you all the way. If success motivates you, you belong at ADP. We strive for every interaction to be driven by our CORE values: Insightful Expertise, Integrity is Everything, Service Excellence, Inspiring Innovation, Each Person Counts, Results-Driven, - Social Responsibility. RESPONSIBILITIES: Manage data, reporting, and analytics projects Partner with business stakeholders to understand objectives, needs, and challenges Document requirements and gather necessary information for business reporting and analysis needs Query and extract data from multiple systems (SQL, BI tools, spreadsheets, etc.) Analyze data to identify trends, opportunities, and risks - providing actionable insights Develop and maintain reports, analysis, or other self-service tools to support ongoing business needs Ability to translate technical findings into clear and concise outputs or recommendations for non-technical audiences Collaborate with data governance, data, and analytics teams Support ad-hoc requests and provide timely insights for informed decision-making Assist in the review and testing of production dashboards Works on other short duration or one-off assigned projects and/or performs other duties as needed. QUALIFICATIONS REQUIRED: BA/BS degree (major in Business or Information Sciences preferred) OR technical training equivalent OR an equivalent in education and/or experience required. 2-5 years as a Business Analyst, Data Analyst, or related role. Strong analytical, problem solving, and critical thinking skills Strong communication and interpersonal skills; ability to work with both technical and non-technical stakeholders Detail oriented, organized, and able to manage multiple priorities Desire to continually learn new things and grow professionally Proficiency with SQL and Excel

ADP is hiring a Sr. Data Analytics Consultant. We are seeking a detail-oriented and collaborative Project Sr. Data Analytics Consultant that will utilize analytical skills to support business analysis and reporting needs. In this role, you will work closely with stakeholders across multiple areas of the business to understand requirements, obtain the necessary data or information, and deliver reporting and analysis that supports data driven decision making. You will be hands-on with data - able to extract, manipulate, interpret, and present findings in a clear and concise way. At ADP we are driven by your success. We engage your unique talents and perspectives. We welcome your ideas on how to do things differently and better. In your efforts to achieve, learn and grow, we support you all the way. If success motivates you, you belong at ADP. We strive for every interaction to be driven by our CORE values: Insightful Expertise, Integrity is Everything, Service Excellence, Inspiring Innovation, Each Person Counts, Results-Driven, - Social Responsibility. RESPONSIBILITIES: Manage data, reporting, and analytics projects Partner with business stakeholders to understand objectives, needs, and challenges Document requirements and gather necessary information for business reporting and analysis needs Query and extract data from multiple systems (SQL, BI tools, spreadsheets, etc.) Analyze data to identify trends, opportunities, and risks - providing actionable insights Develop and maintain reports, analysis, or other self-service tools to support ongoing business needs Ability to translate technical findings into clear and concise outputs or recommendations for non-technical audiences Collaborate with data governance, data, and analytics teams Support ad-hoc requests and provide timely insights for informed decision-making Assist in the review and testing of production dashboards Works on other short duration or one-off assigned projects and/or performs other duties as needed. QUALIFICATIONS REQUIRED: BA/BS degree (major in Business or Information Sciences preferred) OR technical training equivalent OR an equivalent in education and/or experience required. 2-5 years as a Business Analyst, Data Analyst, or related role. Strong analytical, problem solving, and critical thinking skills Strong communication and interpersonal skills; ability to work with both technical and non-technical stakeholders Detail oriented, organized, and able to manage multiple priorities Desire to continually learn new things and grow professionally Proficiency with SQL and Excel

Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We're more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates. At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together. Job Description About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits. Qualifications Required Skills: 5+ years in Data Science. Strong Python coding/scripting Skills. AWS CI/CD exposure. Ability to build models that can drive value of data. Deploy the data into AWS environment. Additional Information About the Company: This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match. Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer. All your information will be kept confidential according to EEO guidelines.

