Senior data scientist jobs in Salt Lake City, UT

Role: ETL Data Engineer Employment Type: Full-time Experience: 8+ Years We are seeking an ETL Data Engineer with strong experience in building and supporting large-scale data pipelines. The role involves designing, developing, and optimizing ETL processes using tools like DataStage, SQL, Python, and Spark. You will work closely with architects, engineers, and business teams to create efficient data solutions. The job includes troubleshooting issues, improving performance, and handling data migration and transformation tasks. You will also support Test, QA, and Production environments while ensuring smooth deployments. Strong skills in databases, scripting, and version control are essential for this position. Responsibilities Collaborate with architects, engineers, analysts, and business teams to develop and deliver enterprise-level data platforms that support data-driven solutions. Apply strong analytical, organizational, and problem-solving skills to design and implement technical solutions based on business requirements. Develop, test, and optimize software components for data platforms, improving performance and efficiency. Troubleshoot technical issues, identify root causes, and recommend effective solutions. Work closely with data operations teams to deploy updates into production environments. Provide support across Test, QA, and Production environments and perform additional tasks as needed. Required Qualifications Bachelor's degree in Computer Science, Computer Engineering, or a related discipline. Strong experience in Data Warehousing, Operational Data Stores, ETL tools, and data management technologies. 8+ years of hands-on expertise in ETL (IBM DataStage), SQL, UNIX/Linux scripting, and Big Data distributed systems. 4+ years of experience with Teradata (Vantage), SQL Server, Greenplum, Hive, and delimited text data sources. 3+ years of experience with Python programming, orchestration tools, and ETL pipeline development using Python/Pandas. Deep understanding of data migration, data analysis, data transformation, large-volume ETL processing, database modeling, and SQL performance tuning. Experience creating DDL scripts, stored procedures, and database functions. Practical experience with Git for version control and release processes. Familiarity with Spark framework, including RDDs using Python or Scala.

