Data scientist jobs in Hamilton, OH

Data Engineer III About the Role We're looking for a Data Engineer III to play a key role in a large-scale data migration initiative within Client's commercial lending, underwriting, and reporting areas. This is a hands-on engineering role that blends technical depth with business analysis, focused on transforming legacy data systems into modern, scalable pipelines. What You'll Do Analyze legacy SQL, DataStage, and SAS code to extract business logic and identify key data dependencies. Document current data usage and evaluate the downstream impact of migrations. Design, build, and maintain data pipelines and management systems to support modernization goals. Collaborate with business and technology teams to translate requirements into technical solutions. Improve data quality, reliability, and performance across multiple environments. Develop backend solutions using Python, Java, or J2EE, and integrate with tools like DataStage and dbt. What You Bring 5+ years of experience with relational and non-relational databases (SQL, Snowflake, DB2, MongoDB). Strong background in legacy system analysis (SQL, DataStage, SAS). Experience with Python or Java for backend development. Proven ability to build and maintain ETL pipelines and automate data processes. Exposure to AWS, Azure, or GCP. Excellent communication and stakeholder engagement skills. Financial domain experience-especially commercial lending or regulatory reporting-is a big plus. Familiarity with Agile methodologies preferred.

The team is seeking a Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions. Requirements • 5+ years of experience as a Data Engineer • Hands-on experience with Azure Databricks, Spark, and Python • Experience with Delta Live Tables (DLT) or Databricks SQL • Strong SQL and database background • Experience with Azure Functions, messaging services, or orchestration tools • Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog) • Experience monitoring and optimizing Databricks clusters or workflows • Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms • Experience with Terraform for cloud infrastructure provisioning • Experience with GitHub and GitHub Actions for version control and CI/CD automation • Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior) • Familiarity with SDLC and modern engineering practices • Ability to balance multiple priorities, work independently, and stay organized

Do you enjoy solving billion-dollar data science problems across trillions of data points? Are you passionate about working at the cutting edge of interdisciplinary boundaries, where computer science meets hard science? If you like turning untidy data into nonobvious insights and surprising business leaders with the transformative power of Artificial Intelligence (AI), we want you on our team at P&G. As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You will be expected to constructively research, design, and customize algorithms tailored to various problems and data types. Utilizing your expertise in Operations Research (including optimization and simulation) and machine learning models (such as tree models, deep learning, and reinforcement learning), you will directly contribute to the development of scalable Data Science algorithms and collaborate with Data and Software Engineering teams to productionize these solutions. Your technical knowledge will empower you to apply exploratory data analysis, feature engineering, and model building on massive datasets, delivering accurate and impactful insights. Additionally, you will mentor others as a technical coach and become a recognized expert in one or more Data Science techniques, quantifying the improvements in business outcomes resulting from your work. Key Responsibilities: + Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms. + Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms. + Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building. + Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights. + Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies. Job Qualifications Required Qualifications: + Education: Pursuing or has graduated with a Master's degree in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience. + Technical Skills: Proficient in programming languages such as Python and familiar with data science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas. + Communication: Strong written and verbal communication skills, with the ability to influence others to take action. Preferred Qualifications: + Analytic Methodologies: Experience applying analytic methodologies such as Machine Learning, Optimization, and Simulation to real-world problems. + Continuous Learning: A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques. + Data Handling: Experience with large datasets and cloud computing platforms such as GCP or Azure. + DevOps Familiarity: Familiarity with DevOps environments, including tools like Git and CI/CD practices. Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits . Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process. We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE (******************************************************* . Procter & Gamble participates in e-verify as required by law. Qualified individuals will not be disadvantaged based on being unemployed. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary Range $85,000.00 - $115,000.00 / year

