Data scientist jobs in Longmont, CO

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

* 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

We are seeking a highly skilled Data Scientist / Machine Learning Engineer to develop advanced analytics and machine learning solutions that drive meaningful insights for our customers. In this role, you will design and test algorithms, build data-driven experiments, and collaborate closely with SMEs and developers to transform data into actionable intelligence. This position is ideal for someone who excels at both innovative research and practical implementation. Responsibilities: Algorithm Development: Develop machine learning, data mining, statistical, and graph-based algorithms to analyze complex data sets and uncover meaningful patterns. Model Evaluation: Test, validate, and down-select algorithms to determine the best-performing models for customer requirements. Experimental Design & Data Generation: Design experiments and creating synthetic or simulated data when training/example data sets are limited or unavailable. Data Visualization & Reporting: Produce clear reports, dashboards, and visualizations that communicate data insights to customers and stakeholders in an intuitive manner. Automation & SME Collaboration: Work with subject matter experts to convert manual analytic workflows into efficient, automated analytics solutions. Cross-Functional Development: Collaborate with software developers to ensure algorithms are properly implemented, optimized, and integrated into production systems. Required Qualifications: Active TS-SCI security clearance with the ability to obtain a CI poly. Experience designing, training, and validating machine learning models and statistical algorithms. Proficiency with Python, R, or similar languages used for analytics and model development. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Strong understanding of experimental design and data generation strategies. Ability to communicate complex analytic concepts to both technical and non-technical audiences. Demonstrated ability to work collaboratively across multidisciplinary teams. Degree in Mathematics/Statistics, Computer Science, or a relevant domain field. MA/MS degree with 13+ years of relevant experience, OR BA/BS degree with 15+ years of relevant experience in a discipline aligned with the position's responsibilities. Why Work for Us? Core4ce is a team of innovators, self-starters, and critical thinkers-driven by a shared mission to strengthen national security and advance warfighting outcomes. We offer: 401(k) with 100% company match on the first 6% deferred, with immediate vesting Comprehensive medical, dental, and vision coverage-employee portion paid 100% by Core4ce Unlimited access to training and certifications, with no pre-set cap on eligible professional development Tuition assistance for job-related degrees and courses Paid parental leave, PTO that grows with tenure, and generous holiday schedules Got a big idea? At Core4ce, The Forge gives every employee the chance to propose bold innovations and help bring them to life with internal backing. Join us to build a career that matters-supported by a company that invests in you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, disability, veteran status, age, genetic information, or other legally protected status.

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and supports data visualization and analytics. The Level 3 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than five areas is strongly preferred. Support to IDC. Building and maintaining custom data analytics to automate and scale signals analysis. Qualifications: Bachelor's degree and 10 years' relevant experience OR Associate's degree plus 12 years' experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field, a degree in the physical/hard sciences, or other science disciplines with a substantial computational component may be considered if it includes a concentration of coursework in advanced mathematics and/or computer science. TS/SCI with polygraph is required. Job Posted by ApplicantPro