** 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 ****************** .

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems is seeking a Data Scientist - 15993. This position will be located in Roy, Utah and will support the Sentinel program. Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization. Requires strong statistical and data visualization skills. In this role, you will be instrumental in managing, engineering, and analyzing diverse data sets across various business areas. Our team is dedicated to developing a culture of data-driven decision-making and creating business value by utilizing data analytics techniques. You will collaborate with key stakeholders to identify, develop, and deploy data solutions that align with our strategic objectives. The ideal candidate will be entrepreneurial, a self-starter, and capable of challenging the status quo while driving innovation in data engineering solutions. This position provides the chance to apply your expertise in data engineering to projects with significant impact. Responsibilities will include: -The design and construction of scalable data pipelines to integrate various data sources within the defense sector. -Develop and optimize data models and database management systems, working independently and mentoring junior engineers. -Implement and enhance ETL processes and data warehousing solutions to ensure efficient data flow and storage. -Maintain and improve DevOps practices, including version control, automated testing, and continuous integration/deployment for data workflows. -Collaborate with cross-functional teams to gather requirements, translate them into data-driven solutions, and ensure alignment with strategic goals. -Ensure adherence to data security protocols and compliance with industry regulations, demonstrating expertise in best practices. -Engage in continuous learning to stay at the forefront of data engineering trends and technologies. Basic Qualifications: • Bachelor's degree with at least 5 years of relevant experience OR Master's degree in a with at least 3 years of relevant experience, 4 additional years of experience may be used in lieu of a degree. • Must have an active U.S. Government DoD Secret security clearance at time of application, current and within scope, with an ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business need • At least 2 years of experience with Python or Scala for data processing; experience with querying and optimizing large datasets with relational and non-relational databases (e.g., PostgreSQL, MySQL, DynamoDB, or MongoDB). • At least 2 years of experience with data visualization tools such as Tableau for building business decision making dashboards • At least 2 years of experience with Atlassian tools such as Jira and Confluence for work flow management, integrating tools to streamline tracking and enhance collaboration across teams. • At least 2 years of experience with Teamcenter objects and data mechanics and data sharing/collaboration with business systems Preferred Qualifications: • Experience in Product Design Engineering workflow processes for technical teams • Experience with version control systems like Git and CI/CD pipelines (e.g., GitLab CI/CD, Jenkins). • Experience with Microsoft SQL Server for database management, optimization, and querying, alongside experience with other relational and non-relational databases • Technical experience within a Digital Engineering Ecosystem • Experience with demonstrated proficiency in project management of engineering teams. • Proficient in Microsoft Office products, including PowerPoint, Word, and Excel Primary Level Salary Range: $108,200.00 - $162,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Role: Sr. Data Scientist Reports To: CTO The Senior Data Scientist will be the first and sole Data Scientist in the organization, serving as a foundational member of 401GO's growing data function. In this role, you will not only lead advanced analytics, modeling, and experimentation efforts, but also help shape the long-term data strategy and infrastructure for the company. As the team and business scale, this role will be responsible for building, hiring, and managing a high-performing data science team. This is an ideal position for someone who thrives in high-growth environments, enjoys solving complex problems, and is excited about owning both hands-on analytics and future leadership responsibilities. What You'll Be Doing: * Lead the Data Science Program: Architect the long-term data science roadmap, including infrastructure, hiring, processes, and best practices. * Build and mentor a high-performing data science and analytics team as the company grows. * Establish data governance, documentation standards, and model lifecycle management. * AI and Machine Learning Development: Develop and curate high-quality datasets for internal AI tools, ensuring privacy, security, and consistency. * Hands-On Data Science and Analytics: Analyze complex datasets to uncover trends, behaviors, operational bottlenecks, and strategic insights. * Build dashboards, predictive models, and custom analytics to support executive decision-making. * Work closely with Finance to improve forecasting, cost modeling, revenue analytics, and operational reporting. * Cross-Functional Leadership: Collaborate with executives, engineering, operations, customer success, finance, and product to identify data opportunities and drive measurable impact. What You Bring: * 10+ years of professional data science experience, including senior or lead-level responsibilities. * A willingness to be a "jack of all trades" data scientist, willing to switch between high-level strategy and deep hands-on execution. * Experience creating and managing datasets for AI applications, or a willingness and eagerness to learn. * Experience working with cloud platforms (GCP preferred; BigQuery experience is a plus). * Experience with BI tools (Looker, Tableau, Metabase, etc.). * Proven ability to build and scale data programs, processes, and teams. * Experience supporting business functions like Finance, Operations, Product, or Growth with analytics and reporting. * Strong communication skills, able to present complex insights to executive leaders and non-technical teams. Job Type: Full-time Location: United States Why 401GO? At 401GO, we're not just changing retirement-we're reinventing it. As a fast-growing fintech start-up, we've built the world's most advanced, fully automated retirement platform to help hard-working Americans take control of their future. Here, innovation moves fast, ideas matter, and your work makes a real impact. You'll enjoy a collaborative and supportive environment where great people do their best work together, backed by competitive compensation, excellent benefits, and plenty of opportunities for professional growth. If you're ready to challenge the status quo and be part of something big, 401GO is the place to grow your career. What We Offer * A standout 401(k) plan (naturally!). * Generous stock options-share in our growth and success. * Flexible work environment-choose where you're most productive. * Excellent benefits, including medical, dental, and vision. * Flexible hours-because great work doesn't always happen 9-5. * Plenty of PTO-we value work-life balance. * A fully stocked kitchen when you're in the office. At 401GO, we invest in our people just as much as we invest in helping Americans secure their financial future. We are proud to be an Equal Opportunity Employer. We support a working environment that provides qualified employees and applicants with equal employment opportunity on a non-discriminatory basis without regard to race, color, creed, age, religion, gender (including pregnancy, gender identification and/or gender nonconformity) sexual orientation, marital status, national origin, ancestry, ethnicity, genetic information, physical or mental disability, citizenship, past, current or prospective service in the uniformed services or any other basis prohibited by federal, state, or local law.