Title: Data Scientist I Reports To: Director of Engineering Department: Product & Engineering Salary Exempt About DMG: Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country. We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of “Uninterrupted Peace of Mind.” DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits. Job Summary: We are currently building out a Marketplace Health and Pricing team and as part of it building a Data Science practice, with the goal of better leveraging advanced analytic solutions. We believe analytics will be a game-changer in the industries we operate in, and we are seeking a Data Scientist I to help build and scale our data science and software engineering capabilities. At the outset, you will work on scaled and unique matching and pricing opportunities. We are a fast-paced, entrepreneurial team Ð you'll work closely with our data and engineering teams to develop and support analytical solutions that guide key business decisions. You will gain real-world experience in data wrangling, statistical analysis, and model development, contributing directly to insights that impact operations and customer experience. What You'll Do: Assist in designing, developing, and validating data models and visualizations to support various business initiatives. Write production level code for analytics products. Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment. Leverage a diverse set of large and unstructured data to derive meaningful insights and information sets. Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization. Clearly and concisely synthesize and communicate findings to make thoughtful recommendations by combining business savvy with analytic rigor to technical and non-technical audiences. Maintain awareness of emerging data science techniques, technologies, and potential business applications for AI/ML. Other duties as assigned by management. What You Need: Bachelor's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. PhD is preferred but not required. 0-3 years of experience in data analysis, data science, or a related field. Relevant data science or software engineering experience developing and deploying production models and writing production code for analytics products. Experience with code version control platforms like GitHub, GitLab, or Azure DevOps. Experience working with data science and analytics teams to develop complex analytics products that have been successfully delivered to customers. Experience with large-scale data wrangling using databases or Spark. Knowledge of software engineering best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, and testing. Experience working with docker containers. Experience working with APIs. Experience working with a UI or web framework. Ability to manage the stress of a fast-paced environment. Ability to meet the in-person requirements of the team and/or business needs. What You'll Get: At DMG, you'll be part of an amazing team that encourages learning, growth, and advancement. Our company has an entrepreneurial spirit that rewards self-starters and encourages employees to take charge of their own careers. Some of our many benefits include: Health, dental and vision coverage on day 1. Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting. Paid Primary and Secondary Caregiver leave. Employee Assistance Program to assist with everyday challenges. Paid time off to volunteer. Divisions Maintenance Group is an equal opportunity employer.

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

Develop and deploy machine learning models to support clinical and operational decision-making. Work with large datasets to extract insights and support predictive analytics for human performance and health. Requirements Mandatory Qualifications: • Bachelor's degree in a quantitative field (e.g., Computer Science, Applied Math). • 3+ years of experience in predictive analytics. • Proficiency in Python, NumPy, Pandas, Matplotlib, and Scikit-learn. • Ability to explain and implement ML algorithms from scratch. • Signed NDA and HIPAA training required upon start. Desired Qualifications: • Experience with dashboard development and pretrained language models. • Experience with dimensionality reduction and deep learning libraries (TensorFlow, PyTorch). • Familiarity with human biology and performance. Key Tasks and Responsibilities: • Develop and tune unsupervised tree-based clustering models. • Implement decision trees, k-NN, and optimized list sorting algorithms. • Generate and minimize distance matrices using vectorized code. • Collaborate with software engineers and maintain HIPAA compliance.

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

Job DescriptionDescription: Develop and deploy machine learning models to support clinical and operational decision-making. Work with large datasets to extract insights and support predictive analytics for human performance and health. Requirements: Mandatory Qualifications: • Bachelor's degree in a quantitative field (e.g., Computer Science, Applied Math). • 3+ years of experience in predictive analytics. • Proficiency in Python, NumPy, Pandas, Matplotlib, and Scikit-learn. • Ability to explain and implement ML algorithms from scratch. • Signed NDA and HIPAA training required upon start. Desired Qualifications: • Experience with dashboard development and pretrained language models. • Experience with dimensionality reduction and deep learning libraries (TensorFlow, PyTorch). • Familiarity with human biology and performance. Key Tasks and Responsibilities: • Develop and tune unsupervised tree-based clustering models. • Implement decision trees, k-NN, and optimized list sorting algorithms. • Generate and minimize distance matrices using vectorized code. • Collaborate with software engineers and maintain HIPAA compliance.