Job Profile Job Title: Intern, Business Analyst Reports To: Director, Solutions Architect Department: Business Process & Technology Primary Location: Boulder and Denver, CO Compensation: $20/hour Congruex is looking for an Intern, Business Analyst to join our team. Learn more about it at **************** . Who is Congruex Congruex designs and builds broadband and wireless communications infrastructure. The work we do enables everything in the modern world to operate, from healthcare and energy to transportation and social interactions. We deliver turn-key network solutions under a single platform by aligning our engineering and in-market construction operating units. Our vision is to be the best end-to-end provider of network services in the U.S. and our core values of GRIT connect everything we do. We are building tomorrow, together. Will you join us? Your New Job Job Summary: The Operations Support Systems (OSS) Business Analyst Intern helps bridge business needs and technical solutions. The BA Intern attends Daily Stand-Up calls for prioritized work, attends / facilitates meetings with business stakeholders, and contributes to creation of documentation and other collateral. This role includes significant cross functional collaboration / co-innovation with end-user groups as well as team members from Operations, Application Development, & Digital Transformation. Key Responsibilities: · Requirements Gathering: o Attends meetings o Documents business needs / user stories o Compiles requirements into simple requirements documents · Process Analysis and Documentation: o Analyzes current state business workflows o Identifies process inefficiencies / gaps o Assists with development and documentation of future / end-state workflows o Workflow design · User Acceptance Testing: o Assists OSS / tech team with authoring test cases o Performs User Acceptance Testing o Reports issues and drives resolution to completion · Application Administration o Assists System Administrators with support tickets o Completes minor application configuration changes o Learns basics of force.com platform Qualifications: · Current University Student - Junior or Senior · Business or Technology related Major · Strong organizational and time management skills · Curiosity · Interest in technology, business process, and problem-solving · Good analytical skills & communication skills · Logical, methodical approach to problem solving Preferred Skills: · How to translate business problems into technical solutions · How to administer User Acceptance Testing · Process Documentation · Platform basics for Operation Support Systems (including Salesforce Platform, mobile applications · Agile Project Methodology · Cross functional / co-innovation work Why Work At Congruex Opportunities We offer opportunities at all levels across the nation - from students to industry veterans - in areas of engineering, construction, and professional services. Wellbeing We value the wellbeing of our people and offer competitive compensation, health benefits, wellness resources, 401(k) retirement planning, and employee recognition and leadership development programs. Options may vary by geographic location. Culture The pillars of Congruex culture are GRIT, safety, inclusion, and family. · GRIT: Our GRIT values are part of our company DNA and the touchstone for our multinational workforce. o Guts - having the guts to do the right thing o Reliability - being reliable to deliver what we promise o Innovation - innovating every day o Teamwork - embracing teamwork together as One Congruex · Safety: We are committed to 24/7 safety practices on our jobsites, within our offices, and all the places our team exists in between. · Inclusion: Congruex embraces our team's diversity and promotes an inclusive workplace for all. · Family: We are a family-oriented company committed to the long-term health and development of our people. The Fine Print: Some benefits have eligibility criteria. All requirements are subject to possible modification to reasonably accommodate individuals with disabilities. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. This document does not create an employment contract, implied or otherwise, other than an “at-will” employment relationship.