Job DescriptionRole: Sr. Data Scientist The Senior Data Scientist will be the first and sole Data Scientist in the organization, serving as a foundational member of 401GO's growing data function. In this role, you will not only lead advanced analytics, modeling, and experimentation efforts, but also help shape the long-term data strategy and infrastructure for the company.As the team and business scale, this role will be responsible for building, hiring, and managing a high-performing data science team. This is an ideal position for someone who thrives in high-growth environments, enjoys solving complex problems, and is excited about owning both hands-on analytics and future leadership responsibilities. What You'll Be Doing: Lead the Data Science Program: Architect the long-term data science roadmap, including infrastructure, hiring, processes, and best practices. Build and mentor a high-performing data science and analytics team as the company grows. Establish data governance, documentation standards, and model lifecycle management. AI and Machine Learning Development: Develop and curate high-quality datasets for internal AI tools, ensuring privacy, security, and consistency. Hands-On Data Science and Analytics: Analyze complex datasets to uncover trends, behaviors, operational bottlenecks, and strategic insights. Build dashboards, predictive models, and custom analytics to support executive decision-making. Work closely with Finance to improve forecasting, cost modeling, revenue analytics, and operational reporting. Cross-Functional Leadership: Collaborate with executives, engineering, operations, customer success, finance, and product to identify data opportunities and drive measurable impact. What You Bring: 10+ years of professional data science experience, including senior or lead-level responsibilities. A willingness to be a “jack of all trades” data scientist, willing to switch between high-level strategy and deep hands-on execution. Experience creating and managing datasets for AI applications, or a willingness and eagerness to learn. Experience working with cloud platforms (GCP preferred; BigQuery experience is a plus). Experience with BI tools (Looker, Tableau, Metabase, etc.). Proven ability to build and scale data programs, processes, and teams. Experience supporting business functions like Finance, Operations, Product, or Growth with analytics and reporting. Strong communication skills, able to present complex insights to executive leaders and non-technical teams. Job Type: Full-time Location: United States Why 401GO?At 401GO, we're not just changing retirement-we're reinventing it. As a fast-growing fintech start-up, we've built the world's most advanced, fully automated retirement platform to help hard-working Americans take control of their future. Here, innovation moves fast, ideas matter, and your work makes a real impact. You'll enjoy a collaborative and supportive environment where great people do their best work together, backed by competitive compensation, excellent benefits, and plenty of opportunities for professional growth. If you're ready to challenge the status quo and be part of something big, 401GO is the place to grow your career. What We Offer A standout 401(k) plan (naturally!). Generous stock options-share in our growth and success. Flexible work environment-choose where you're most productive. Excellent benefits, including medical, dental, and vision. Flexible hours-because great work doesn't always happen 9-5. Plenty of PTO-we value work-life balance. A fully stocked kitchen when you're in the office. At 401GO, we invest in our people just as much as we invest in helping Americans secure their financial future.We are proud to be an Equal Opportunity Employer. We support a working environment that provides qualified employees and applicants with equal employment opportunity on a non-discriminatory basis without regard to race, color, creed, age, religion, gender (including pregnancy, gender identification and/or gender nonconformity) sexual orientation, marital status, national origin, ancestry, ethnicity, genetic information, physical or mental disability, citizenship, past, current or prospective service in the uniformed services or any other basis prohibited by federal, state, or local law. E04JI800lnui4086tyn

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**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.

