Data scientist jobs in Bel Air, MD - 287 jobs

We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms.Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs.* Lead modeling activities on various insurance liabilities, fixed-income assets and derivatives in actuarial systems, including AXIS.* Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.* Collaborate with key stakeholders from business line valuation, ALM, risk management, financial/risk reporting, etc.* Embrace new technologies to improve workflows.* Design and build external or embedded controls to mitigate operating risks in workflows.* Apply risk management techniques and procedures, including the company's mandated risk methodologies.* Gather and analyze market data, calculate hedge program or portfolio statistics and develop/use models to simulate financial reporting processes.* Serve as a company-wide expert in multiple specialties, including portfolio yield projections.* Act as a subject matter expert for colleagues with less experience.* Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.* Design and lead multiple projects, with accountability for ongoing activities and objectives.* Review the work of others, providing direction and insight on research solutions to problems presented.* Develop staffing plans, recruit qualified candidates, and develop internal staff resources.* Lead multiple advanced research projects.* Interpret internal or external issues and recommend solutions/best practices.* Solve complex problems; take a broad perspective to identify solutions.* Build efficient models and processes* Apply judgment to modeling choices in a defensible manner.* Assess the materiality of various modeling and data choices.* FSA or equivalent professional designation along with Bachelor's Degree in Actuarial Science, Mathematics, Statistics, Economics or related field, and 8 years of relevant experience. In lieu of Bachelor's, will accept Master's in a listed discipline and 6 years or relevant experience. In lieu of FSA will accept ASA or equivalent professional designation and 14 years of relevant experience.* Demonstrates high quality leadership, judgment, organization and prioritization skills.* Exhibits effective management skills to motivate and develop a staff.* Effectively communicates, both verbally and in writing, advanced mathematical and analytical concepts to various audiences.* Works well under pressure and within time constraints to effectively accomplish individual and team objectives.* Experience with asset liability management practices* Comprehensive understanding of investment and finance concepts to creatively solve complex analytical problems* Leadership capabilities to direct teams and projects* Advanced degree* Insurance or asset/derivatives modeling experience* AXIS software experience- The Salary for this position generally ranges between $157,000 - $175,000 annually. ***Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including***qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.* Pension Plan* 401k Match* Employee Stock Purchase Plan* Tuition Reimbursement* Disability Insurance* Medical Insurance* Dental Insurance* Vision Insurance* Employee Discounts* Career Training & Development Opportunities #J-18808-Ljbffr

The primary role of the **Data Scientist** is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. **Position Responsibilities** + Build and assess analytic models tailored to mission-specific needs + Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods + Develop reproducible workflows and ensure data integrity + Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. + Organize, clean, and curate large datasets for analysis + Present complex technical findings in a way that is accessible to technical and non-technical stakeholders **Experience** + Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. + Minimum 3+ years' relevant work experience. + Experience with software development working with Python in a Unix environment. + Experience using the Unix command line. + Practical knowledge in Python Machine Learning and Data Visualization + Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning + Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. + An active TS/SCI with polygraph **Additional Requirements** + Experience using the Atlassian Tool Suite. + Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS + Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) **Physical Demands** + Ability to work in an office environment (Constant) + Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) **Salary Range: $107,000 to $212,000** The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. **Clearance Level** Top Secret with Poly **ITAR Requirement:** _T_ _his position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements._ **Benefits** : AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************* . We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. **Who We Are** Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. **What We Do** Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. _We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status._ **ITAR** U.S. Citizenship required **About AV:** **AV isn't for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best.** We don't just build defense technology-we redefine what's possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve. Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian-but we're not building history, we're building what's next. **If you're ready to build technology that matters-with speed, scale, and purpose-there's no better place to do it than AV.** **Careers at AeroVironment (*****************************************