Job Profile Job Title: Intern, Business Analyst Reports To: Director, Solutions Architect Department: Business Process & Technology Compensation: $20/hour Congruex is looking for an Intern, Business Analyst to join our team. Learn more about it at ***************** Who is Congruex Congruex designs and builds broadband and wireless communications infrastructure. The work we do enables everything in the modern world to operate, from healthcare and energy to transportation and social interactions. We deliver turn-key network solutions under a single platform by aligning our engineering and in-market construction operating units. Our vision is to be the best end-to-end provider of network services in the U.S. and our core values of GRIT connect everything we do. We are building tomorrow, together. Will you join us? Your New Job Job Summary: The Operations Support Systems (OSS) Business Analyst Intern helps bridge business needs and technical solutions. The BA Intern attends Daily Stand-Up calls for prioritized work, attends / facilitates meetings with business stakeholders, and contributes to creation of documentation and other collateral. This role includes significant cross functional collaboration / co-innovation with end-user groups as well as team members from Operations, Application Development, & Digital Transformation. Key Responsibilities: * Requirements Gathering: o Attends meetings o Documents business needs / user stories o Compiles requirements into simple requirements documents * Process Analysis and Documentation: o Analyzes current state business workflows o Identifies process inefficiencies / gaps o Assists with development and documentation of future / end-state workflows o Workflow design * User Acceptance Testing: o Assists OSS / tech team with authoring test cases o Performs User Acceptance Testing o Reports issues and drives resolution to completion * Application Administration o Assists System Administrators with support tickets o Completes minor application configuration changes o Learns basics of force.com platform Qualifications: * Current University Student - Junior or Senior * Business or Technology related Major * Strong organizational and time management skills * Curiosity * Interest in technology, business process, and problem-solving * Good analytical skills & communication skills * Logical, methodical approach to problem solving Preferred Skills: * How to translate business problems into technical solutions * How to administer User Acceptance Testing * Process Documentation * Platform basics for Operation Support Systems (including Salesforce Platform, mobile applications * Agile Project Methodology * Cross functional / co-innovation work Why Work At Congruex Opportunities We offer opportunities at all levels across the nation - from students to industry veterans - in areas of engineering, construction, and professional services. Wellbeing We value the wellbeing of our people and offer competitive compensation, health benefits, wellness resources, 401(k) retirement planning, and employee recognition and leadership development programs. Options may vary by geographic location. Culture The pillars of Congruex culture are GRIT, safety, inclusion, and family. * GRIT: Our GRIT values are part of our company DNA and the touchstone for our multinational workforce. o Guts - having the guts to do the right thing o Reliability - being reliable to deliver what we promise o Innovation - innovating every day o Teamwork - embracing teamwork together as One Congruex * Safety: We are committed to 24/7 safety practices on our jobsites, within our offices, and all the places our team exists in between. * Inclusion: Congruex embraces our team's diversity and promotes an inclusive workplace for all. * Family: We are a family-oriented company committed to the long-term health and development of our people. The Fine Print: Some benefits have eligibility criteria. All requirements are subject to possible modification to reasonably accommodate individuals with disabilities. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. This document does not create an employment contract, implied or otherwise, other than an "at-will" employment relationship.

Posting Title Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis . . Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The Geospatial Data Science (GDS) team within the Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6-12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy deployment, big data science, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including geothermal, hydropower, transmission, bioenergy, wind, and solar. Geospatial modeling at NLR enables detailed techno-economic assessment, capacity expansion, and power systems modeling of energy resources under a variety of regulatory, sociopolitical, and environmental factors from local to continental scales. The successful intern candidate will support a large and diverse modeling portfolio with activities involving geospatial analyses, literature reviews, cartography, scientific programming, and tasks focused on data preparation, processing, and validation. This position will assist geospatial scientists in developing novel analytical solutions to complex challenges in energy siting, deployment, and adoption. Candidates should be interested in working in an interdisciplinary field, together with geospatial data scientists, software developers, and policy analysts, which will require excellent interpersonal and communication skills. Duties will include: * Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis * Preparing and processing geospatial data using open-source desktop software and programmatic approaches * Conducting background research on data sets, current modeling approaches, and existing tools * Developing literature reviews under the guidance of research scientists * Programming and scripting in Python to conduct analysis and visualize data * Working in distributed computing environments including internal servers, NREL's high-performance computing (HPC) system and the Cloud . Basic Qualifications Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution. Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution. Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution. Please Note: * Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. * If selected for position, a letter of recommendation will be required as part of the hiring process. * Must meet educational requirements prior to employment start date. * Must meet educational requirements prior to employment start date. Additional Required Qualifications * Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field * To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects. Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects * Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj * Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not used in this research group) * Experience working with geographic transformations and projections * Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team * Critical thinking skills; analytic and research skills; written and verbal communication skills Preferred Qualifications * Experience with linux/unix * Experience with collaborative code development * Experience with Machine Learning * Experience with the Geospatial data abstraction library (GADL) * Experience with big geospatial data processing . Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be extended as needed. Annual Salary Range (based on full-time 40 hours per week) Job Profile: / Annual Salary Range: $43,700 - $69,900 NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions. Benefits Summary Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. * Based on eligibility rules Badging Requirement NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement. Drug Free Workplace NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Submission Guidelines Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Reasonable Accommodations E-Verify ******************** For information about right to work, click here for English or here for Spanish. E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.