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

This internship is an opportunity to gain experience in analytics and automation on Ameritas' reinsurance team. The intern will gain practical experience with analysis, programing, testing, and implementation of metrics and data visualization tools. Position Location: This is a hybrid role (Cincinnati, OH) working partially in-office and partially from home. Position Start Date: This internship will begin in May 2026. What you do: Gain practical experience with analysis, programing, testing, and implementation of metrics and data visualization tools. This internship will provide exposure to the following functions and duties: Business Systems Administration: Assist with identifying solutions to gather and present data Support partners in their ability to leverage metric and metric solutions to measure and improve performance as well as drive decision making Support simple to complex metric gathering Operations Analysis: Support the development and continuous improvement of operational business metrics that help define and measure the performance of all processes associated with Reinsurance Operations. Assess and improve operational processes in the Reinsurance Operations space. Investigating defects or errors in the technology. What you bring: Must be enrolled in a college program at least half-time as defined by your institution for the entire duration of the internship studying computer science, data analytics or related field. Ability to commit to a 12-month internship working full-time during the summer and part-time during the school year. Full-time hours: 30-40 hours per week Part-time hours: 15-20 hours per week Experience in Excel, Python, SQL, and/or Power Query/Power Pivot is desired. Strong analytical, problem solving, and troubleshooting skills Ability to work independently and within a team to build relationships and interact effectively Positive, self-motivated individual with a high level of enthusiasm and willingness to take on new challenges, responsibilities, and assignments. Self-starter with a real drive for impact and a naturally curious demeanor Excellent verbal and written communications skills What we offer: At Ameritas, our mission is Fulfilling Life. We do that in many ways, but especially by helping people invest in themselves by offering trusted financial products and advice. Because we believe everyone should be happy, healthy, and financially secure, we work hard to provide trusted financial products and valued guidance, including individual life and disability insurance, employee benefits, retirement planning, investments, and wealth management services. Our company motto is “Fulfilling Life” and we take that job seriously, with a heavy commitment to volunteering and community support, employee well-being, and providing quality products and services that help our customers create a brighter future. Being a mutual-based organization, the return on our investment goes back into the company, to benefit our members/customers. We're committed to professional development, opportunity, inclusion, and diversity. Team building and collaboration are also priorities. An Equal Opportunity Employer Ameritas has a reputation as a company that cares, and because everyone should feel safe bringing their authentic, whole self to work, we're committed to an inclusive culture and diverse workplace, enriched by our individual differences. We are an Equal Opportunity/Affirmative Action Employer that hires based on qualifications, positive attitude, and exemplary work ethic, regardless of sex, race, color, national origin, religion, age, disability, veteran status, genetic information, marital status, sexual orientation, gender identity or any other characteristic protected by law.

