Data scientist jobs in Delaware

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Indeed is the world's largest marketplace for jobs, and we have a unique dataset of jobs, resumes, applications, and outcomes. The Data Scientist I role partners closely with business partners across various functions to help execute strategic initiatives that increase revenue, drive operational scale, and improve efficiency for continuous growth. As a Data Scientist, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source packages and research publications, and creatively adapt models for solving business problems across Indeed. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field + 3+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams and using LLMs + A deep understanding of machine learning, statistical modeling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization **Salary Range Transparency** US Remote 122,000 - 178,000 USD per year Austin, Metro Area 122,000 - 178,000 USD per year New York City, Metro Area 146,000 - 212,000 USD per year Seattle, Metro Area 134,000 - 194,000 USD per year San Francisco, Metro Area 155,000 - 225,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds. Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit ********************************************** In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page (********************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** \#AIDATA Reference ID: 46201

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: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, 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 Manager, Central Product Platform Responsibilities: 1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions 2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals 3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals 4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities 5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches 6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact 7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance 8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor 9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers **Minimum Qualifications:** Minimum Qualifications: 10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience 11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams 12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers 13. Proven track record of leading high-performing analytics teams 14. Experience communicating both in low-level technical details as well as high-level strategies 15. Track-record driving product roadmap and execution 16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering **Preferred Qualifications:** Preferred Qualifications: 17. Experience supporting analytic platforms, working with cross company stakeholders, and prioritizing features based on multiple goals 18. Ideally a background in experimentation and survey research 19. Familiarity with ML and AI operationalization. Specifically measurement, goaling, and performance optimization **Public Compensation:** $206,000/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.

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

Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs Bridge scientific research and software engineering, applying expertise in both domains Collaborate with engineering teams to lead the design and delivery of GenAI products Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications Integrate GenAI solutions with enterprise platforms using API-based methods Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Align ML problem definition with business objectives Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics Ten years of experience in an individual contributor role in ML engineering Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Experience integrating GenAI solutions with enterprise platforms via standardized API patterns Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Excellent grasp of computer science fundamentals and SDLC best practices Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed *** Relocation assistance is not available for this role.

**Become a part of our caring community and help us put health first** The Actuary, Valuation is responsible for estimates of short term and long term reserves required for unpaid claim liability, active life reserves, and other actuarial items that ought to be established, appropriate margins, and premium deficiency reserves for monthly, quarterly, and annual financial statement reporting. The Actuary, Valuation works on problems of diverse scope and complexity ranging from moderate to substantial. The Actuary, Valuation partners with Finance for internal & statutory reporting. Complete asset adequacy testing in support of the Actuarial Opinions and Actuarial Memorandums for the Appointed Actuary. Handles actuarial reserves and risk control aspects of state Department of Insurance examinations, external auditors, and internal auditing of reserves and liabilities. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action. This position will report to an Associate VP in Actuarial Valuation and will have significant exposure to Humana's Appointed Actuary and Senior Leaders throughout the Finance Organization. **Use your skills to make an impact** **Required Qualifications** + Bachelor's Degree + ASA or FSA designation, Member of the American Academy of Actuaries + Meets the basic education requirements for issuing statements of actuarial opinion (SOAs) + 3 or more years of actuarial work experience + Must be passionate about contributing to an organization focused on continuously improving consumer experiences + Strong communication skills + Ability to translate technical issues for non-Actuarial audiences **Preferred Qualifications** + 5 or more years of relevant health-related actuarial work experience + 1 or more years of experience with health insurance valuation topics + Independent consulting ability + Ability to think holistically through a project Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $129,300 - $177,800 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 12-30-2025 **About us** Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************