Fort Meade, MD EnDepth Solutions has been invited to be involved in some very exciting and technically sophisticated work for one of our most prestigious agencies! In this position you will turn complex data sets into useful information to solve global challenges. You will be working on a large new contract with a focus on the development of Analytics, Knowledge Management artifacts, Information Sharing tools, Data Transformation, and Malware Analysis! Qualifications : Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical) Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Through analytic modeling, statistical analysis, programming (coding), and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to key intelligence community data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Work with current project teams to support ongoing intelligence focused projects. Develop/code/program software to support ongoing project work with minimal supervision. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Be able to ask questions and communicate issues and problems clearly to peers and management. Effectively communicate complex technical information to non-technical audiences. Can work with others easily and effectively. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting intelligence community collection, processing, storage and analytic capabilities and limitations. Bachelor's degree and 3 years of relevant experience. MUST have a TS/SCI Clearance w/ Poly Relevant Experience: Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms. Have experience with statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models) College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Understand and have experience in data management (e.g. data cleaning and transformation) including, but not limited to, data mining, data modeling and assessment. Experience with artificial intelligence/machine learning including both software development (coding) and operating AI/ML systems and tools. Have experience with at least one of the following computer languages (in priority order): Python, Java, R, C, C++ or any other one that would be relevant. Experience with more than one language is preferred. Experience with designing/developing/using/evaluating mathematic models, methods, and/or techniques (e.g., algorithm development) is a plus. Ability to understand and study issues and solve problems. Degree Specialization: - MUST be in one of the following: Mathematics and/or Applied Mathematics Statistics and/or Applied Statistics Machine Learning Data Science Operations Research Computer Science Computer Engineering Physical/Hard Sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). Salary Range: $130,000.00 - 170,000.00 USD / year Salary Description: The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Company Description: Founded in 2010, EnDepth Solutions sets the standard for Cyber Security services and innovation within the DoD and Intelligence Community. EnDepth's core competencies are Security Engineering, Certification & Accreditation, and System Security Testing. Our professional staff bring high-level technology skills and industry knowledge and work closely with clients to design and implement a security solution closely tied to enterprise objectives. EnDepth Solutions is a Service Disabled Veteran Owned Small Business (SDVOSB) with numerous prime and sub contracts with customers in the Intelligence Community. Benefits Summary: We are proud to offer our employees a selection of high-quality benefits, including: Competitive Salaries Health Insurance - a choice of Gold level plans from United Healthcare Employer-funded Health Savings Account (HSA) Dental, Vision & Life Insurance Short-term and Long Term Disability plans - 100% Employer paid Safe-Harbor 401(k) Retirement Savings Plan 10 Holidays and competitive Paid Time Off (PTO) and Comp Time Professional Development and Educational Reimbursement Employee Referral Bonus Company Sponsored Events About EnDepth: Founded in 2010, EnDepth is a Service-Disabled Veteran-Owned Small Business (SDVOSB). Headquartered in Annapolis Junction, MD, EnDepth provides Engineering Services, Cyberspace Operations & Support, Data & Signals Analysis and HCI Services to the Government and Commercial Sectors. EnDepth was a recipient of the 2024 Best Places to Work by the Baltimore Business Journal! Don't see a job opening that's the perfect fit? Consider applying our General Position ***************************************************************** to join our talent pool for consideration for future opportunities. Have a friend who may be a good fit? Email ***************************** to refer them through our referral program and you could receive a one-time referral bonus up to $10,000.00! EnDepth is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about EnDepth's equal employment opportunity policy to *********************** .

* Employ some combination (2 or more) of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets * Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge * Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data * Effectively communicate complex technical information to non-technical audiences * Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: * US Citizens Only * Active TS/SCI Clearance and Polygraph required * Information Assurance Certification may be required * Minimum of ten (10) years of relevant experience and a Bachelor's degree or twelve (12) years of relevant experience and an Associate's degree required. * Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science * A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university * Relevant experience must be two of more of the following: * Designing/implementing machine learning * Data science * Advanced analytical algorithms * Programming (skill in at least one high-level language (e.g., Python)) * Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) * Data management (e.g., data cleaning and transformation) * Data mining * Data modeling and assessment * Artificial intelligence * Software engineering Compensation Range: $68,146.36 - $149,921.99