**Posting Title** Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis . . Type** Intern (Fixed Term) . **Hours Per Week** 40 . **Working at NLR** NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth. At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. **Job Description** The Geospatial Data Science (GDS) team within the Strategic Energy Analysis Center at the National Laboratory of the Rockies (NLR) is seeking a 6-12-month intern to support modeling and analysis. The GDS group conducts research at the intersection of energy deployment, big data science, and geospatial modeling and visualization. Our team of researchers develops and applies geospatial algorithms and methods to evaluate the deployment potential for energy technologies, including geothermal, hydropower, transmission, bioenergy, wind, and solar. Geospatial modeling at NLR enables detailed techno-economic assessment, capacity expansion, and power systems modeling of energy resources under a variety of regulatory, sociopolitical, and environmental factors from local to continental scales. The successful intern candidate will support a large and diverse modeling portfolio with activities involving geospatial analyses, literature reviews, cartography, scientific programming, and tasks focused on data preparation, processing, and validation. This position will assist geospatial scientists in developing novel analytical solutions to complex challenges in energy siting, deployment, and adoption. Candidates should be interested in working in an interdisciplinary field, together with geospatial data scientists, software developers, and policy analysts, which will require excellent interpersonal and communication skills. Duties will include: + Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis + Preparing and processing geospatial data using open-source desktop software and programmatic approaches + Conducting background research on data sets, current modeling approaches, and existing tools + Developing literature reviews under the guidance of research scientists + Programming and scripting in Python to conduct analysis and visualize data + Working in distributed computing environments including internal servers, NLR's high-performance computing (HPC) system and the Cloud . **Basic Qualifications** Minimum of a 3.0 cumulative grade point average. Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution. Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution. Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year. Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution. Please Note: - Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process. - If selected for position, a letter of recommendation will be required as part of the hiring process. - Must meet educational requirements prior to employment start date. *** Must meet educational requirements prior to employment start date.** **Additional Required Qualifications** + Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a related technical field + To be considered, all candidates must include in their resume and an online code repository such as GitHub with several publicly visible coding projects. Alternatively, please explain in your cover letter why your application does not include a code repository and/or several examples of previous projects + Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, shapely, pyproj + Proficiency and experience with geospatial analysis and modeling techniques using open-source tools, such as QGIS; (please note that ESRI tools are not used in this research group) + Experience working with geographic transformations and projections + Ability to work within a dynamically evolving digital environment as a member of collaborative and often-dispersed team + Critical thinking skills; analytic and research skills; written and verbal communication skills **Preferred Qualifications** + Experience with linux/unix + Experience with collaborative code development + Experience with Machine Learning + Experience with the Geospatial data abstraction library (GADL) + Experience with big geospatial data processing . **Job Application Submission Window** The anticipated closing window for application submission is up to 30 days and may be extended as needed. **Annual Salary Range (based on full-time 40 hours per week)** Job Profile: / Annual Salary Range: $44,500 - $71,200 NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions. **Benefits Summary** Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits. ***** Based on eligibility rules **Badging Requirement** NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement. **Drug Free Workplace** NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. **Submission Guidelines** Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application. . **Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. **Reasonable Accommodations (******************************************************* **E** **-Verify** ************************ **For information about right to work, click here (************************************************************************************************** for English or** **here (************************************************ for Spanish.** E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce. The National Laboratory of the Rockies (NLR) is a leader in the U.S. Department of Energy's effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NLR is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States. NLR is subject to Department of Energy (DOE) access restrictions. All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview and for hiring. DOE rules for site access during the interview process depend on whether the candidate is interviewed on-site, off-site, or via telephone or videoconference. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NLR by the Department of Energy (DOE). **Drug Free Workplace** NLR is committed to maintaining a drug-free workplace in accordance with federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug. If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn. Please review the information on our Hiring Process (************************************************* website before you create an account and apply for a job. We also hope you will learn more about NLR (**************************** , visit our Careers site (****************************** , and continue to search for job opportunities (**************************************** at the lab.