Job Description At Wyetech, you'll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. 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 another 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 Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others 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 the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas:I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). Required Qualifications TS/SCI with agency appropriate poly Bachelor's Degree with 10 years of relevant experience Associates degree with 12 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant Experience Relevant experience must be in 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, and/or software engineering. Experience in more than one area is strongly preferred. The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. Pay Range: $65.83 - $126.96 per hour* Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications, and geographic location. *Hourly pay rates reflect the pre-benefit gross wage amounts. Wyetech, LLC 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 status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or ********************. We are happy to provide reasonable accommodations to ensure equal access to all candidates. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data ScientistLOCATIONAurora, CO 80014CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a curious and innovative Data Scientist to join our team and help transform data into actionable insights. In this role, you will use advanced analytics, machine learning models, and statistical methods to uncover trends, solve complex problems, and support strategic decision-making. Collaborating with cross-functional teams, you will analyze large datasets, develop predictive models, and communicate findings to drive business success. If you are passionate about using data to create impactful solutions and thrive in a dynamic, fast-paced environment, we encourage you to apply! *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. *** SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive Analytics Specialist, Computational Scientist, etc.DEGREE (Level Desired) Bachelor's DegreeDEGREE (Focus) Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Information Systems, Operations Research, Physics, Computational Biology, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.POSITION RESPONSIBILITIES Analyze large datasets Build predictive models Design data-driven solutions Present insights to stakeholders Clean and preprocess raw data Collaborate with cross-functional teams REQUIRED SKILLS Proficiency in Python or R Expertise in machine learning Data visualization skills Statistical analysis SQL querying Experience with big data tools DESIRED SKILLS Knowledge of deep learning frameworks Familiarity with cloud platforms Experience with A/B testing Proficiency in natural language processing Understanding of time-series analysis Expertise in optimization algorithms PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development. At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day. We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave. Ready to make your next move the best one? Join us and experience the difference. BENEFITS Excellent Salaries Flexible Work Schedule Cafeteria Style Benefits 10% - 401k Matching (Vested Immediately) Additional 401k Profit Sharing 30 days Paid Leave/Holiday (No Use or Lose!) The day off for your birthday Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus) HSA/FSA AFLAC Long Term/Short Term Disability - 100% employee coverage. No cost to you. Life Insurance - 100% employee coverage. No cost to you. Additional Discretionary Life Insurance Paid Training No long, wordy reviews with tons of paperwork!!! Referral bonus program with recurring annual payments HOW TO APPLY Email us at ***************** or apply today: **************** Want to see what our employees think? Click here . EQUAL OPPORTUNITY EMPLOYER STATEMENT Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. ************************************************************************** Must be a US Citizen Must have TS/SCI clearance w/ active polygraph This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for: Level 04 requires a minimum seventeen (17) years of experience w/ Degree Level 03 requires a minimum twelve (12) years of experience w/ Degree Level 02 requires a minimum five (05) years of experience w/ Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following 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 another 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 to Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others 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 the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations. These Qualifications Would be Nice to Have: Fully Cleared polygraph is preferred Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity. Analytics in GME, Jupyter notebooks, and Spark. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA• Dental insurance with 100% employer paid premium• Vision with 80% employer paid premium• Employer paid Life insurance 100%• Employer paid Short-term and Long-term disability 100%• Annual training, continued education, and professional memberships reimbursement• Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation• Annual reimbursement for technology i.e. phones, computers, printers, etc...• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, California, Florida and Hawaii.• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers• Leadership Team engagement and mentorship• Performance Recognition Program• Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email *********************** for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to *****************.

About Client: They are an equal opportunity employer and with value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Job Description: As a healthcare consultant, you will be working independently on individual projects followed by handling an excellent relationship with the client. On the whole your going to be a passionate player in using statistical tools and positive attitude. We are looking for a person who is too awesome, who loves the role and works with a lot of passion. We are awaiting to meet the excellent analytic specialist exactly like you. We would love to listen to your career success and will anticipate for your interest towards this job and I believe: You are powerful in data science, business reporting, and statistical analysis. You are proficient in Business Intelligence and Reporting. You are an expertise with R, SAS, SPSS. You have worked in Healthcare. You are amazing in using Predictive Modeling and advanced statistical techniques. You are excellent in Data Visualization. You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer and with value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additional Information All your information will be kept confidential according to EEO guidelines.

VERY URGENT AND IMMEDIATE NEED. Note: Need Only US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, and TN Visa. Job Title: Data Scientist Duration: 06+ Months Contract Must Skill Set: Wi-Fi CPE Development Job Description: We are seeking a Data Scientist to join our Wi-Fi CPE Development team in Englewood, Colorado. We define, develop, and test the hardware and software on Spectrum Advanced In-Home Wi-Fi routers deployed to millions of customer homes across the United States. Ideally, we are looking for a skilled data scientist with a good understanding of data models, machine learning models, data cleaning, and some domain knowledge in the field of Wi-Fi and/or wireless performance metrics. Responsibilities Employing data science techniques and analyzing large datasets to assist in proactive network management of larger wireless networks Identify root causes of RF and wireless issues encountered with equipment deployed in the lab, at test houses, or in production networks Understand and analyzing test results Developing models and software tools to organize and analyze large collections of wireless metrics Developing software and tools for interacting with cloud services, databases, and large datasets Creating visualizations and communicating insights across teams Collecting data from various sources (cloud data warehouse, internal database, third-party APIs) Developing and implementing supervised/unsupervised/reinforcement machine learning algorithms Must have: Master's degree in Computer Science or Electrical Engineering Proficiency in Linux and scripting Proficiency in Python and Jupyter notebooks Proficiency in SQL and relational/non-relational database Experience using data science and visualization tools, e.g. Pandas, matplotlib, etc. Experience with machine learning tools/libraries, especially in Python, e.g. scikit-learn, TensorFlow, PyTorch, etc. Fundamental algorithmic and data structure knowledge Strong verbal and written communications skills Willingness to work in an office environment Ability to work with colleagues across teams Desirable to have: Ph.D in Computer Science or Electrical Engineering or 3+ years of experience in software development in ML or data science fields Experience creating and maintaining live dashboards Experience with neural networks and deep learning algorithms Experience with MLOps - automate ML pipelines, monitor model performance, version control of data/model/code, scale models using Kubernetes and containers Experience architecting and deploying cloud services, databases, and controllers Familiarity with cloud environments such as AWS Knowledge of Wi-Fi technologies and protocols (i.e. IEEE 802.11a/b/g/n/ac/ax) Experience with managed Wi-Fi systems and equipment, including Wi-Fi controllers