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

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

Welcome to Interclypse, where innovation meets passion. Every team member is a vital piece of our success story. We are not just a company, but a dynamic community driven by the shared vision of redefining excellence. At Interclypse, you will find more than a career - you will discover a vibrant ecosystem where your talents are celebrated, your ideas are embraced, and your potential is achieved. Every Interclypse team member can benefit based on their efforts and collectively benefit through the overall company's success. Join our mission to positively impact society, community, industry, and individuals by always “Doing What is Right”. Together, let's pioneer a future where greatness is achieved and exceeded. To actualize this vision, Interclypse employs a growth mindset culture that empowers employees to rise in their careers by providing them with tools, mentorship, and a supportive environment to ensure long-term success. Interclypse is supporting several Maryland state agencies in the modernization and sustainment of critical systems. This exciting opportunity provides candidates with the ability to contribute to the long-term health and success of the state while continuing to learn and grow professionally within Interclypse's growth mindset culture. All positions are required to be onsite at various locations in Maryland. Make a difference. Join our team by applying today! Responsibilities: Responsible for developing techniques or analytics to transform raw data into meaningful information using statistical analysis, machine learning, and visualization software. The individual is responsible for the following tasks: A. Collect, process, and analyze structured and unstructured data applying data mining, data modeling, natural language processing, and machine learning techniques. B. Develop predictive models and algorithms to solve problems. C. Design data pipelines and workflow to automate data processing. D. Collaboration with multiple teams to understand requirements and objectives. E. Develop data visualizations, dashboards, and reports. Requirements Required Qualifications Master's Degree or PH.D. from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field Three (3) years of experience in data science Experience as a data scientist or similar role with a strong understanding of statistical analysis and machine learning techniques Proficient in SQL, Python, R, or related programming and experience with machine learning libraries and frameworks Possess an understanding of statistical concepts and methodologies, such as regression analysis, clustering, and classification Why You Will Love Interclypse You want to work for an adaptive company that moves at your speed. You want a healthy work-life balance. You want to work with a passionate team on an important mission. You want to work for an organization that values and appreciates you. You want to work for an organization that invests in your growth. You want the option for career mentorship, both in technology and in business. You value a company with a strong culture of growth and support. Employee Impact Program Every employee has the opportunity to be rewarded for the contributions they can make toward the long-term health of the company, our customers, and employees. This program in combination with our comprehensive benefits, time off and leave programs allow you to design a career and compensation program that enables unmatched flexibility while ensuring company, customer, and employee health and prosperity. Benefits Personal Time Off (PTO) for vacations, holidays, illnesses Parental Leave Bereavement Leave Jury Duty Leave Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum Financial education and planning support Health Insurance (Medical, Dental, Vision) Health Savings Account (HSA) Medical and Dependent Care Flexible Spending Accounts (FSA) Employee Assistance Program Life Insurance Accidental Death and Dismemberment Insurance Disability: Short-term and long-term disability coverage Educational support Company apparel Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more. Access to group rates for voluntary benefits such as Accident, Hospital Indemnity, Critical Illness, Pet Insurance, and Identity Theft Protection EOE AA M/F/Vet/Disability: Interclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate's experience and education/training, internal peer equity, and market and business consideration.

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas. Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers. Description We are seeking a Data Scientist that will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Clearance A current Top-Secret/SCI with polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position. Experience Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience. Required skills: Five (5) years of experience analyzing datasets and developing analytics Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders Benefits Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $206,000 - $223,000. Wealth Benefits: Above Market Hourly Pay 11% Roth or Traditional 401k with Immediate Vesting and Deposit Spot Bonuses for Assisting with Business Development and Company Growth Professional Development Bonuses for Certificates and Degrees Health Benefits: Company subsidized Medical Coverage 100% Company Paid Vision and Dental Coverage 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance Monthly Wellness Reimbursement Happiness Benefits: Paid Time Off with Flexible Work Schedules and Birthday Off Amazon Prime Membership and Monthly Internet Reimbursement Technology and Productivity Allowance for Equipment and Supplies Morale Building and Company Events to Celebrate our Successes and Build our Community Onboarding and Annual Swag Company Paid Professional Development and Training At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire. Not seeing the right position right now? Reach out to us, and we'll notify you as new contracts and opportunities become available! Please send referrals and inquiries to: ********************** To learn more about our company visit our webpage or LinkedIn.

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We are currently recruiting for a Senior Data Scientist with a current TS/SCI w/ poly to support a critical program located in Annapolis Junction, MD. Relevant experience must be two or more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python)) Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence, and/or Software engineering Required experience: Bachelor's degree and 15 years of relevant experience. Associate's degree and 17 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Degree must be in: Mathematics, Applied Mathematics, Statistics/Applied Statistics, Machine Learning, Data Science, Operations Research or Computer Science. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families. At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources. Target salary for this position is between $225k-$250k, depending on experience. Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.