84604 Job Family: Data Engineering We are seeking a hard-working, innovative, detail-oriented, and creative team player to join our Aptive team! This is a full-time Data Scientist position located in Provo, Utah. This role combines advanced statistical expertise with machine learning, analytics engineering, and business acumen to improve process efficiency, enhance forecasting accuracy, and guide strategic initiatives. What we offer: $100k to $130k Annually, depending on experience Annual Bonus Group Health, Dental, and Vision plans Pet insurance, Life insurance, and EAP benefits 401K with employer match up to 4% Paid holidays and paid time off Opportunity for advancement Upbeat and exciting company culture and much more! Responsibilities include: Develop and refine machine learning models to support forecasting, classification, ranking, or optimization needs across business units Build, maintain, and enhance data pipelines, data models, and automated workflows to ensure reliable and scalable analytics operations Conduct statistical and causal analyses to detect performance trends, identify root causes, and inform operational decision-making Translate ambiguous business questions into analytical frameworks, clearly outlining hypotheses, assumptions, and limitations Identify and correct data biases, including selection bias, survivorship bias, Simpson's paradox, data leakage, and collider bias to ensure analytical integrity Design, execute, and evaluate causal experiments and A/B tests to measure the impact of operational or product changes Develop, monitor, and communicate KPIs that improve visibility into operational performance, resource allocation, and strategic outcomes Prepare and present clear, decision-ready insights to executive leadership and cross-functional partners using visualizations, dashboards, and written summaries Use SQL, Python, and internal data platforms (e.g., Snowflake, Airflow, AWS) to extract, validate, and transform large datasets for analysis and modeling Collaborate with Engineering, Product, Operations, Finance, Marketing, and Strategy teams to align models, data structures, and insights with organizational needs Validate analytical work rigorously, ensuring reproducibility, accuracy, and proper documentation across all models and deliverables Provide guidance on analytical methods, experiment design, and statistical best practices to cross-functional stakeholders Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field; or equivalent practical experience Requirements: 3-5 years in statistical analysis, data science, or related analytical roles with proven experience working with large datasets in business environments Advanced statistical and machine learning expertise, including causal inference, experiment design, model development, and mitigation of common data biases Proficiency in Python, SQL, data pipeline architecture, cloud data tools (e.g., Snowflake, Airflow, AWS), and BI platforms such as Tableau, Sigma, or Domo Strong ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders, supported by exceptional communication and visualization skills Demonstrated analytical rigor, attention to detail, and ability to manage multiple projects while collaborating effectively across cross-functional teams Aptive Pest Control: Aptive Pest Control provides pest control services to 34 states in the US. Co-founded in 2015 by Vess Pearson and David Royce, Aptive launched with the clear intention of becoming a world-recognized brand. In 2021, Aptive was included in Inc. Magazine's “Best in Business” list of companies that make a positive impact. Aptive is also featured on Glassdoor's 2019 list of Top 100 US workplaces and is ranked one of Entrepreneur Magazine's Best Companies in America. We are a proud member of the EPA's Pesticide Environmental Stewardship Program and have partnered with the United Nations Foundation's "United to Beat Malaria" to help stop the spread of malaria transmitted by mosquito bites. *Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please inform your recruiter.

84604 Job Family: Data Engineering We are seeking a hard-working, innovative, detail-oriented, and creative team player to join our Aptive team! This is a full-time Data Scientist position located in Provo, Utah. This role combines advanced statistical expertise with machine learning, analytics engineering, and business acumen to improve process efficiency, enhance forecasting accuracy, and guide strategic initiatives. What we offer: * $100k to $130k Annually, depending on experience * Annual Bonus * Group Health, Dental, and Vision plans * Pet insurance, Life insurance, and EAP benefits * 401K with employer match up to 4% * Paid holidays and paid time off * Opportunity for advancement * Upbeat and exciting company culture and much more! Responsibilities include: * Develop and refine machine learning models to support forecasting, classification, ranking, or optimization needs across business units * Build, maintain, and enhance data pipelines, data models, and automated workflows to ensure reliable and scalable analytics operations * Conduct statistical and causal analyses to detect performance trends, identify root causes, and inform operational decision-making * Translate ambiguous business questions into analytical frameworks, clearly outlining hypotheses, assumptions, and limitations * Identify and correct data biases, including selection bias, survivorship bias, Simpson's paradox, data leakage, and collider bias to ensure analytical integrity * Design, execute, and evaluate causal experiments and A/B tests to measure the impact of operational or product changes * Develop, monitor, and communicate KPIs that improve visibility into operational performance, resource allocation, and strategic outcomes * Prepare and present clear, decision-ready insights to executive leadership and cross-functional partners using visualizations, dashboards, and written summaries * Use SQL, Python, and internal data platforms (e.g., Snowflake, Airflow, AWS) to extract, validate, and transform large datasets for analysis and modeling * Collaborate with Engineering, Product, Operations, Finance, Marketing, and Strategy teams to align models, data structures, and insights with organizational needs * Validate analytical work rigorously, ensuring reproducibility, accuracy, and proper documentation across all models and deliverables * Provide guidance on analytical methods, experiment design, and statistical best practices to cross-functional stakeholders Qualifications: * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field; or equivalent practical experience Requirements: * 3-5 years in statistical analysis, data science, or related analytical roles with proven experience working with large datasets in business environments * Advanced statistical and machine learning expertise, including causal inference, experiment design, model development, and mitigation of common data biases * Proficiency in Python, SQL, data pipeline architecture, cloud data tools (e.g., Snowflake, Airflow, AWS), and BI platforms such as Tableau, Sigma, or Domo * Strong ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders, supported by exceptional communication and visualization skills * Demonstrated analytical rigor, attention to detail, and ability to manage multiple projects while collaborating effectively across cross-functional teams Aptive Pest Control: Aptive Pest Control provides pest control services to 34 states in the US. Co-founded in 2015 by Vess Pearson and David Royce, Aptive launched with the clear intention of becoming a world-recognized brand. In 2021, Aptive was included in Inc. Magazine's "Best in Business" list of companies that make a positive impact. Aptive is also featured on Glassdoor's 2019 list of Top 100 US workplaces and is ranked one of Entrepreneur Magazine's Best Companies in America. We are a proud member of the EPA's Pesticide Environmental Stewardship Program and have partnered with the United Nations Foundation's "United to Beat Malaria" to help stop the spread of malaria transmitted by mosquito bites. * Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please inform your recruiter.