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.

About the role We are looking for a Senior Data Scientist to join our team and be responsible for measuring, understanding, and helping optimize Coalition's insurance business. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber insurance customer experience in order to grow our revenue in a safe and efficient manner. This role will partner closely with key product, engineering, and insurance stakeholders to identify emerging trends, prioritize opportunities, and translate complex data into clear, actionable strategies that influence product and operational roadmaps. Responsibilities Lead cross-functional analytics projects that uncover insights and optimization opportunities across the end-to-end customer journey. Design and analyze experiments; establish best practices for test design, power, guardrails, and interpretation. Define, document, and maintain core funnel metrics; build automated dashboards and reporting used by leadership. Analyze disparate data sources and synthesize findings into clear narratives with recommended actions. Develop data models and scalable analytical workflows that improve reliability, repeatability, and time-to-insight. Influence product and revenue leadership with data-backed recommendations and OKR tracking. Mentor junior analysts/scientists and contribute to team best practices, code quality, and documentation. Skills and Qualifications 6+ years in analytics or data science with demonstrated product or revenue impact. Expert SQL, including complex modeling, performance optimization, and clear documentation. Proficiency in Python or R for analysis, experimentation, and reproducible workflows. Strong grasp of statistical methods: hypothesis testing, experiment design, causal thinking, and interpretation. Experience with BI tools such as Looker or Tableau; ability to build reliable, executive-ready dashboards. Excellent communication and stakeholder management; ability to translate technical work for non-technical audiences. Bonus Points Exposure and usage of AI Assisted coding IDEs like Cursor or Github Copilot Domain experience in insurance, insurtech, fintech, or adjacent regulated industries. Familiarity with Looker, Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora. Experience with analytics workflow tools such as dbt or Airflow. Exposure to causal inference methods and quasi-experimental designs. Compensation Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $134,700/year in our lowest geographic market up to $198,475/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed. Perks 100% medical, dental and vision coverage Flexible PTO policy Annual home office stipend and WeWork access Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)! Competitive compensation and opportunity for advancement

As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove's phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove's platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, follow us on LinkedIn. Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We're talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us - we work together and play together. Prove has big plans, and we're excited about the future. If this sounds like the place for you - come join our team! Title: Senior Data Scientist Department: Engineering & Data Reports To: Senior Manager, Data Science FLSA Status: Exempt Location: Denver, CO Job Summary We are seeking a Senior Data Scientist to play a critical role in building the future of digital identity. This pivotal role requires a strong blend of expertise in statistical analysis and applied machine learning, coupled with practical experience in production-oriented workflows. You will build models, generate insights, and proactively collaborate with Machine Learning Engineers, Engineers, and Product to ensure models are production-ready, effectively monitored, continuously improved, and meet the needs of the business. Key Responsibilities Develop, validate, and tune statistical and machine learning models that solve complex business problems. Partner with engineers to ensure models are designed with production deployment in mind. Using robust statistical methodologies, design experiments and proactively evaluate models for drift, accuracy, and reliability. Build and maintain dashboards that proactively monitor product efficacy and distribute key insights across product and customer domains. Collaborate with ML engineers on deployment pipelines, APIs, and infrastructure. Provide insights and business recommendations based on model performance in production and communicate results clearly to both technical and non-technical stakeholders. Identify opportunities for model improvements that drive up-sell, revenue growth, and cost reduction. Mentor team in best practices for applied ML and production readiness. Qualifications & Experience 5+ years of experience applying machine learning and statistics to business problems. Master's or PhD in Statistics, Computer Science, Data Science, or related field (or equivalent experience). Prior exposure to production ML environments and workflows. Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow). Strong background in statistical methods (supervised/unsupervised learning, classification models, etc.), experimental design, and data visualization (Looker) and storytelling. Strong proficiency in SQL (Snowflake) with an ability to work with raw data and collaborate with data engineering teams to optimize data pipelines. Proficiency with cloud platforms (AWS). Solid understanding of APIs, model deployment processes, and monitoring practices. Familiarity with other programming languages such as R, Java, and Go. Excellent communication skills with ability to bridge technical and business contexts. Strong problem-solving and proactive ownership mindset. Experience working in cross-functional teams with engineers, product managers, and business leaders. Ability to balance quick iterations with building long-term scalable solutions. Comfortable working in ambiguity: turning nebulous problems into concrete solutions and analyses. This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate's capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. The anticipated salary range for this role is $145,000 - $160,000 plus variable commission / company bonus. Offered salary will be determined by the applicant's education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data. Benefits & Perks for FTE Provers: Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan Modern Health for financial, mental, and physical wellness 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices) Unlimited Vacation and Flexible hours Comprehensive medical benefits for you and your family ❤️ Emotional & Physical Wellness - Access to wellness services (EAP & Prove Well-Being Reimbursement) Bottomless snacks & beverages for certain office locations Daily GrubHub stipend for lunch if coming into the office (US Offices) A great place to work and connect with other talented Provers like yourself! Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Equal Opportunity Employment: Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics Privacy & Data Protection: When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website.

Apply Senior Data Scientist Department of Agriculture Food Safety and Inspection Service 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 12/18/2025 to 01/02/2026 Salary $124,531 to - $161,889 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 14 Locations 2 vacancies in the following locations: Fort Collins, CO Athens, GA Urbandale, IA 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 14 Job family (Series) * 1529 Mathematical Statistics * 1550 Computer Science * 1560 Data Science Series Supervisory status No Security clearance Not Required 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-12842211-DW Control number 852744300 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. * Analyzes outputs from analyses. * Leads the design for data enhancement. * Performs quality checks for statistical inference. * Provides education on new approaches to data analysis. * Develops recommendations for data collection activities and data integration. * Maintains knowledge of science based analytical processes. 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. * 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/or education, as defined below. For the GS-14 grade level: Applicants must have one year of specialized experience (equivalent to the GS-13 grade level) that demonstrates: * Using Python or R in support of data analytics projects. * Developing and executing approaches for analyzing, interpreting, visualizing, and verifying complex data and analyses. * Leading projects by establishing objectives, assigning responsibilities, reviewing deliverables, and offering expert guidance on analytical programming, statistical techniques, and data visualization strategies. * 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): * Problem Solving * Oral Communication * Technical Competence * Analytical Programming * Manages and Organizes Information 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? If education is required or you are using education to qualify, 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. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. 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). 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? If education is required or you are using education to qualify, 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. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. Key Responsibilities: * Partner with stakeholders to identify high-impact, feasible opportunities and demonstrate how data science can drive business outcomes * Develop machine learning models for customer segmentation, churn prediction, user modeling, and lifetime value estimation * Design and deploy GenAI and LLM solutions to automate complex workflows, such as transcript analysis and compliance validation * Transform and analyze large-scale structured and unstructured data (e.g., text, images) to uncover actionable insights * Collaborate with cross-functional teams to build and deploy scalable, cloud-based data science and GenAI solutions; provide technical mentorship * Communicate complex models and findings to both technical and non-technical audiences via dashboards, notebooks, and presentations Skills, Experience and Requirements Education and Experience: * Bachelor's or Master's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field * Master's or PhD in a relevant quantitative domain * 4+ years of experience in data science and applied machine learning, with a proven track record of delivering business impact from data-driven solutions * Experience with big data tools such as Amazon Athena, Redshift, BigQuery, Spark, or Teradata * Experienced in prompt engineering, model evaluation, and deploying LLMs in production environments * Hands-on experience with AWS cloud environments and enterprise-scale ML platforms like Dataiku and Databricks Skills and Qualifications: * Strong foundation in statistical and machine learning techniques, including regression, classification, clustering, neural networks, and ensemble models * Proficient in Python and SQL for data science workflows; skilled in building and evaluating generative AI and LLM-based solutions * Skilled in processing unstructured data (text, images) using modern ML/DL frameworks * Proven ability to design, run, and analyze A/B tests and controlled experiments * Familiarity with MLOps practices for deploying, monitoring, and maintaining ML/GenAI systems in production * Data engineering skills for preprocessing, cleaning, and transforming large-scale datasets Visa sponsorship not available for this role Salary Ranges Compensation: $96,250.00/Year - $158,125.00/Year Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits. The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment 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 protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact *************** if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**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. 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.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

+ AI Overviews leverages cutting-edge language models and integrates them with our core search ranking systems to deliver a new level of search experience. + It goes beyond traditional search results by providing synthesized summaries, along with relevant links to high-quality webpages, helping users quickly grasp key information and dive deeper into areas of interest. + Our team sits within the operational core of the AI Overviews program, partnering with supplier and full time teams to scale high quality data curation (writing and evaluations) for model training. **Responsibilities:** + You'll play a key role in establishing scalable processes for creating and evaluating high-quality training data, directly impacting the quality of AI Overviews. This involves collaborating with engineers, UX designers, and technical writers to define best practices, ensure consistency, and ultimately scale our UX capabilities from a data quality standpoint. + Create and curate "platinum sets" of high-quality training data to refine our language models, enhancing their ability to generate informative and engaging summaries. + Work with Eng, UX and Tech Writers to understand how to scale the development of Platinum sets/quality assessments for data curation. + Maintain consistency and quality across a large scale data curation program: Adhere to established style guidelines and ensure the overall quality and coherence of the generated datasets. + Develop frameworks: for creating platinum/calibration and Golden sets. **Experience:** + 3-5 years of experience with Data Science in Tech or related fields. + Strong communication and interpersonal skills: Ability to effectively collaborate with engineers, UX designers, and technical writers to understand their needs and translate them into data requirements. + Ability to clearly document processes and guidelines: This ensures that data curation practices are well-defined, consistent, and easily understood by others. **Desired Skills:** + Understanding of natural language processing (NLP): Familiarity with basic NLP concepts and techniques can be helpful for understanding how language models work and how data quality impacts their performance. **Education:** + Bachelor's degree in Communications, Journalism, English or related field of study. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Internship Description Job Type: Internship, minimum 15hr/week, maximum 40hr/week (January-May 2026) Salary: $20/hr About this Job As part of the Product Development/Innovation team, this role will help explore new technologies and new markets for sustainable, renewable raw materials, like wood residuals (think sawdust & shavings from lumber/furniture and floor making industries). The work is very cross-functional and feeds into a portfolio of new business opportunities. We're putting a lot of focus on consumer products, so branding, consumer research, and market analysis are a big part of what you'll be involved in, along with prototyping, business model creation, and vendor/partner coordination. About Lignetics, Inc. We're a family of brands dedicated to producing high-quality, 100% natural products that turn wood waste into a range of premium eco-friendly products. Our commitment to creating premium-grade wood products is central to everything we do. As a family of brands we own and manage 25+ mills across the country that turn wood waste into clean, green products. Our eco-friendly offering includes premium wood pellets, logs and fire starters for super-efficient heating, seasoned BBQ pellets that naturally seals in food flavor, and highly absorbent animal bedding that ensures warmth and comfort. We're dedicated to making the best performing and most trusted natural wood products in America. Lignetics is the largest residential wood pellet manufacturing company in the U.S. which now has a production capacity of over 2,000,000 tons of wood pellets per year. Please send cover letter along with resume and application. Requirements Duties and Responsibilities • Conduct product tests; performance and QA-related. • Develop new test methods with guidance. • Analyze data and share results. • Prepare prototype formulations. • Conduct online research on material and/or vendor options. • Support consumer testing programs and data analysis. Education, Skills and Physical Requirements • Working towards Bachelor's degree in Engineering, Chemistry, Material Science, Physical Science or like field. • Previous internship or part-time experience relative to major a plus. • Must have a “roll up your sleeves” approach, be highly analytical and forward-thinking. • Requires the ability to do simple to complex math calculations. • Able to conduct experiments with solid scientific method skills. • Able to analyze and communicate data and results. • Interest/experience in non-technical product development (marketing, branding) another plus. #IDCorporate Salary Description $20/hour