Job Profile Job Title: Intern, Business Analyst Reports To: Director, Solutions Architect Department: Business Process & Technology Primary Location: Boulder and Denver, CO Compensation: $20/hour Congruex is looking for an Intern, Business Analyst to join our team. Learn more about it at **************** . Who is Congruex Congruex designs and builds broadband and wireless communications infrastructure. The work we do enables everything in the modern world to operate, from healthcare and energy to transportation and social interactions. We deliver turn-key network solutions under a single platform by aligning our engineering and in-market construction operating units. Our vision is to be the best end-to-end provider of network services in the U.S. and our core values of GRIT connect everything we do. We are building tomorrow, together. Will you join us? Your New Job Job Summary: The Operations Support Systems (OSS) Business Analyst Intern helps bridge business needs and technical solutions. The BA Intern attends Daily Stand-Up calls for prioritized work, attends / facilitates meetings with business stakeholders, and contributes to creation of documentation and other collateral. This role includes significant cross functional collaboration / co-innovation with end-user groups as well as team members from Operations, Application Development, & Digital Transformation. Key Responsibilities: · Requirements Gathering: o Attends meetings o Documents business needs / user stories o Compiles requirements into simple requirements documents · Process Analysis and Documentation: o Analyzes current state business workflows o Identifies process inefficiencies / gaps o Assists with development and documentation of future / end-state workflows o Workflow design · User Acceptance Testing: o Assists OSS / tech team with authoring test cases o Performs User Acceptance Testing o Reports issues and drives resolution to completion · Application Administration o Assists System Administrators with support tickets o Completes minor application configuration changes o Learns basics of force.com platform Qualifications: · Current University Student - Junior or Senior · Business or Technology related Major · Strong organizational and time management skills · Curiosity · Interest in technology, business process, and problem-solving · Good analytical skills & communication skills · Logical, methodical approach to problem solving Preferred Skills: · How to translate business problems into technical solutions · How to administer User Acceptance Testing · Process Documentation · Platform basics for Operation Support Systems (including Salesforce Platform, mobile applications · Agile Project Methodology · Cross functional / co-innovation work Why Work At Congruex Opportunities We offer opportunities at all levels across the nation - from students to industry veterans - in areas of engineering, construction, and professional services. Wellbeing We value the wellbeing of our people and offer competitive compensation, health benefits, wellness resources, 401(k) retirement planning, and employee recognition and leadership development programs. Options may vary by geographic location. Culture The pillars of Congruex culture are GRIT, safety, inclusion, and family. · GRIT: Our GRIT values are part of our company DNA and the touchstone for our multinational workforce. o Guts - having the guts to do the right thing o Reliability - being reliable to deliver what we promise o Innovation - innovating every day o Teamwork - embracing teamwork together as One Congruex · Safety: We are committed to 24/7 safety practices on our jobsites, within our offices, and all the places our team exists in between. · Inclusion: Congruex embraces our team's diversity and promotes an inclusive workplace for all. · Family: We are a family-oriented company committed to the long-term health and development of our people. The Fine Print: Some benefits have eligibility criteria. All requirements are subject to possible modification to reasonably accommodate individuals with disabilities. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. This document does not create an employment contract, implied or otherwise, other than an “at-will” employment relationship.