**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 (***************************************************************************************************************************

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future. Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes. The Product Analytics team at Vivint partners with stakeholders across the organization to provide meaningful insight into our products and our customers. We are in an exciting space as we try to understand how people interact with their homes from security and sensors, to lighting and computer vision our team reaches across the organization to provide understanding and insights. We are seeking a talented Senior Data Scientist to lead our efforts in optimizing and advancing our data-driven initiatives. The ideal candidate will play a pivotal role in leveraging data-driven insights to enhance the performance, reliability, and scalability of our systems. As a Senior Data Scientist, you will collaborate closely with cross-functional teams to develop and deploy advanced analytics solutions, drive strategic decision-making, and shape the future of energy management. Primary Responsibilities: Develop models and insights that help drive our energy strategy Leverage data to provide a better home energy experience to customers Collaborate with engineering teams to deploy scalable solutions and integrate analytics into existing systems. Communicate findings and recommendations to stakeholders through clear and compelling visualizations, reports, and presentations. Work closely with product managers and stakeholders to understand business requirements, prioritize projects, and deliver actionable recommendations. Required Skills: Experience with timestamped event data and common data transformations. Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modelling, Forecasting, Energy or other fields Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and dashboarding platforms. Highly analytical with strong, demonstrated problem solving and critical thinking capabilities An understanding of statistical analysis. Proficient in Python and the associated ML / Data science frameworks Proficient in Spark Experience with Advanced Data Models / ML Experience with A/B Testing Proven ability to work across teams and roles Nice to Have Skills: Knowledge of text analytics and natural language processing (NLP) techniques. Experience working with large language models (LLMs) and their applications in data analysis and decision support systems. Experience with GCP Required Education/Experience: Graduate Degree in a Quantitative field (Math, Statistics, Engineering, Computer Science) or relevant experience. 5+ years work experience. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. Official description on file with Talent.

Data Scientist | Product Management | Lehi, Utah | Hybrid RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it. Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day. We're searching for a US-based Data Scientist to join our Analytics & Insights team, so that we can deliver predictive models, intelligent data pipelines, and actionable insights to improve patient outcomes and operational efficiency. The Data Scientist will design, implement, and scale advanced statistical and machine learning solutions to help healthcare organizations make better, data-driven decisions. Develop statistical models and machine learning algorithms to support predictive analytics, forecasting, and decision-making in healthcare operations Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks in order to deliver reliable, scalable data pipelines Design and implement experiments and hypothesis tests to validate product impact and optimize customer outcomes Collaborate with engineers, product managers, and clinical experts to translate business questions into data-driven solutions Implement monitoring, validation, and alerting tools to ensure data quality, accuracy, and system reliability What Kind of Things We're Most Interested in You Having Mid-level experience in data science, machine learning, or a related role, ideally within SaaS or healthcare Proven success in building and deploying end-to-end data solutions (from pipeline to predictive model to production) In-depth knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design Applied experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms such as AWS/GCP/Azure) Demonstrated ability to troubleshoot and debug data workflows while maintaining system scalability and availability Sincere interest in using data science to improve healthcare outcomes and operational efficiency A knack for working collaboratively across technical and non-technical teams in a fast-paced, global environment By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays. RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws. As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to accessibility@rldatix.com. Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.