Senior Data Scientist, Training Aircraft Readiness (4762)at SMX(View all jobs) (********************************* United States SMX is looking for a Training Aircraft Readiness Senior Data Scientist to support the Naval Undergraduate Flight Training Systems Program Office (PMA 273) at Patuxent River Naval Air Station in Lexington Park, MD. PMA-273 is responsible for managing the aircraft, simulators, and associated systems that support the U.S. Navy's undergraduate pilot training pipeline. This Program Office's purview includes the acquisition, development and maintenance of six trainer aircraft: TH-73 Thrasher, T-44 Pegasus, T-45 Goshawk, T-6 Texan II, and T-54A Marlin II. These aircraft and programs also include related simulator suites, academic materials, computer-based training integration systems and contractor logistics support. **Essential Duties & Responsibilities** + Lead advanced training aircraft readiness analysis, applying statistical modeling, predictive analytics, and readiness metrics evaluation to identify trends, assess training aircraft readiness performance, and provide actionable insights that improve mission availability. + Provide high-level subject matter expertise, analysis, and technical guidance to support project execution. **Required Skills/Experience** + Clearance Required: Secret + A Management, Technical or Scientific master's degree from an accredited college or university is required. + Allowable substitution: a Business, Management, Technical or Scientific BS or BA degree from an accredited college or university and an additional four (4) years of recent and relevant experience. + Must have at least ten (10) years of recent and relevant experience in an engineering or operations analysis position, three (3) of which must be directly related to DoD systems + Must have demonstrated experience in area of engineering expertise. + Proficiency in analyzing and extracting data from DoD aviation maintenance and logistics systems (e.g., NALDA, OOMA, DECKPLATE). + Experience working with aircraft maintenance, logistics, and readiness data to evaluate fleet performance and operational availability. + Knowledge of DoD aviation maintenance processes, readiness metrics (Full-Mission Capable (FMC) & Mission Capable (MC) rates) and reporting standards. + Ability to integrate data across multiple DoD systems to perform trend analysis, predictive maintenance forecasting, and readiness assessments. + Familiarity with DoD data governance, security, and compliance requirements, including handling of controlled unclassified information (CUI). + Experience building dashboards and readiness reports for senior leadership and program managers within defense organizations. + Expertise in applying statistical and analytical methods directly to aircraft sustainment and operational readiness problems. **Application Deadline:** 11/24/2025 \#cjpost #LI-REMOTE The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $105,200-$175,300 USD At SMX , we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

**When you join Sallie, you become a champion for all students.** Sallie's Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We're on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better. **What You'll Contribute** The Senior Principal Engineer will be responsible for shaping long-term engineering direction and serve as a key technical advisor to engineering and product leadership. **What You'll Do** + Define and evolve company-wide architectural standards. + Lead the design of systems that span multiple products or platforms, ensuring technical cohesion and scalability. + Collaborate with engineering, product, and executive leadership to align technical strategy with business objectives. + Identify long-term technical risks and opportunities. + Provide guidance across multiple technical domains and teams, driving decision-making and cross-functional coordination. + Drive execution of complex, high-risk technical initiatives with ambiguous scope or competing priorities. _The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role._ **What You Have** Minimum education, skills and experience required. + Proven ability to drive architectural decisions across multiple teams or business units. + Deep expertise in designing large-scale systems, services, or platforms. + Excellent collaboration and communication skills across technical and non-technical audiences. + Strong sense of ownership, initiative, and the ability to thrive in fast-paced, high-impact environments. Preferred education, skills, and experience. + 10+ years of hands-on software engineering experience, with a consistent record of technical leadership at scale. + Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Advanced technical degree is a plus. **The Americans with Disabilities Act** _The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function._ **Feeling your best helps you do your best:** **Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).** + Competitive base salaries + Bonus incentives + Generous PTO, Floating Holidays and 12 Federal Holidays observed + Support for financial-well-being and retirement 401k with employer match + Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more + Employer paid short-term/long-term disability and basic life insurance + Flexible hybrid working arrangements. + Paid parental leave and adoption reimbursement programs + Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) + Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives + Tuition Reimbursement and Family Scholarship Programs + Career development and training opportunities Not the right fit? Let us know you're interested in a future opportunity by clicking _Introduce Yourself_ in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! **Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here (******************************************************* **to view the U.S. Pay Transparency Policy,** **here (******************************************************************************************************************* **for federal job applicant notices, and** **here (************************************************************************************************** **to view the California Employee Privacy Notice.** **Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call ************** and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.** Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. If you'd like more information about your EEO rights as an applicant, please click **************************************************** ************************************************************************************************************************** Click ************************************************************** to view the U.S. Pay Transparency Policy.

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

**The Program:** Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us! **The Company:** Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com. **What You'll Do:** Data Scientist Intern responsibilities may include, but are not limited to: Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization. Develop models to build solutions to tackle real-world business problems Interact with product and service teams to identify questions and issues for data analysis and experiments Communicate your analysis findings to product, service, and business managers We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle. **What You'll Bring (Objective Minimum Qualifications):** To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript. Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the 2025-2026 school year. Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2026. Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages: Python, Java, R, SQL, PL/SQL. Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries: Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark Have completed coursework, projects, internships, and/or research in **two or more** of the following: Algorithms Artificial Intelligence Big Data Query Data Mining Data Modeling Machine Learning Statistical Inference/Analysis Attend a university in the US. Authorized to work in the US in 2026. No visa sponsorship available Must be enrolled in a university prior to and following internship completion What We'll Give You: **High-impact projects:** You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain. **Mentors that care:** Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement. **World-class training:** Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business. **A fun-filled summer:** Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from $19.62 to $53.00 per hour; from: $40,800 to $110,240 per annum. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC0 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Company :Highmark Inc. : This job is an ASA Certified actuary position that initiates and leads the development of actuarial studies and analyses. Gives direction to less experienced staff and will represent the department's perspectives and needs in cross disciplinary settings. The incumbent applies actuarial techniques and statistical analysis to several functions, including insurance premium and pricing development, claim trend analysis, experience studies, medical economics, profitability analysis, wellness studies, predictive modeling, or claim reserving. ESSENTIAL RESPONSIBILITIES Define & diagnose a problem. Outline data requirements for a study or analysis and devise insightful and creative solutions. Uncover the root causes of problems and reject superficial explanations. Review the appropriateness of the results in light of experience and industry knowledge. Consider alternate explanations or viewpoints before drawing conclusions. Initiate and lead the development of studies, analyses, and presentation materials needed to appropriately inform decision makers. Make appropriate recommendations to management across teams both within and outside of the actuarial department while understanding the implications and consequences to all stakeholders. Proactively ensure the internal and external consistency of all work. Use advanced industry knowledge to both perform reasonability checks as well as exceed customer expectations. Identify methods to test whether suspect results are correct. Form reasonable approximations in advance of results of an analysis and determine whether deviations are reasonable or suspect. Clarify information as needed. Take the initiative to utilize internal and external knowledge forums to gain broader industry perspective. Demonstrate subject matter expertise and as a result is sought out by others for technical input on producing accurate and efficient work. Promptly and efficiently identify outliers and anomalies in the work of others. Exhibit a thorough understanding of both corporate and division goals and values. Apply corporate, professional, and industry knowledge & insight to all tasks under incumbent's control or influence. Use expertise to envision and implement innovative new processes and propose changes to existing processes, leading to improved outcomes that better conform to corporate goals, objectives, and values. Demonstrate a capacity to shift between “big picture” and “detailed” thinking when analyzing issues and their strategic importance. Independently manage own time and resources across many projects. Demonstrate responsiveness, confidence, flexibility and ability to independently prioritize when shifting from one task to another. Comfortable in a dynamic, changing environment. Approach new challenges with anticipation and a view towards success. Identify emerging opportunities, establish project objectives, specify strategies, and organize necessary tasks. Keep manager informed. Interact with stakeholders in a manner that fosters cooperation and teamwork while conveying engagement and competence. Enhance department influence by providing responsive service and understanding customer needs. Effectively and confidently present information and provide decision support to team members and executive management. Consider alternate points of view on issues, demonstrating sensitivity to others' situations. Maintain positive, productive working relationships despite differing or conflicting situations and personalities. Correctly interpret direct and indirect messages and verbal and non-verbal behaviors and respond appropriately. Engage, motivate, and mentor less experienced staff on a regular basis in a positive manner that fosters teamwork and excellence. Listen, take direction, accept criticism and feedback and adjust behavior accordingly to improve performance. Demonstrate flexibility and proactively take on additional work as needed by the team, leading by example. Represent department's perspectives and needs in cross disciplinary settings, and negotiate appropriate compromises and solutions in a way that results in effective action. Tailor work to the needs of direct management and business partners and make recommendations that have an impact beyond their role. Assume responsibility for own actions and the consequences for actions undertaken and decisions made. Other duties as assigned or requested. EDUCATION Required Bachelor's Degree in Actuarial Science, Mathematics, Statistics or closely related field Substitutions None Preferred None EXPERIENCE Required 5 years Actuarial experience in area of specialization Preferred Pursuing FSA exams towards FSA Certification LICENSES AND CERTIFICATIONS Required Associate of the Society of Actuaries (ASA) Preferred Fellow of the Society of Actuaries (FSA) SKILLS Possesses and applies a comprehensive and in-depth knowledge of actuarial principles, concepts, practices and processes within multiple fields or disciplines Possesses significant expertise to complete complex assignments and ability to visualize, articulate, and solve complex problems while leading others to complete complex assignments Develops, designs, and tests analytic frameworks to solve complex problems using innovative approaches Assignments are broad in scope and require depth of knowledge as well as ingenuity and originality Analytical Skills Oral & Written Communication Skills Problem-Solving Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office-based Teaches / trains others regularly Frequently Travel regularly from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required Frequently Audible Speech Constantly Hear Constantly Position self or move lower on ground, under tables/desks, etc. Never Climb Never Drive Occasionally Reach Frequently Sedentary position Frequently Move Frequently Repetitive Motion Frequently Use Hands/Fingers to Handle or Feel (beyond just data entry) Frequently Vision - Distinguish Color Frequently Vision - Far, Near, Depth Perception Frequently Move, transport, transfer - up to 10 lbs (Sedentary Work) Occasionally Move, transport, transfer - up to 20 lbs (Light Work) Occasionally Move, transport, transfer - up to 50 lbs (Medium Work) Occasionally Move, transport, transfer - excess of 50lbs (Heavy Work) Never Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $78,900.00 Pay Range Maximum: $147,500.00 Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice

JobID: 210678919 JobSchedule: Full time JobShift: Day Base Pay/Salary: Jersey City,NJ $114,000.00-$170,000.00 Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities * Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources * Analyze data sets to identify quality issues and implement effective cleansing strategies * Create and document detailed data lineage, ensuring traceability between data fields and sources * Build and maintain high-quality metadata to enable data discoverability, understanding, and governance * Support data integration and migration efforts as part of the industrialization process * Ensure data quality, integrity, and compliance with governance policies within assigned domains * Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills * Three years in data management, data engineering, data scientist or related roles * Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues * Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets * Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration * Experience with data security, privacy regulations, and data-driven decision-making * Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports * Collaborative team player with experience working across business and technical stakeholders * Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities * Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills * Experience with advanced data visualization platforms * Experience in financial services or similar regulated industries * Experience with data cataloging and data discoverability platforms

**At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.** **Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale..** **Work Arrangement** **Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager. **Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. **The Role** The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used in the development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work driving positive safety change, this role is for you. The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automotive, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system. As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery of insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, as well as foundational components of the overall safety case which guides decision-making and drives engineering across the entire AV technology stack. **What You'll Do (Responsibilities)** + Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework + Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results + Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance + Assess bias estimation and subsampling strategies used by system engineering + Support Data Engineering and Software & Services (S&S) in the development of automate pipelines and tooling within the measurement and risk framework + Conduct statistical analysis to evaluate ADS driving software aggregate and sub-aggregate measures + Design and demonstrate driving context and scenario based factor inclusion in analyses + Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements + Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations + Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally **This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate** **Your Skills & Abilities (Required Qualifications)** + M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.) + 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting + Demonstrated experience applying statistical methods to physics-based (e.g. automotive) and advanced sensing systems + Expertise in statistical modeling, machine learning and/or deep learning techniques + Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods + Expertise generating insights from multiple large-scale datasets + Proficiency in SQL and Python + Experience with data visualization tools and techniques + Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders + Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems **What Will Give You a Competitive Edge** **(Preferred Qualifications)** + PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.) + Experience in safety, automotive, or robotics data science is preferred **Compensation:** + The expected base compensation for this role is $160,200- $245,400 USD Annually + Actual base compensation within the identified range will vary based on factors relevant to the position + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. Client Protection Shared Services - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Responsibilities: * Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights * Applies agile practices for project management, solution development, deployment, and maintenance * Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production * Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment * Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables * Supports the identification of potential issues and development of controls * Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics * Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology * Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks * Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts * Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business * Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance * Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics * Identifies business trends based on economic and portfolio conditions and communicates findings to senior management * Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights * Link Analysis/Graph analytics to find and mitigate densely connected fraud networks * Developing and tuning graph algorithms to maximize detection of fraud * Assist with the generation, prioritization, and investigation of fraud rings Required Qualifications: * Minimum of 4 years of experience in data and analytics * Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages * Must be proficient with SQL and one of SAS, Python, or Java * Critical problem-solving skills including selection of data and deployment of solutions * Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team * Excellent communication and influencing skills * Thrives in fast-paced and highly dynamic environment * Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions * Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) * Expertise in data analytics and technical development lifecycles including having coached junior staff Desired Qualifications: * Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) * 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas * Deep understanding of graph databases, graph algorithms, and experience developing graph schemas * Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques * Proficient with H2O or similar advanced analytical tools * Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects * Experience influencing mid to senior (executive) level leaders * Experience managing risk and issue remediation * Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile Skills: * Agile Practices * Application Development * DevOps Practices * Technical Documentation * Written Communications * Artificial Intelligence/Machine Learning * Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability * Collaboration * Consulting * Networking * Policies, Procedures, and Guidelines Management Shift: 1st shift (United States of America) Hours Per Week: 40

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

Public Consulting Group LLC (PCG) is a leading public sector solutions implementation and operations improvement firm that partners with health, education, and human services agencies to improve lives. Founded in 1986, PCG employs approximately 2,000 professionals throughout the U.S.-all committed to delivering solutions that change lives for the better. The firm is a member of a family of companies with experience in all 50 states, and clients in three Canadian provinces and Europe. PCG offers clients a multidisciplinary approach to meet challenges, pursue opportunities, and serve constituents across the public sector. To learn more, visit ***************************** . **Duties and Responsibilities** + Supports Actuarial Analysis and Financial Modeling + Develops OPEB Reports + Evaluate actuarial programs and makes recommendations for improvements. + Analyzes and interprets federal and state law and regulation. + Assesses best practices and provide technical assistance to clients. + Manages small projects, staff and tasks with limited supervision while meeting and exceeding performance expectations. + Facilitates client discussions. + Manages daily project functions and client interaction. + Support proposal writing teams for responses related to actuarial services + Prepares other written reports and materials for clients. **Required Skills** + Strong quantitative skills and able to analyze and interpret financial data. + Ability to research, analyze and interpret policy, legal briefs and regulations. + Able to work independently and consistently achieve excellent results. + Able to work effectively with all members of project teams. + Outstanding oral and written presentation skills + Demonstrated initiative and the ability to successfully identify new business opportunities and up-sell to existing customers. **Qualifications** + Bachelor degree or ten years experience required, graduate degree preferred + ASA or FSA credentials with OPEB and retiree experience + Minimum 5 years' relevant work experience. **Working Conditions** + Remote + Some travel required **The above is intended to describe the general contents and requirements of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive statement of all duties, responsibilities or skills of personnel so classified.** **PCG does not sponsor newly hired foreign national workers for work authorization, including H-1B sponsorship** . \#LI \#LI-LR1 \#LI-remote **Compensation:** Compensation for roles at Public Consulting Group varies depending on a wide array of factors including, but not limited to, the specific office location, role, skill set, and level of experience. As required by applicable law, PCG provides a reasonable range of compensation for this role. In addition, PCG provides a range of benefits for this role, including medical and dental care benefits, 401k, PTO, parental leave, bereavement leave. **As required by applicable law, PCG provides the following reasonable range of compensation for this role: $78,300-$121,800. In addition, PCG provides a range of benefits for this role, including medical and dental care benefits, 401k, PTO, parental leave, bereavement leave.** PCG does not sponsor newly hired foreign national workers for work authorization, including H-1B sponsorship. **EEO Statement:** Public Consulting Group is an Equal Opportunity Employer dedicated to celebrating diversity and intentionally creating a culture of inclusion. We believe that we work best when our employees feel empowered and accepted, and that starts by honoring each of our unique life experiences. At PCG, all aspects of employment regarding recruitment, hiring, training, promotion, compensation, benefits, transfers, layoffs, return from layoff, company-sponsored training, education, and social and recreational programs are based on merit, business needs, job requirements, and individual qualifications. We do not discriminate on the basis of race, color, religion or belief, national, social, or ethnic origin, sex, gender identity and/or expression, age, physical, mental, or sensory disability, sexual orientation, marital, civil union, or domestic partnership status, past or present military service, citizenship status, family medical history or genetic information, family or parental status, or any other status protected under federal, state, or local law. PCG will not tolerate discrimination or harassment based on any of these characteristics. PCG believes in health, equality, and prosperity for everyone so we can succeed in changing the ways the public sector, including health, education, technology and human services industries, work. Public Consulting Group is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, protected veteran status, or status as a qualified individual with a disability. VEVRAA Federal Contractor.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Position Summary** We're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. Key Responsibilities: + Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. + Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. + Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. + Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. + Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. + Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. + Design and architect data infrastructure analytical workloads. **Required Qualifications** + 5+ years of applicable work experience + Proficiency in Python, specifically with ETL pipelines. + Strong proficiency in SQL and experience in developing complex queries. + Familiarity with py Spark, DBT, or other similar frameworks. + Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). + Understanding of data warehousing concepts, dimensional modeling, and building data marts. + Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. **Preferred Qualifications** + Knowledge of data governance best practices in a cloud environment. + Experience with machine learning flows on GCP. + Experience with data design in BigQuery + Experience working with the Epic data model. + Experience working with healthcare data (Tuva or OMOP Models a plus). **Education and Experience** + College degree or certification in related fields **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 11/14/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Data EngineerRemote - United StatesJR012395 At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose. HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION At Ensono, we are evolving into a **software-first Managed Services Provider** -a place where **AI, automation, and human expertise work together** to deliver **10x productivity** for our clients. Our **Envision Operating System** is the backbone of this transformation, orchestrating operations across mainframe, distributed, and cloud environments. The **Data Engineer** plays a pivotal role in this vision. You won't just be moving data from point A to point B-you'll be **designing the pipelines and platforms that power predictive services, anomaly detection, and intelligent automation** . From ServiceNow tickets to mainframe telemetry, you'll turn raw, messy signals into **high-quality, AI/ML-ready datasets** that fuel real-time insights and proactive operations. This is not a back-office role-it's a **frontline enabler of transformation** . The work you do directly impacts uptime, cost optimization, and the ability for Ensono to move from manual, reactive support to a **zero-touch, predictive model** . We are looking for engineers who don't just architect pipelines but **get stuff done** -builders who can deliver working solutions, iterate quickly, and collaborate with data scientists, ML engineers, and ops teams to make sure models don't just run in notebooks but actually change how work gets done. If you want to be part of the team that's **rewiring managed services for the AI era** , this is your role. **What You Will Do:** + **Data Pipeline Development** - Build, optimize, and maintain ELT/ETL pipelines that move, clean, and organize data from ServiceNow, mainframe, distributed, and cloud systems. + **Integration with ServiceNow** - Develop robust data extraction, transformation, and ingestion patterns tailored for operational data (incidents, alerts, changes, requests) to make it AI/ML-ready. + **Data Infrastructure & Architecture** - Design scalable data models, storage frameworks, and integration layers in Snowflake and other modern platforms. + **Data Quality & Governance** - Implement standards, monitoring, and validation frameworks to ensure clean, trustworthy data across all pipelines. + **Collaboration with AI/ML Teams** - Partner with Data Scientists, ML Engineers, and MLOps to deliver production-grade datasets powering predictive models, anomaly detection, and intelligent runbooks. + **Automation & Optimization** - Identify opportunities to streamline data workflows, reduce manual intervention, and lower costs while improving reliability. + **Cross-functional Enablement** - Work with Finance, Procurement, Cloud Ops, Mainframe Ops, and Service Operations teams to ensure data is aligned to high-value business outcomes. **We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.** **Required Skills & Experience** + **Strong SQL & Data Modeling** + Expertise in **ELT/ETL pipeline development** and orchestration. + **Python** (must-have) plus at least one of Java, Scala, or C++. + Hands-on experience with **Snowflake** or equivalent cloud data warehouse platforms. + Proven experience **extracting, transforming, and operationalizing data from ServiceNow and common monitoring platforms / other enterprise systems (Workday, Concur, etc)** . + Familiarity with observability tooling and distributed data systems. + Knowledge of enterprise data governance, compliance, and lineage. + 4+ years of experience preferred. + Bonus: experience working directly with AI/ML feature pipelines. **Mindset & Values** + **Get Stuff Done** - You're biased toward execution and results, not endless design cycles. + **Business Impact Driven** - You build pipelines that _move the needle_ on uptime, cost reduction, and predictive operations. + **Collaborative Partner** - You thrive in a cross-functional environment, sitting at the intersection of Ops, AI/ML, and business stakeholders. + **Continuous Learner** - Always looking for ways to apply new tools and technologies to accelerate delivery. **Success Looks Like** + Reliable pipelines that pull ServiceNow data into Snowflake for **real-time incident prediction** . + Faster transition of AI/ML proof of concepts into production pipelines. + Demonstrated cost savings through **automated workload optimization** and **capacity forecasting** . + Enabling predictive services to scale seamlessly across mainframe, distributed, and cloud environments. **Why Ensono?** Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things. We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location. + Unlimited Paid Day Off (PDO) Plan + Two robust health plan options through Blue Cross Blue Shield + 401(k) with a generous company match + Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts + Depending on location, ability to take advantage of fitness centers + Wellness program + Flexible work schedule As of the date of this posting, a good faith estimate of the current pay scale for this role is $114,000 to $148,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program. Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. Pay transparency nondiscrimination statement/posting OFCCP's pay transparency policy can be found on OFCCP's website. If you need accommodation at any point during the application or interview process, please let your recruiter know or email ****************************** . JR012395