A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: You'll likely start your day at a customer location near our Red Alpha offices, checking to see if there are any important items that have just come up. If not, you'll move on to improving a dashboard or other data product that you're responsible for, or perhaps produce a weekly output the customer is expecting. You'll be using R or Python a lot, but also Git, Mongo, some commercial software and several other usual suspects. Once a week you'll attend a team meeting (with 4 others) to prioritize things, and you'll have a lot of interaction with the team otherwise, typically several times per day. You'll need your sense of humor and need to be willing to leave your ego at the door. What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. All of our data scientists need the following skills: Proficiency with a scripting language such as R or Python Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list. A B.S. Degree in Data Science, Mathematics, Computer Science or related field. For entry-level data scientists, 0-3 years of experience on Data Science projects. For mid-level data scientists, 3-6 years of experience on Data Science projects. For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams. A TS/SCI with Polygraph security clearance. These are important skills to have, but not necessarily mandatory: Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host but you do like people and enjoy solving problems jointly with your colleagues. Experience with Java, C, or other compiled languages Comprehensive knowledge of Saturday Night Live sketches (just kidding) Experience with SQL/NoSQL, Spark, Hadoop Familiarity with Javascript and Scripting Familiarity with Docker, GitLab, and React The total package: Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are: Entry-level: $95,000 - $135,000 Mid-level: $110,000 - $155,000 Senior-level: $135,000 - $235,000 Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

What We're Looking For As a Data Scientist, you will design, develop, and implement machine learning, data visualization, statistical analysis, and other data science techniques to enable insider threat detection. You will solve specific problems using tailored analytics, to include machine learning to detect anomalous and suspicious patterns of behavior within a cloud environment. Qualifications What You'll Need * U.S Citizenship * DoD Secret Clearance * 10+ years' experience * 5+ years' experience in Machine Learning * Experience in supervised and unsupervised learning. * Ability to perform feature engineering to identify and predict hidden patterns in data. * Familiar with risk and threat analytics. * Ability to perform tasks under limited supervision. * Bachelor's degree or related work experience. What Will Set You Apart * Experience in Splunk analytic development. Our Culture Great People, Exceptional Benefits Great people are the foundation of any great company. To attract and retain great people, CyberPoint offers fulfilling work that we like to balance with the rest of life. We accomplish this by offering outstanding benefits that allow each of our employees to live and work well. To learn more, ******************************************* CyberPoint is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic corrected by law. As a federal contractor, CyberPoint has established affirmative action programs to ensure non-discrimination and affirmative action in CyberPoint's policies and practices for qualified women, minorities, protected veterans, and individuals with disabilities. The narrative portion of CyberPoint's affirmative action plans are available for inspection at our offices during normal business hours. Employees and applicants interested in inspecting these plans should contact Human Resources by phone ************ or by email at ******************** for assistance. If you are interested in applying for employment with CyberPoint and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department by email at ******************** or by calling ************.

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Position: 1 Job Title: Analytics - Principal Consultant 100% Travel Duration : Full Time Permanent Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Must Have Skill/Competency: •Domain - Retail and/or CPG domain Knowledge •Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement •Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting •Data Understanding of Sales, Inventory, Store, Product and Promotion Data •Ability to translate business requirement to analytical model •Communicate directly with business users •Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview Nice to have Skill/Competency: •Hadoop, Spark, Python •Tableau/Spotfire/Qlikview •Nielsen/IRI/Market Research Data understanding Job responsibilities: •Understand business requirement from client and translate it to appropriate Analytics use cases •Work in a team environment to deliver analytics solution to client •Define new business metrics as required and build measurement systems as needed •Enjoy designing, develop and deploy state of the art, data-driven predictive models •Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, •Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title: Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Qualifications Preferred • MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics • 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms • Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software • Knowledge of Perl, Python or Ruby; experience with Java, C or C++ • Experience with Apache Spark and Scala • Knowledge of Clojure or Julia for statistical learning and optimization algorithms • Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc. • Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities • Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data • Define new business metrics as required and build measurement systems as needed • Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems. • Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities • The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionDescription: We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker. Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase through build/deploy. This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML Architect AWS Snowflake python Strong Deployment skills Recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. Our vision for digital, data analytics and AI: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. A Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you're a fit? Submit your resume and we will contact you via email to let you know!

Responsibilities Data science at the National Security Agency (NSA) is a multi-disciplinary field that uses elements of mathematics, statistics, computer science, and application-specific knowledge to gather, make, and communicate principled conclusions from data. Data Science is a broad field and a team effort, spanning all the expertise needed to derive value from data. It encompasses AI Engineering, Data Engineering, ML Ops Engineering, and Human Perception and Cognition Engineering in addition to the traditional applications of data science. Data science is present in every aspect of the mission. NSA Data Scientists tackle challenging real-world problems leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies. We are looking for critical thinkers, problem solvers, and motivated individuals who are enthusiastic about data and believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will employ your mathematical science, computer science, and quantitative analysis skills to develop solutions to complex data problems and take full advantage of NSA's capabilities to tackle the highest priority foreign intelligence and cybersecurity challenges. Responsibilities may include: * Exploring data analysis and model-fitting to reveal data features of interest * Using the machine-learned predictive modeling * Constructing usable data sets from multiple sources to meet customer needs * Identifying and analyzing anomalous data (including metadata) * Developing conceptual design and models to address mission requirements * Developing qualitative and quantitative methods for characterizing datasets in various states * Performing analytic modeling, scripting, and/or programming * Working collaboratively and iteratively throughout the data-science lifecycle * Designing and developing analytics and techniques for analysis * Analyzing data using mathematical and statistical methods * Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership * Creating interpretable visualizations Job Summary Newly hired Data Scientists will be assigned to a mission office by aligning their data science skills with mission needs. Due to the challenging and evolving nature of NSA data science problems, Data Scientists are expected to continue broadening and deepening their expertise throughout their career. NSA data science is collaborative and you are expected to work with NSA experts in data science, related technical domains, and specialized subject areas. You will have opportunities to participate in internal technical roundtables and to attend technical conferences with experts from industry and academia. There is potential for some candidates to be enrolled in the three-year Data Science Development Program (DSDP), a rotational program to strengthen their basic skills. Please attach a copy of your resume and all transcripts (unofficial are fine) as part of your application when given the opportunity to do so to speed application processing. Qualifications The qualifications listed are the minimum acceptable to be considered for the position. Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position. Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application. Unofficial transcripts are fine at this stage. SENIOR Entry is with an Associate's degree plus 8 years of relevant experience, or a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience. Note that different degree fields have different requirements as described below. Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate. Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence). Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence). Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership. EXPERT Entry is with an Associate's degree plus 11 years of relevant experience, or a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of relevant experience. Note that different degree fields have different requirements as described below. Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate. Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence). Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence). Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership. Competencies The ideal candidate has a desire for continual learning along with excellent analytical, problem-solving, communication (oral and written), and interpersonal skills who is: * Accountable * Proactive * Detail oriented * Able to solve complex problems * Proficient with critical thinking and reasoning to make analytic determinations * Effective at working in a collaborative team environment * Able to bridge the gap with both technical and non-technical audiences * Able to provide technical leadership in formal or informal roles Knowledge, skills, and relevant experience in programming, formal or informal leadership, and one or more of the following is required: * Designing and implementing machine learning * Data mining * Statistical analysis * Statistical consulting * Artificial Intelligence development * Computational science * Software engineering * Technical writing * Data visualization * Data engineering Pay, Benefits, & Work Schedule Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position. Salary Range: $132,751 - $197,200 (Senior, Expert) Salary range varies by location, work level, and relevant experience to the position. Training will be provided based on the selectee's needs and experience. Benefits: NSA offers a comprehensive benefits package. Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible). DCIPS Trial Period: If selected for this position, you will be required to serve a two-year DCIPS trial period, unless you are a veterans' preference-eligible employee, in which case you are required to serve a one-year trial period. This trial period runs concurrently with your commitment to the position, if applicable. Before finalizing your appointment at the conclusion of your trial period, NSA will determine whether your continued employment advances the public interest. This decision will be based on factors such as your performance and conduct; the Agency's needs and interests; whether your continued employment would advance the Agency's organizational goals; and whether your continued employment would advance the efficiency of the Federal service. Upon completion of your trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. If you do not receive certification for continued employment, you should receive written notice prior to the end of your trial period that your employment will be terminated and the effective date of such termination. How to apply The following four narrative questions provide an opportunity for you to highlight your dedication to public service for the hiring manager and agency leadership (or designee(s)). While your responses are not required and will not be scored, we encourage you to thoughtfully address each question. Please provide a response of 200 words or less to each question. You will be asked to certify that you are using your own words and did not use a consultant or artificial intelligence (AI) such as a large language model (LLM) like ChatGPT or Copilot. (Please attach in application) 1. How has your commitment to the Constitution and the founding principles of the United States inspired you to pursue this role within the Federal government? Provide a concrete example from professional, academic, or personal experience. 2. In this role, how would you use your skills and experience to improve government efficiency and effectiveness? Provide specific examples where you improved processes, reduced costs, or improved outcomes. 3. How would you help advance the President's Executive Orders and policy priorities in this role? Identify one or two relevant Executive Orders or policy initiatives that are significant to you, and explain how you would help implement them if hired. 4. How has a strong work ethic contributed to your professional, academic or personal achievements? Provide one or two specific examples, and explain how those qualities would enable you to serve effectively in this position. Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications. Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from noreply@intelligencecareers.gov. For job vacancies that include stated testing requirements, also include the following: @uwe.nsa.gov, @nsa.gov, and @pearson.com U.S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. Reasonable accommodations may be provided to applicants with disabilities during the application and hiring process where appropriate. DCIPS Disclaimer VETERANS AND TRANSITIONING SERVICE MEMBERS Thank you for your service! The National Security Agency (NSA) is part of the Defense Civilian Intelligence Personnel System (DCIPS). All positions at NSA are in the Excepted Service under Title 10, United States Codes (U.S.C.), Section 1601 appointment authority. Veterans' Preference In accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, "DoD Civilian Personnel Management System: Defense Civilian Intelligence Personnel System Employment and Placement," NSA applies veterans' preference, as defined by Section 2108 of Title 5, U.S.C., to eligible candidates. If you are claiming veterans' preference, you are required to provide acceptable documentation of your preference eligibility upon application. Acceptable documentation includes: * DD-214: "Certificate of Release or Discharge from Active Duty," which shows dates of service and discharge under honorable conditions (Copy 4); OR * Certification of Service: A written document on letterhead from the appropriate branch of the armed forces that certifies the service member is expected to be discharged or released from active duty service in the armed forces under honorable conditions not later than 120 days after the date the certification is signed. The certification should include the military service dates, including the expected discharge or release date; AND * Standard Form 15 (SF-15) Application for 10-point Veteran Preference (******************************************** If you are claiming a service-connected disability of 30 percent or more, the documentation you provide must specifically demonstrate this level of disability; AND * VA Letter of Disability (for 10pt and Sole Survivorship rating) You may obtain a letter from the Department of Veterans Affairs reflecting your level of disability for preference eligibility by visiting a VA Regional Office, contacting a VA call center, or online (******************************* Failure to provide sufficient documentation of veterans' preference eligibility may preclude NSA from identifying you as a preference eligible candidate during the hiring selection process.

Must Have Technical/Functional Skills Primary: Artificial intelligence, ML, LLM Secondary: Data science, Python, NLP, Agile tools Experience: 10+ Roles & Responsibilities Experience with NLP, deep learning, or time series analysis. Experience deploying models to production environments. Knowledge of regulatory requirements and compliance in banking and finance. Familiarity with MLOps practices and tools. Experience with Agile methodology and tools (JIRA or Rally) Proven experience as a Data Scientist in Banking or a similar domain Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering. Strong knowledge of statistics, machine learning, and data mining techniques. Experience with data visualization tools (e.g., Tableau, Power BI). Experience with Big Data Platforms (Hadoop). Familiarity with SQL and working with relational databases. Excellent problem-solving, communication, and collaboration skills. Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Analyze large financial datasets to extract insights and support business decisions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations through reports, dashboards, and presentations. Work with data engineers to ensure data quality and pipeline reliability. Salary Range- $120,000-$135,000 a year

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **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:** 02/15/2026 *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 _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 (***************************************************************************************************************************

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, 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. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **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:** 11/05/2025 *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. _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 (***************************************************************************************************************************