Full-time Description The Utah Jazz are looking for a Data Scientist to perform modeling and analysis that will help inform basketball decision-making. We are located in Salt Lake City, but are open to remote candidates (must be legally authorized to work in the United States). DUTIES & RESPONSIBILITIES: Develop and maintain models to better predict basketball outcomes and facilitate better decision-making across Basketball Operations. Perform ad hoc data analysis as necessary to help basketball decision-makers. Interface with all departments within Basketball Operations (scouting, coaching, analytics, sports science) and strive to understand and meet their needs. Identify, research, and implement opportunities for new models, data sources, and basketball analytics techniques. Help maintain and test datasets used to perform analysis. Maintain best practices for software development including test writing, documentation, and adherence to and improvement of coding standards. Protect the reputation of the company. Exemplify the Utah Jazz mission and values: transparent, all in, community obsessed, one team, and scrappy. Accept other duties, as assigned. COMPETENCIES: Communicates Effectively - Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. Demonstrates Self-awareness - Uses a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses. QUALIFICATIONS: Bachelor's in Statistics, Data Science, Math or equivalent experience. 2+ years of experience analyzing data and training statistical models in a production environment using Python or R. 2+ years of experience with basketball data and the latest basketball analytics techniques. 2+ years of experience with data visualization. Expertise in statistics fundamentals and state-of-the-art predictive modeling techniques. A desire to work in a startup-like environment where you will be empowered to make design decisions. A track record of writing clean and well-documented code. Enthusiasm for basketball. Nice to have experience with MLOps. Nice to have experience with SQL. Nice to have experience with data engineering. Must be legally authorized to work in the United States. PHYSICAL DEMANDS: This person must be able to communicate and express themselves both written and verbally. This person must be able to observe, inspect, estimate, and assess. This person must be able to sit for long periods of time. The Utah Jazz provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Note: The need may arise to revise, supplement, or rescind portions of this , and Utah Jazz reserves the right to do so at any time. Employees shall be required to meet the qualifications and perform the duties of any revised job description.

MeetCute needs a data scientist MeetCute has a lot of data, and needs to mine that data to #hackdating. As a growing company, we're looking for smart, curious people to answer questions and provide insights that make MeetCute a better place to find a date. The main technologies you'll be working with are Python and MySQL. Several years of data science experience are preferred. Requirements You need to be: Independent Smart Good at communicating Capable Python programmer Able to think critically and effectively about user experience Effective at turning open-ended projects into concrete deliverables It's also good if you have: Math or CS degree Familiarity with IPython notebook (or Jupyter), pandas, Hadoop How does a MeetCute data scientist #hackdating? First, and most importantly, is the design and analysis of experiments. We run a substantial number of tests in the process of developing our project, and we want to make sure we come to the right conclusions. Data scientists are also often called upon to answer questions about how the site currently functions, to inform and guide future product decisions that we make. These questions tend to be open-ended, so the ability to go from a vague question to a concrete answer is essential. How can you join our team? Send us your resume and tell us why you're excited to join us

Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. Required Qualifications Proven expertise in predictive modeling, forecasting, and applied ML (e.G., regression, gradient boosting, time-series, causal inference). Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). Ability to take models from concept to production in collaboration with engineering partners. Skilled in statistical analysis, feature engineering, and experimental design (e.G., A/B testing). Excellent communication and storytelling skills for complex, data-driven topics. Preferred Qualifications Experience with energy forecasting, thermal modeling, or Demand Response optimization. Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. Familiarity with LLM or generative AI applications in analytics and optimization. Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives.