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51°! __________________________________________________________ Senior Data Scientist - Kroger Precision Marketing (P3155) Summary Kroger Precision Marketing (KPM), powered by 84.51°, is the retail media arm of Kroger, helping brands build stronger connections with customers through data-driven insights and media activation . By combining Kroger's loyalty data with the power of 84.51° data science and strategic media expertise, we provide brands with meaningful insights that fuel personalization and lead to impactful activations within the advertising ecosystem. Our comprehensive analytics bring customer stories and journeys to life-delivering measurable business impact for our brand partners while enhancing the customer experience. As a Senior Data Scientist, you will join the Data Science and AI sub-team within the KPM Portfolio Expansion organization. In this role, you'll research and develop innovative data science and AI capabilities that address strategic use cases across KPM's commercial portfolio. You will collaborate with fellow data scientists, product managers, and AI enablement teams to prototype new methodologies, explore emerging AI technologies, and build scalable solutions that deliver measurable business value. Success in this role requires a research-oriented mindset, technical creativity, strong hands-on skills with tools such as Python, PySpark, SQL, Power BI, and modern AI frameworks, and the ability to thrive in a cross-functional team environment by driving collaboration across data science, product, and business stakeholders. Responsibilities Contribute to prototyping solutions that enable rapid go/no-go decisions under uncertainty, with guidance from senior team members. Partner with lead data scientists and business stakeholders to explore ambiguous, high-risk, high-reward opportunities. Collaborate closely with cross-functional teams-including product, engineering, and AI enablement-throughout discovery, prototyping, and scaling. Demonstrate curiosity and adaptability when exploring new AI domains, while working alongside experienced peers to shape problem statements and solution approaches. Support project execution by managing tasks effectively, to ensure timely, high-quality delivery. Partner with software engineering and product teams to automate and scale deliverables. Interpret results and translate analysis into actionable recommendations and client-ready stories. Contribute to building scalable, high-quality code and pipelines, with mentorship on best practices for automation and optimization. Identify gaps and opportunities in existing science, measurement, and data solutions-bringing forward ideas for team discussion. Continuously challenge and improve 84.51°'s analytical capabilities and products. Guide and mentor junior data scientists in driving efficiencies, automation, and standardization. Share knowledge, contribute to best practices, and build efficiencies as part of a collaborative data science community. Qualifications, Skills & Experience Bachelor's degree in mathematics, statistics, computer science, economics, or related discipline. Proficiency with our technology stack: Azure, Python, Spark, GitHub, Power BI, Snowflake. Experience with GenAI/AgenticAI tools and technologies, including prompt engineering and intent extraction using modern LLM APIs or frameworks (e.g., OpenAI function calling, LangChain). 2+ years of experience extracting insights from large databases, translating them into actionable solutions, and presenting to stakeholders. 2+ years of experience applying advanced algorithms, programming, or technologies in analytics solution development. Demonstrated success in solving vague, unstructured problems and delivering clear, business-facing solutions. Strong technical fluency and ability to translate complex concepts for non-technical audiences. Skilled in data visualization and storytelling with data. Ability to balance technical rigor with business practicality to drive efficient value. Strong business acumen and passion for commercial success. High independence and ability to make time-sensitive decisions in ambiguous settings. Excellent time and project management skills; able to juggle multiple priorities. Strong emotional intelligence, communication, and presentation skills. Natural curiosity, openness to change, and willingness to experiment-even if it means failing and learning. What We're Looking For We are seeking someone who is: Self-motivated and thrives in ambiguous, evolving environments. Research-minded, with curiosity to explore emerging AI technologies Strong technical expertise in Python, PySpark, SQL, and AI/LLM frameworks (e.g., LangChain, OpenAI APIs) Ability to connect technical solutions to business impact 2+ years of experience in advanced analytics, modeling, or AI solution development #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range$97,000-$166,750 USD

**Hours:** Monday - Friday **Travel:** This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. **Position Overview:** Provides the highest level of analytical support to the Cost of Care and/or Provider Contracting organizations. Focuses efforts on lowering claims costs, improving the quality of care, and increasing member and provider network satisfaction. Provides expert advice, analytic and consultative support to Medical Directors and management on cost of care issues. Supports large scale initiatives with high dollar cost savings opportunities. Partners with provider contractors to develop contracting strategy and supports all aspects of the contract negotiation process. Works with multiple provider types including the most complex, high profile providers. Supports a full range of contract arrangements and pricing mechanisms including the most complex contract terms. Works on the most complex, large scale enterprise wide initiatives and acts as project lead. Acts as a strategic partner to management. **How You Will Make an Impact:** + Uses analytic tools to: track both health risks and compliance, as well as supporting the contract negotiation process + Types of analyses include performing sophisticated retrospective data analytics; developing the most complex new models and modifies existing models to create predictive impact decision making tools; performing healthcare cost analysis to identify strategies to control costs; projecting cost increases in medical services by using analytic techniques for PMPM trending via multiple variable analysis; preparing complex pre-negotiation analyses to support development of defensible pricing strategies; performing modeling to compare various contract scenarios based on member utilization patterns and 'what if'; measuring and evaluating the cost impact of various negotiation; researching the financial profitability/stability and competitive environment of providers to determine impact of proposed rates; and projects different cost of savings targets based upon various analytics + Identifies cost of care savings opportunities by analyzing practice patterns in relation to office visits, referral practices, and specialty care procedures and recommends policy changes and claim's system changes to pursue cost savings + Reviews results post-implementation to ensure projected cost savings are realized and recommends modifications as applicable + Recommends standardized practices to optimize cost of care + Educates provider contractors on contracting analytics from a financial impact perspective + May recommend alternative contract language and may go on-site to provider premises during contract negotiations + Researches provider's financial profitability/stability and competitive environment to determine impact of proposed rates + Provides on-going analytic and consultative support during complex and the most intense provider negotiations + Educates provider contractors on contracting analytics from a financial impact perspective + May recommend alternative contract language + Acts as a source of direction, training and guidance for less experienced staff + Looks for continuous quality improvements and finds better ways to accomplish end results + Works side by side with their program manager **Required Qualifications:** + Requires BA/BS degree in Mathematics, Statistics or related field and a minimum of 7 years experience in broad-based analytical, managed care payor or provider environment as well as in depth experience in statistical analysis and modeling; or any combination of education and experience which would provide an equivalent background. **Preferred Qualifications:** + Experience providing leadership in evaluating and analyzing complex initiatives strongly preferred + Government Business Experience strongly preferred + HEDIS/STARS experience preferred + Ability to Develop/code in SQL preferred + SAS/Python Experience preferred + Data Analysis experience is a must + Value Based care experience nice to have Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Hours: Monday - Friday Travel: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Position Overview: Provides the highest level of analytical support to the Cost of Care and/or Provider Contracting organizations. Focuses efforts on lowering claims costs, improving the quality of care, and increasing member and provider network satisfaction. Provides expert advice, analytic and consultative support to Medical Directors and management on cost of care issues. Supports large scale initiatives with high dollar cost savings opportunities. Partners with provider contractors to develop contracting strategy and supports all aspects of the contract negotiation process. Works with multiple provider types including the most complex, high profile providers. Supports a full range of contract arrangements and pricing mechanisms including the most complex contract terms. Works on the most complex, large scale enterprise wide initiatives and acts as project lead. Acts as a strategic partner to management. How You Will Make an Impact: Uses analytic tools to: track both health risks and compliance, as well as supporting the contract negotiation process Types of analyses include performing sophisticated retrospective data analytics; developing the most complex new models and modifies existing models to create predictive impact decision making tools; performing healthcare cost analysis to identify strategies to control costs; projecting cost increases in medical services by using analytic techniques for PMPM trending via multiple variable analysis; preparing complex pre-negotiation analyses to support development of defensible pricing strategies; performing modeling to compare various contract scenarios based on member utilization patterns and 'what if'; measuring and evaluating the cost impact of various negotiation; researching the financial profitability/stability and competitive environment of providers to determine impact of proposed rates; and projects different cost of savings targets based upon various analytics Identifies cost of care savings opportunities by analyzing practice patterns in relation to office visits, referral practices, and specialty care procedures and recommends policy changes and claim's system changes to pursue cost savings Reviews results post-implementation to ensure projected cost savings are realized and recommends modifications as applicable Recommends standardized practices to optimize cost of care Educates provider contractors on contracting analytics from a financial impact perspective May recommend alternative contract language and may go on-site to provider premises during contract negotiations Researches provider's financial profitability/stability and competitive environment to determine impact of proposed rates Provides on-going analytic and consultative support during complex and the most intense provider negotiations Educates provider contractors on contracting analytics from a financial impact perspective May recommend alternative contract language Acts as a source of direction, training and guidance for less experienced staff Looks for continuous quality improvements and finds better ways to accomplish end results Works side by side with their program manager Required Qualifications: Requires BA/BS degree in Mathematics, Statistics or related field and a minimum of 7 years experience in broad-based analytical, managed care payor or provider environment as well as in depth experience in statistical analysis and modeling; or any combination of education and experience which would provide an equivalent background. Preferred Qualifications: Experience providing leadership in evaluating and analyzing complex initiatives strongly preferred Government Business Experience strongly preferred HEDIS/STARS experience preferred Ability to Develop/code in SQL preferred SAS/Python Experience preferred Data Analysis experience is a must Value Based care experience nice to have Job Level: Non-Management Exempt Workshift: 1st Shift (United States of America) Job Family: RDA > Health Economics & Cost of Care Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact ******************************************** for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Make an Impact on the Future of Our Annuity Products We're looking for an experienced actuary who enjoys both hands-on analytical work and shaping product strategy. In this role, you'll lead pricing and inforce management projects for our individual annuity products--especially fixed indexed annuities (FIAs). Your first major focus will be designing and pricing GLWB riders on FIAs. From there, you'll have the opportunity to influence product innovation, improve modeling processes, and collaborate across the company to strengthen our overall product suite. If you like having real ownership, enjoy partnering with smart colleagues across multiple functions, and want to help build the next generation of annuity products, this role is a great fit. What Will You Work On Lead pricing and design for FIAs, including GLWB riders. Support product filings and regulatory submissions. Prepare pricing results, documentation, and presentations for senior leaders. Help drive new product development--potentially including a RILA product. Assess the impact of reinsurance or M&A activity. Perform inforce management and analyze product experience trends. Enhance modeling frameworks and refine rate-setting processes. Monitor industry trends. Build a strong understanding of our current and past product offerings. Leadership & Collaboration Work closely with partners in IT, investments, hedging, marketing, distribution, capital management, valuation, risk, compliance, and legal. Mentor junior actuaries and help build deeper expertise in annuity pricing. Drive projects forward with independence and confidence. Option to manage 1--2 direct reports while still spending most of your time as a hands-on individual contributor.

84.51° Data Scientist - Intern Program This program requires you to be in the office 40 hours a week; there are no remote options. Program Duration: May 26, 2026 - July 31, 2026 This is a strict start and end date; must be available for the entire program duration - we will not accommodate dates outside of this. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). SUMMARY: As data scientists, we are a connected community of practice that enables the business teams with which we collaborate to understand the Kroger customer and act on their behalf. We bring an integrated, 360° view of our customer, allowing us to anticipate their needs, enable better business decisions, and make peoples' lives easier. As a result, we grow loyalty to Kroger and CPG brands. The Data Scientist Internship is a 10-week, full-time paid intern position that will allow you to gain work experience and learn about 84.51°- what we do and how we do it. This exciting program gives you the opportunity to participate in a learning experience where you will work collaboratively with 84.51° employees to complete a challenging live project that adds value to our business. It also gives you the opportunity to build strong bonds with all the other Interns as well as network with our 84.51° community. INTERN PROGRAM: The Intern Program duration is strictly the dates outlined at the top (interns cannot start or end early or late). Data Science roles are open in our Cincinnati, OH Headquarters office. Interns are matched with a manager and mentor, both Data Scientists, to support them during the program. Interns should expect to work in the office Monday-Friday, 40 hours per week, typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager upon starting. Interns should not have conflicts such as classes or other employment during the 84.51° workday. 84.51° is divided into two models made up of cross-functional teams: the Kroger model and the Commercial model. These models are named for their core stakeholders and priorities, and data scientists play a critical part in the success of these cross-functional teams. All Data Science interns will be given a project and be assigned to one of our specific Data Science groups aligned to one of our business teams. As a Data Science Intern, you are assigned to and embedded within one of our business teams. You will then leverage our vast amount of first party data to develop new methodologies and/or insights - allowing us to understand customers better than anyone else. Your internship project will enable our clients to have the right strategy and drive better execution for areas such as customer loyalty, pricing, promotions, assortment, new product innovation, digital media, local marketing, and direct-to-consumer communications. Upon completion of the 10-week internship, if we believe you met objectives while demonstrating our 84.51° values, you will be offered a position to join us full-time as part of 84.51°'s Development Program upon graduation (or offer another Internship if you have another summer before graduating). WHAT DATA SCIENCE MEANS TO US: All Data Scientists will join a community of learners, problem solvers, and collaborators. We hire Data Scientists with a variety of skillsets to align with the diverse body of analytical work across the business. A candidate's data science aptitudes will vary based on background and prior experience, bringing a unique set of skills to the table. Data Scientists at 84.51° are not “one size fits all.” There are common skills all Data Scientists possess which we teach and reenforce such as Python/PySpark, but we also value skills that run the gamut from storytelling to data munging to machine learning & artificial intelligence. Our definition of Data Science is robust, and you may have broad responsibilities ranging from building data pipelines, surfacing actionable insights for clients through applied analytics, and machine learning model creation and deployment. Some Data Science roles may incorporate all these skillsets while others may be more focused on insight generation or data curation instead of machine learning and statistical analysis. We value candidates who have a desire to build a breadth of experience across the 84.51° and Kroger businesses. As you develop your strengths over time, and hone your interests, various career paths become available to grow your career at 84.51°. QUALIFICATIONS, SKILLS, AND EXPERIENCE WE VALUE: Working towards a bachelor's degree or higher from a four-year accredited university in Economics, Statistics, Mathematics, Computer Science, Market Research, Business Analytics, Information Systems, Data Science, or another heavily quantitative program. We also consider applicants from other degree fields given prior internship or project experience related to data science and analytics. Graduating May/June 2028 or sooner - must be current student at time of internship An interest in and experience writing efficient and scalable coding (Python, R, SQL, Spark, etc.). Our primary languages are PySpark and Python, though we value any coding experience you may have background in when applying Familiarity with version control and/or process improvement and automation (GitHub) Experience with data visualization, storytelling, and communicating with diverse business audiences Familiarity with theory and application of multiple machine learning techniques (logistic regression, clustering, etc.) and statistical measurement capabilities (Test/Control Methodologies) Strong business and commercial acumen with the ability to translate technical concepts for non-technical audiences and link analysis to business impact Natural curiosity that welcomes and embraces change and willingness to try new things and to fail Exposure or experience with generative AI technologies, with the interest & ability to leverage these tools to enhance data-driven insights and develop innovative solutions Interest in working on teams with cross-functional partners such as consultants, engineering, and product owners #LI-DNI

Job Description The Engineer is responsible for staying on track with key milestones in Customer Platform / Customer Data Acceleration, work will be on the new Customer Platform Analytics system in Databricks. The Engineer has overall responsibility in the technical design process. Leads and participates in the application technical design process and completes estimates and work plans for design, development, implementation, and rollout tasks. The Engineer also communicates with the appropriate teams to ensure that assignments are delivered with the highest of quality and in accordance to standards. The Engineer strives to continuously improve the software delivery processes and practices. Role model and demonstrate the companys core values of respect, honesty, integrity, diversity, inclusion and safety of others. Current tools and technologies include: Databricks and Netezza Key Responsibilities Lead and participate in the design and implementation of large and/or architecturally significant applications. Champion company standards and best practices. Work to continuously improve software delivery processes and practices. Build partnerships across the application, business and infrastructure teams. Setting up new customer data platforms from Netezza to Databricks Complete estimates and work plans independently as appropriate for design, development, implementation and rollout tasks. Communicate with the appropriate teams to ensure that assignments are managed appropriately and that completed assignments are of the highest quality. Support and maintain applications utilizing required tools and technologies. May direct the day-to-day work activities of other team members. Must be able to perform the essential functions of this position with or without reasonable accommodation. Work quickly with the team to implement new platform. Be onsite with development team when necessary. Behaviors/Skills: Puts the Customer First - Anticipates customer needs, champions for the customer, acts with customers in mind, exceeds customers expectations, gains customers trust and respect. Communicates effectively and candidly - Communicates clearly and directly, approachable, relates well to others, engages people and helps them understand change, provides and seeks feedback, articulates clearly, actively listens. Achieves results through teamwork Is open to diverse ideas, works inclusively and collaboratively, holds self and others accountable, involves others to accomplish individual and team goals Note to Vendors Length of Contract 9 months Top skills Databricks, Netezza Soft Skills Needed collaborating well with others, working in a team dynamic Project person will be supporting - staying on track with key milestones in Customer Platform / Customer Data Acceleration, Work will be on the new Customer Platform Analytics system in Databricks that will replace Netezza Team details ie. size, dynamics, locations most of the team is located in Cincinnati, working onsite at the BTD Work Location (in office, hybrid, remote) Onsite at BTD when necessary, approximately 2-3 days a week Is travel required - No Max Rate if applicable best market rate Required Working Hours 8-5 est Interview process and when will it start Starting with one interview, process may change Prescreening Details standard questions. Scores will carry over. When do you want this person to start Looking to hire quickly, the team is looking to move fast.

* Maintain robust data pipelines for ingesting and processing data from various sources, including SFTP servers. * Implement and manage automated SFTP data transfers, ensuring data security, integrity, and timely delivery. * Configure and troubleshoot SFTP connections, including handling authentication, key management, and directory structures. * Develop and maintain scripts or tools for automating SFTP-related tasks, such as file monitoring, error handling, and data validation. * Collaborate with external teams and vendors to establish and maintain secure SFTP connections for data exchange. * Ensure compliance with data security and governance policies related to SFTP transfers. * Monitor and optimize SFTP performance, addressing any bottlenecks or issues. * Document SFTP integration processes, configurations, and best practices. * Responsible for providing monthly SOC controls. * Experience with Solimar software. * Responsible for period software updates and patching. * Manage open incidents. * Responsible for after-hours and weekends on-call duties * Minimum (3-5) years related work experience * Experience with Microsoft Software and associated server tools. * Experience with GoAnywhere managed file transfer (MFT) solution. * Experience with WinSCP * Experience with Azure Cloud * Proven experience in data engineering, with a strong emphasis on data ingestion and pipeline development. * Demonstrated expertise in working with SFTP for data transfer and integration. * Proficiency in scripting languages (e.g., Python, Shell) for automating SFTP tasks. * Familiarity with various SFTP clients, servers, and related security protocols. * Understanding of data security best practices, including encryption and access control for SFTP. * Experience with cloud platforms (e.g., AWS, Azure, GCP) and their SFTP integration capabilities is a plus. * Strong problem-solving and troubleshooting skills related to data transfer and integration issues. Salary Range- $80,000-$85,000 a year #LI-SP3 #LI-VX1

Role: Data Engineer III Contract Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used. Must Have Skills Data Engineering Excellent communication skills SQL Strategic Thinking Nice To Have DataStage DBT Financial Crimes Experience Snowflake Primary Responsibilities: Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project's goals. Install/update disaster recovery procedures. Recommend different ways to constantly improve data reliability and quality. Qualifications: Technical Degree or related work experience Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.) Experience programming and/or architecting a back end language (Java, J2EE, etc)

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51°! __________________________________________________________ SENIOR DATA SCIENTIST (P1580) CINCINNATI, OHIO OR CHICAGO, ILLINOIS SUMMARY: We are a community of data scientists that act as the voice of the customer - they share their story with us each and every day. Through simple, comprehensive, purposeful analytics, we fearlessly bring these customer stories and journeys to life. Our 360° customer view allows us to anticipate customer needs, thus enabling our clients to connect with their customers in meaningful, relevant ways. We expect all data scientists to be hands on with respects to the analysis of a retailer database, using the full suite of 84.51° technical tools - including Python, SQL, Excel, and other internal tools - to create timely, relevant, and actionable insights. The Loyalty Strategy & Rewards (LSR) team is accountable for Kroger's current loyalty program and defining evolution to the future loyalty program. The LSR data science team supports this work by providing measurements and insights that equip the business to connect with members, drive valuable behavior change, and grow emotional loyalty with Kroger. RESPONSIBILITIES: Working with business partners to support Kroger's Loyalty Program, inclusive of Free Tier (Kroger Plus, Fuel Points, and Kroger Plus 2.0) and Boost Paid Tier. Generating actionable insights and data to drive business decisions, including measurement of paid tier and free tier loyalty initiatives. Effectively managing projects, tasks and stakeholders to ensure that projects are delivered on time, within budget and to brief specification while ensuring minimal downtime and maximum utilization. Partnering with 84.51° Product & Engineering, as well as KTD partners. Quality Assurance of own code and that of team members to ensure the highest quality work is being delivered to our clients. Identifying opportunities for standardization & automation of existing solutions and processes to enable 84.51° to realize the maximum potential from our teams and free up capacity for innovation. Challenging and improving 84.51° analytical capabilities/products. Working closely with key internal stakeholders to ensure sound knowledge of client objectives and customer insight, to subsequently design best-in-class solutions. QUALIFICATIONS, SKILLS, AND EXPERIENCE: Bachelor's or Master's degree in mathematics, statistics, analytics, data science or related discipline. 2+ years of experience applying data science, statistical learning, or AI to solve complex business problems. 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions, and presenting findings and recommendations to clients or stakeholders. Data visualization and BI skills + ability to present technical solutions to non-technical audience. Experience partnering with consulting teams to prioritize, scope and deliver analytical solutions. Strong interpersonal and communication skills - including excellent verbal, written, presentation and consultation skills. Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary. Excellent attention to detail, organizational skills and ability to work in a collaborative environment. Strong analytical and problem-solving skills paired with business acumen and interest in grocery loyalty. Natural curiosity that welcomes and embraces change and willingness to try new things and to fail. #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range$97,000-$166,750 USD