+ A Company is redefining home energy intelligence through data and AI to enable personalized comfort, energy efficiency, and demand-response optimization across millions of connected homes. + We are seeking a Staff Data Scientist to design and deploy predictive models that enable intelligent home energy decisions: from forecasting comfort and cost to optimizing EV charging and demand response events. + Develop Predictive Models: Build and deploy advanced models for occupancy, runtime, cost forecasting, anomaly detection, and preconditioning to enable comfort-aware, energy-efficient control and maintenance. **Responsibilities:** + Optimize Energy Operations: Use data-driven insights to improve the reliability and precision of Demand Response (DR), Time-of-Use (TOU) shifting, and Virtual Power Plant (VPP) strategies. + Advance Data Quality & Scalability: Partner with data engineering to transform legacy data structures into robust, documented, and reusable data products that support ML and real-time analytics. + Cross-Functional Collaboration: Work closely with product, engineering, and analytics teams to embed intelligence into production systems and shape future data-driven energy experiences. + Communicate Impact: Translate complex model outcomes into actionable insights for both technical and non-technical audiences. **Experience:** + Proven expertise in predictive modeling, forecasting, and applied ML (e.g., regression, gradient boosting, time-series, causal inference). + Experience working with large-scale event and sensor data, preferably within energy, IoT, or device-driven ecosystems. + Strong proficiency in Python (Pandas, NumPy, scikit-learn, PySpark) and experience with distributed compute environments (Spark, Databricks, GCP). + Ability to take models from concept to production in collaboration with engineering partners. + Skilled in statistical analysis, feature engineering, and experimental design (e.g., A/B testing). + Excellent communication and storytelling skills for complex, data-driven topics. **Skills:** + Experience with energy forecasting, thermal modeling, or Demand Response optimization. + Understanding energy markets, Distributed Energy Resources (DER), and Virtual Power Plant (VPP) concepts. + Familiarity with LLM or generative AI applications in analytics and optimization. + 5+ years of industry experience, including demonstrated technical leadership on high-impact modeling initiatives. **Education:** + Advanced degree (MS/PhD) in a quantitative field such as Statistics, Computer Science, or Engineering. **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, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Palace Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The Palace Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1520 Mathematics Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804734-AKK Control number 846709100 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help * Perform mathematical work assignments involving a segment of a scientific area, or applied field of mathematics. * Apply general scientific theories, and principles of mathematics, as well as the full range of methods, procedures, and techniques, to conduct work assignments. * Required to make independent decisions concerning standard practices and procedures in performance of multiple tasking, to make minor modification for work efforts, and to recommend course of action for technical problems which are not covered by standard scientific practices. * Perform mathematical work in support of projects and studies assigned to higher graded mathematicians or scientists. * Perform a segment of the project or study, utilizing the full range of methods, procedures, and techniques for that specific field of mathematics. * Assist higher graded mathematicians or scientists in finding solutions for problems requiring a variety of data sources and scientific disciplines. Requirements Help Conditions of employment * Please read this Public Notice in its entirety prior to submitting your application for consideration. * U.S. Citizenship is required * Males must be registered for Selective Service, see *********** * Total salary varies depending on location of position * PCS expenses if authorized will be paid IAW JTR and Air Force Regulations * Recruitment incentives may be authorized * Position may be subject to random drug testing * Employee must maintain current certifications * A security clearance may be required: secret, top secret or special sensitive * Disclosure of Political Appointments * Mobility - you may be required to relocate during or after completion of your training * You will be required to serve a one year probationary period * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for Federal employment * Grade Point Average - 2.95 or higher out of a possible 4.0 * Student Loan Repayment may be authorized * Direct Deposit: All federal employees are required to have direct deposit * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics. 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Knowledge of mathematical methods, techniques and procedures to apply general scientific theories and principles of mathematics. 2. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 3. Skill in communicating factual and procedural information clearly, orally and in writing. 4. Knowledge of computer operations and standard software applications. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. If you qualify based on undergraduate education and you have not graduated prior to applying to this position, you may be offered a position contingent upon your final Grade Point Average or Class Ranking FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. 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. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. 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 and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "