Senior data scientist jobs in Indianapolis, IN

A client of ours in the Life Sciences space in Indianapolis is looking to expand their team by bringing on a lead Data Engineer. This role is C-H and is requiring onsite availability 2-3 days a week in Indianapolis, IN. The ideal candidate will have hands-on experience building scalable data pipelines, working within Databricks, and implementing modern data architecture patterns-particularly the Medallion Data Model. You will collaborate closely with data analysts, data scientists, and business stakeholders to ensure high-quality, reliable, and accessible data across the organization. Key Responsibilities Design, build, and maintain scalable ETL/ELT data pipelines using Databricks and related technologies. Implement and optimize data architectures aligned with the Medallion Data Model (Bronze/Silver/Gold). Develop and manage data workflows for ingestion, transformation, and integration from multiple sources. Ensure data quality, reliability, and governance across all stages of the data lifecycle. Optimize data processing performance and cost-efficiency within the Databricks environment. Collaborate with cross-functional teams to support analytics, reporting, and advanced data use cases. Write clear technical documentation and follow best practices for code quality and version control. Required Skills & Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience). Strong hands-on experience with Databricks (Delta Lake, notebooks, clusters, jobs). Proficient in building ETL/ELT pipelines using Python, SQL, and Spark. Deep understanding of the Medallion Data Architecture and modern data modeling practices. Experience working with cloud platforms (Azure, AWS, or GCP). Familiarity with CI/CD workflows and infrastructure-as-code is a plus. Strong problem-solving, debugging, and analytical skills. Preferred Qualifications Experience with Delta Live Tables, Unity Catalog, or MLflow. Knowledge of data warehousing concepts and distributed systems. Exposure to workflow orchestration tools (e.g., Airflow, ADF, Prefect).

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

**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** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.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. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **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 Computer Science, Mathematics, Statistics + 7+ 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 engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + 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 + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 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** 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 opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** 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 Careers 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** 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:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46205

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. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + 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. \#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 (**************************************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **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.

Navient Solutions LLC Navient (Nasdaq: NAVI) helps students and families confidently manage the cost of higher education. We create long-term value for customers and investors through responsible lending, flexible refinancing, trusted servicing oversight, and decades of portfolio management expertise. Our employees thrive in a culture of belonging, where they are supported and proud to deliver meaningful outcomes. The Senior Data Scientist will focus on loan pricing and plays a critical role in shaping pricing strategies that drive growth, profitability, and credit quality. This position leads analytical initiatives that influence Net Interest Income (NII), loan volume, and customer segmentation, while partnering closely with Finance, Risk, Product, and Marketing teams. Combining technical expertise with strategic insight, the role focuses on building scalable pricing analytics, developing predictive models, and delivering actionable insights to guide pricing decisions, product design, and marketing strategies. Areas of Responsibility: Pricing Analytics & Reporting + Build and maintain reporting and dashboards that track pricing performance and its impact to Net Interest Income, loan profitability, and volume. + Partner with Finance, Product, and Risk to ensure alignment between pricing, credit quality, funding costs, and volume targets. + Support weekly and monthly pricing reviews by providing analysis of trends, channel performance, and competitive positioning. + Build and automate recurring pricing analytics in SQL and Python to ensure accuracy, scalability, and consistency. Pricing Optimization and Strategy Development + Design and execute experiments and analyses to optimize pricing structure across customer segments, product structures, loan terms, and credit tiers. + Develop predictive models that describe and quantify the impact of pricing adjustments and promotional pricing strategies on applicant conversion, portfolio yield, and credit quality across product segments. + Develop predictive models or frameworks that recommend optimal pricing and elasticity assumptions across key segments. + Collaborate with Product and Marketing to ensure pricing supports business goals for growth and customer lifetime economic value. + Continuously benchmark pricing strategy against market trends and competitor movements to identify improvement opportunities. Customer Insights, Data Analysis, & Segmentation + Analyze customer behavior, credit performance, and lifecycle data to uncover pricing and product optimization opportunities. + Identify underserved or high-potential segments and develop data-driven recommendations to improve competitiveness and margin. + Partner with cross-functional teams (Risk, Finance, Marketing, Product) to translate analytical insights into business intelligence and strategic initiatives. + Communicate findings clearly to technical and non-technical audiences through dashboards, memos, and presentations. Forecast Modeling + Build models that project key metrics to inform business decisions and simulate economic and financial outcomes. + Apply advanced statistical, econometric, or machine learning techniques to stress-test pricing strategies. + Deliver scenario-based insights to inform strategic pricing decisions, margin planning, and growth projections. + Ensure model transparency and documentation to maintain consistency, accuracy, and regulatory alignment. MINIMUM REQUIREMENTS + Bachelor's Degree- Computer Science, Data Science, Statistics or related fields of study + 5+ years of experience in data analytics, data science, or quantitative modeling, preferably within financial services, student and consumer lending, or fintech. + Strong proficiency in SQL and Python for data extraction, transformation, and analysis. + Experience working with large datasets, building dashboards, and automating analytical workflows. + Solid understanding of financial metrics such as Net Interest Income, yield, and credit risk-adjusted return. PREFERRED QUALIFICATIONS + Experience with pricing analytics, yield optimization, or profitability modeling strongly preferred. + Ph D or Masters degree-Machine Learning #LI-REMOTE IMPORTANT NOTICES: All offers of employment are contingent on standard background checks. Navient and certain of its affiliated companies are federal, state and/or local government contractors. Should this position support a Federal Government contract, now or in the future, the successful candidate will be subject to a background check conducted by the U.S. Government to determine eligibility and suitability for federal contract employment for public trust or sensitive positions. Positions that support state and/or local contracts also may require additional background checks to determine eligibility and suitability. EOE Race/Ethnicity/Sex/Disability/Protected Vet/Sexual Orientation/Gender Identity. Navient Corporation and its subsidiaries are not sponsored by or agencies of the United States of America. Navient is a drug free workplace. Navient (Nasdaq: NAVI) Delivers Technology-Enabled Financing and Support Our mission is to enhance the financial success of our clients by delivering innovative solutions and insights with compassion and personalized service. We leverage our decades of experience and performance, and our data-driven culture, to deliver exceptional results for our customers. Learn more at navient.com. To view the Navient Benefit Brochure click here (************************************************************************************************* Applicants can learn more about their rights by viewing the federal "Know Your Rights" and pay transparency posters click here (*********************************************************************************************** . Equal Opportunity Employer Race/Ethnicity / Sex /Disability/Protected Veterans/Sexual Orientation/Gender Identity N avient participates in E-Verify. To View the E-Verify notice, click here (******************************************************************************************** . 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 c ontact us at the number or email provided below: Navient ************** Talent_***********************

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

Cognizant is one of the world's leading professional services companies, we help our clients modernize technology, reinvent processes and transform experiences, so they can stay ahead in our constantly evolving world. Cognizant is looking to expand our team and your skills are needed. Are you interested? If so, please apply in order to be considered. We look forward to reviewing your application! The Data Scientist creates a shared understanding of business performance to drive data-driven decisions and accountability across business channels. **Main Responsibilities:** Enables Proactive Insights: Surfaces forward-looking analytics using advanced data modeling and engineering techniques. - Establishes COE Strategy: Develops MSS Data Science COE strategies, best practices, and scalable frameworks. - Optimizes Tools & Processes: Streamlines DS workflows, prioritizes initiatives, and enables cross-LOB alignment and scaling. - Leverages Technical Expertise: Utilizes PySpark/SQL, Fabric Engineering, and Lakehouse architecture for data model development. - Strengthens the Data Ecosystem: Troubleshoots to ensure performance, reliability, and accessibility. - PySpark/SQL - Fabric Engineer & Lakehouse Design - Data model development - Data ecosystem troubleshooting & Solutioning **Hourly Rate and Other Compensation:** The annual salary for this position is between $100,000-114,400 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer:** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **LA County (only):** Qualified applicants with arrest and/or conviction records will be considered for employment. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your Role: As a Data Scientist at Elanco, you will be a key driver of innovation and efficiency, using advanced analytics to solve complex challenges across our entire value chain. Reporting to the Global Analytics & Governance team, you will partner with stakeholders in R&D, Manufacturing, and Commercial to uncover insights, build predictive models, and create data-driven solutions that directly impact animal health and business outcomes. This role is for a curious and creative problem-solver who is passionate about turning data into tangible value. This includes four strategic priorities: Pipeline Acceleration: Optimize the search and approval of high impact medicines with a focus on speed, cost and precision. Manufacturing Excellence: Improve the efficiency, quality and consistency of core manufacturing processes, specifically execution and equipment effectiveness. Sales Effectiveness: Simplify the process to find, trust and consume relevant customer insights that drive sales growth and improved engagement. Productivity: Expand operating margin through efficiency by systematically reducing our operating expenses across the company, improving profitability. Your Responsibilities: End-to-End Model Development: Partner to design, develop, and validate statistical and machine learning models to address key business questions, from initial data exploration to final analysis. Analytical Thought Leader: Lead by example and inspire others, analyzing large, complex datasets to extract meaningful insights and solve business problems. This includes elements of Operations Research, using data to optimize decisions and processes Cross-Functional Problem Solving: Collaborate directly with business units to translate their challenges into data science frameworks. This could include: R&D: Accelerating drug discovery, target identification, clinical trial analysis, and drug repurposing. Manufacturing: Optimizing supply chain logistics and improving production yields through predictive quality control and maintenance. Commercial: Enhancing sales forecasting, pricing and promotions optimization, personalizing marketing campaigns, understanding customer behaviour, and surfacing data insights via large language models. Generate Actionable Insights: Go beyond model building to interpret results, synthesize findings, and communicate actionable recommendations to stakeholders at all levels. Data Storytelling: Use data visualization and clear communication to present complex analytical findings in a compelling and understandable narrative. Collaborate on Deployment: Partner with Data, AI and ML Engineers to ensure that your models are successfully integrated into business processes and applications. Drive Innovation: Continuously research and apply new methodologies in machine learning, statistics, and AI to keep Elanco at the forefront of data science. Champion a Data-Driven Culture: Promote a data-driven culture within Elanco by educating and mentoring colleagues on data science principles and best practices. What You Need to Succeed (Minimum Qualifications): Education: A Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Operations Research, or a related discipline. Required Experience: 12+ years experience in Data Science or relevant work. Programming Proficiency: Strong programming skills in Python or R, with expertise in data manipulation and machine learning libraries. Statistical Rigor: A deep understanding of statistical principles and experimental design, including hypothesis testing, regression, and classification. Machine Learning Experience: Proven experience applying a range of machine learning techniques (e.g., gradient boosting, clustering, NLP, time-series forecasting) to real-world problems. Data Visualization and Communication: Expertise in using visualization tools to create compelling stories and the ability to explain complex topics to a non-technical audience. What Will Give You the Competitive Edge (Preferred Qualifications): Business Acumen: A strong ability to grasp business challenges quickly and a passion for connecting data-driven insights to strategic goals. Experience in pharma, manufacturing, or commercial analytics is a major plus. Industry Experience: A deep understanding of life science, covering the business model, regulatory/compliance requirements, risks and rewards. An ability to identify and execute against opportunities within data science that directly support life science outcomes. Database Skills: Proficiency in SQL for querying and extracting data from relational databases. Cloud Environment Familiarity: Experience working with Public Cloud, specifically Microsoft Azure and Google Cloud Platform (GCP) and their associated data and analytics services is highly desirable. Additional Information: Location: Global Headquarters- Indianapolis, IN (Hybrid environment) Travel: Minimal Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco Benefits and Perks: We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include: Multiple relocation packages Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO) 8-week parental leave 9 Employee Resource Groups Annual bonus offering Flexible work arrangements Up to 6% 401K matching Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

Job Description . The Biostatistician will play a critical role in designing, analyzing, and interpreting clinical trial data to support drug development and regulatory submissions. This position collaborates with clinical, data management, and regulatory teams to ensure statistical rigor in trial design, data analysis, and reporting. The ideal candidate brings strong analytical skills, regulatory knowledge, and proficiency with statistical programming tools. Key Responsibilities: Collaborate with clinical and regulatory teams to design statistically sound clinical trials (e.g., sample size calculation, randomization methods). Develop and review statistical analysis plans (SAPs) in compliance with regulatory guidelines. Perform statistical analyses using SAS, R, or other statistical software on clinical trial datasets. Interpret results and present findings in clinical study reports, regulatory submissions, and scientific publications. Provide statistical support during protocol development, including endpoints and methodology. Ensure statistical deliverables meet internal quality standards and regulatory requirements (e.g., FDA, EMA, ICH). Review case report forms (CRFs) and data validation rules for accuracy and consistency with statistical needs. Collaborate with Data Management and Clinical Operations to ensure data integrity and resolve data discrepancies. Stay up to date on industry best practices, methodologies, and relevant regulatory guidance. Minimum Qualifications: Master's or Ph.D. in Biostatistics, Statistics, Mathematics, or a related quantitative field. Minimum of 3 years (for MS) or 1 year (for PhD) of relevant experience in the pharmaceutical, biotechnology, or CRO industry. Proficient in statistical programming languages such as SAS and/or R. In-depth knowledge of ICH-GCP, CDISC standards (SDTM, ADaM), and regulatory guidance documents. Strong understanding of clinical trial design, methodology, and regulatory requirements. Excellent communication skills with the ability to interpret and present statistical findings clearly. Strong attention to detail and a commitment to data quality and accuracy. In addition to a dynamic and collaborative work environment, we offer a comprehensive benefits package to support our employees' well-being. Our benefits include paid holidays, Paid Time Off (PTO) policy, and medical insurance to ensure our team members have the flexibility and coverage they need. We believe in fostering a healthy work-life balance while providing the necessary support for professional and personal growth. Be part of our network of Subject Matter Experts. E-Verify Participation: Pharmavise Consulting Corporation participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, Pharmavise is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue. For more information on E-Verify, please contact DHS at ************ or through their website at dhs.gov/e-verify.

Apply Now Why You'll Love This Job The Clinical Data & Outcomes Lead plays a critical role in supporting departmental excellence through the collection, organization, and interpretation of key data that drives clinical quality, operational efficiency, and continuous improvement. This role combines clinical practice with data stewardship-balancing a billable caseload with responsibility for maintaining accurate data systems, monitoring outcomes, and reporting key performance indicators (KPIs). Lead partners with leadership and peers to ensure that outcome data informs decisions and reflects the true impact of clinical services. This position is ideal for a clinician who values both high-quality assessment work and the advancement of evidence-based practice through data, quality metrics, and system improvement. Role Composition: * 75% Billable Clinical Work * 10% Clinical Administrative Tasks * 5% Data & Outcomes Leadership Responsibilities Key Responsibilities 1. Clinical Service Delivery (75%) * Conduct autism diagnostic evaluations using protocol set by organization (e.g., appropriate autism-specific, cognitive, adaptive, and broad symptom screener measures). * Complete all clinical documentation in adherence with organizational quality and timeline expectations. * Maintain required productivity standards while delivering high-quality, ethical, and family-centered clinical care. * Engage families and caregivers in the evaluation process with professionalism and compassion. 2. Clinical Administrative Responsibilities (10%) * Attend weekly staff meetings, training, and case consultation opportunities. * Complete non-billable tasks related to clinical care such as communication with caregivers, coordination of case-related details, and chart updates. * Maintain compliance with documentation, data entry, and organizational policy standards. 3. Data & Outcomes Leadership (5%) - Data Tracking & Reporting * Run, compile, and enter weekly Key Performance Indicator (KPI) data into designated systems. * Maintain a log for Comprehensive Psychological Evaluations, ensuring accurate tracking and classification. * Support service referral tracking and document relevant outcome data. * Maintain crisis team logs to ensure accurate documentation of open, active, and closed cases. Skills & Qualifications Required Qualifications * Doctoral degree (PhD or PsyD) in Psychology from an accredited program. * Active, unrestricted psychologist license (or license-eligible within required timeframe), PsyPact preferred. * Master's level provider may be considered. * Experience conducting standardized psychological or developmental assessments, preferably including autism diagnostics. * Familiarity with KPI tracking, basic data systems, or clinical operations preferred. * Strong Excel/Sheets skills and comfort working with data dashboards or reporting tools. * Knowledge of autism assessment procedures and relevant reporting requirements. Key Competencies * Data Accuracy & Reliability: Ensures precise and consistent data entry, tracking, and reporting. * Analytical Thinking: Identifies trends, discrepancies, and system-level insights from clinical and operational metrics. * Clinical Competence: Provides high-quality diagnostic services with fidelity to standardized procedures. * Organization: Manages multiple logs, calendars, and data workflows efficiently. * Communication: Conveys trends and insights clearly and professionally to clinicians and leadership. * Confidentiality: Maintains strict compliance with HIPAA and organizational data security requirements. * Collaboration: Works effectively with leadership, peers, and cross-functional teams to enhance quality and outcomes. * Adaptability: Adjusts to evolving systems, reporting needs, and departmental priorities with flexibility. For Internal Candidates: * Must be in good standing within the department, including: * Meeting productivity expectations and documentation timeliness. * Minimal report errors or denials. * Positive family and peer feedback. * Demonstrated collaboration and engagement with staff and leadership. Apply Now Job Number: 161775 Back to All Jobs

Insight Global is looking for a Data Engineer to support a large healthcare client in a remote capacity. The Data Engineer will be responsible for developing and maintaining new and existing data ETL pipelines and data source marts for internal use under general supervision. Additionally, they will provide support on development projects, participate in the full development life cycle including requirements analysis. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements 3-5 years of experience in an information technology field Experience with Python, Terraform, and Databricks Understanding of JSON, jinja templates, and Lakehouse Data Architecture

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative and dynamic team. Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for transforming raw data into trusted, authoritative sources that drive business decisions. You thrive in a fast-paced, agile environment and enjoy solving complex data integration challenges. You're passionate about data commercialization and enabling self-service analytics across the organization. Your ability to collaborate across teams and leverage modern cloud technologies makes you a key player in our data strategy. You also bring a personal passion for AI and coding into your professional life, exploring cutting-edge tools like Anthropic's Claude Code, Kizer, Cursor, and more. This curiosity fuels your innovation and keeps you ahead of emerging trends in data engineering and automation. Snowflake Data Engineer | Day-to-Day Design, build, and maintain scalable data pipelines using Snowflake and Azure Service Bus to support enterprise-wide data initiatives. Partner with business and technical stakeholders to develop authoritative data sources that enable data commercialization and strategic insights. Manage and track work using Agile tools such as Jira and ServiceNow, contributing to sprint planning, backlog grooming, and daily stand-ups. Support and optimize data integration processes, including transitioning away from legacy tools like SnowMirror to more modern solutions. Collaborate with reporting teams to enable self-service analytics using platforms like Power BI and Sigma, while maintaining data integrity and accessibility. Participate in code reviews, documentation efforts, and continuous improvement activities to enhance data engineering standards and practices. Leverage personal experience with AI-powered coding assistants and automation tools to streamline development workflows and explore innovative solutions. Snowflake Data Engineer | Skills & Experience 5+ years of experience in data engineering, data architecture, or a related technical field. Strong hands-on experience with Snowflake and cloud-based data platforms, preferably within the Azure ecosystem. Familiarity with Agile methodologies and experience using tools such as Jira and ServiceNow for work management and team collaboration. Experience with data integration and messaging systems, including Azure Service Bus and similar technologies used in enterprise environments. Working knowledge of reporting and visualization tools such as Power BI and Sigma, with an understanding of self-service analytics principles and implementation. Exposure to Python and a willingness to collaborate with developers who use it for data-related tasks, automation, and scripting. Enthusiasm for AI-assisted coding and experimentation with tools like Claude Code, Codex, GPT-5, Climb, Kizer, and Cursor to enhance productivity and innovation. A Best Place to Work in Indiana since 2015

About the Role: We are seeking a highly skilled and motivated Data Engineer to join our team as an individual contributor. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data-driven initiatives. You will work closely with cross-functional teams to ensure data availability, quality, and performance across the organization. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Key Responsibilities: * Design, develop, and maintain robust data pipelines using Java and Python. * Build and optimize data workflows on AWS using services such as EMR, Glue, Lambda, and NoSQL databases. * Leverage open-source frameworks to enhance data processing capabilities and performance. * Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions. * Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives. * Ensure data integrity, security, and compliance with internal and external standards. Required Qualifications: * 5+ years of hands-on experience in software development using Java and Python (Spring Boo). * 1+ years of experience working with AWS services including EMR, Glue, Lambda, and NoSQL databases. * 3+ years of experience working with open-source data processing frameworks (e.g., Apache Spark, Kafka, Airflow). * 2+ years of experience in Agile software development environments. * Strong problem-solving skills and the ability to work independently in a fast-paced environment. * Excellent communication and collaboration skills. Preferred Qualifications: * Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). * Familiarity with data governance and data quality best practices. * Exposure to data lake and data warehouse architectures. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities We are seeking a Data Engineer with expertise in Azure, AWS, Databricks, and Python to design, build, and optimize scalable data pipelines and products. This role will focus on developing modern cloud-based data solutions that support analytics, reporting, system integrations, and AI/ML. The ideal candidate will leverage Python and SQL for automation and data processing while ensuring reliability, security, and performance across platforms. Working closely with analysts, data scientists, and business stakeholders, this position plays a key role in delivering high-quality and efficient data solutions. Salary Range The salary range for this position is $62,300 - $122,430 per year. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate's relevant skills and professional experience, educational qualifications, and geographic location. Key Accountabilities Key Competencies for Position Ability to work independently and be able to collaborate and guide other team members. Critical thinking and problem-solving skills to ensure the right-sized solution is developed for the task at hand. Technical passion to move the bank towards modern data platform principles. Duties/Responsibilities Design, development, and maintenance (enhancements and maintenance) of enterprise data products and pipelines. Design and development of repeatable frameworks and functions to be leveraged by other data engineers within the bank. Focus on Operational Excellence- ensuring we are monitoring, validating, and communicating the health and status of our data products. Collaborate with Enterprise Architecture, Info Security and Data Governance organizations. Confer with relevant team members where necessary. Study systems flow, data usage, and work processes. Deliver functional data products that have been thoroughly tested. Follow the development team's SDLC process. Accurately estimate time required to complete projects and tasks. Meet mutually agreed upon deadlines for completion of modules throughout the program development. Work closely with the existing platform owners to design, model, develop, and maintain existing and new objects/products required for all business solutions. Skills and Qualification Bachelor's degree required. Over 5 years of experience in data engineering, including developing ETL/ELT, data pipelines, data lakes, data warehouses, and data integration solutions. Over 3 years of experience on data engineering teams, preferably in a financial services or banking domain. 3-5 years' experience Cloud platforms (AWS, Azure, GCP, Databricks,Snowflake) Databricks preferred and Python programming or advanced SQL coding and performance tuning. Experience in a product mindset, using agile frameworks such as Scrum or Kanban. Expertise in building scalable, reliable, and secure data products and platforms, using metadata driven, event driven, and API driven approaches. Experience in scripting tools such as Python. Experience in orchestration tools or job schedulers, such as Azure Data Factory, Airflow, or Luigi. Experience in data modeling/mastering, data quality, data governance, and data security standards and best practices. Experience in code repositories and version control tools such as Azure DevOps, Git, etc. Experience in analytical and data visualization tools such as Power BI, Tableau, or Qlik. Experience in working with Salesforce data and digital banking data is a plus. Very good working experience of T-SQL. Proficiency in complex stored procedures, user defined functions, and query optimization. Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position. Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank. Join our team. We can recommend jobs specifically for you! Click here to get started. If you're qualified for a position but need additional help with the application because of a disability, please email ************************** (This email will respond to accommodation requests only.)

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Integrated Risk Management Program Overview Lilly's Integrated Risk Management (IRM) program is a strategic enterprise initiative that transforms traditional risk management into a competitive advantage by uniting cross-functional expertise with cutting-edge analytics and technology. IRM enables faster, better informed decision-making that protects what matters most: our operations, reputation, and ability to deliver life-saving medicines to patients. This integrated approach creates a coordinated and proactive system that helps Lilly stay resilient and agile as we continue reaching more patients than ever before. Position Description The Risk Data Engineer creates the data foundation that powers risk intelligence across the enterprise by integrating fragmented systems, building unified data pipelines, and ensuring risk leaders have access to complete, accurate, and timely risk data. Working within the centralized IRM Analytics team, you will architect and implement data solutions using Microsoft Fabric that connect disparate risk platforms-including ServiceNow GRC, assurance systems, enterprise applications, and business-specific tools-into cohesive data ecosystems that enable comprehensive risk visibility. This role focuses on designing and maintaining robust data infrastructure using Microsoft Fabric's medallion architecture, implementing data pipelines and transformation workflows, and establishing data governance frameworks that ensure data quality, security, and accessibility across all IRM functions. You will transform how risk data flows through the organization, breaking down historical silos and creating analytics and AI-ready datasets that enable advanced analytics, real-time monitoring, and predictive risk intelligence. Primary Position Responsibilities Data Infrastructure Development Design, build, and maintain enterprise risk data pipelines using Microsoft Fabric with medallion architecture (bronze, silver, gold layers) that integrate data from multiple risk domains and enterprise systems Implement data engineering workflows using Fabric Data Factory, Synapse Data Engineering (Spark notebooks), and Dataflows Gen2 to consolidate fragmented risk data from ServiceNow GRC, SAP, Workday, SuccessFactors, assurance platforms, and other enterprise and function-specific systems Create unified data models and Power BI semantic models that enable cross-functional risk analytics, ensuring data consistency, accuracy, and accessibility across all risk functions Develop and maintain data quality frameworks, validation rules, and monitoring processes that ensure leadership has reliable, credible risk intelligence Establish and enforce data governance standards, security protocols, and access controls that protect sensitive risk information while enabling appropriate data sharing Solution Delivery Partner with Risk Analytics Developers, Risk Insights Architects, and Risk Data Scientists to understand data requirements and deliver datasets that power dashboards, reports, predictive models, and risk assessments Build scalable, automated data solutions using Fabric pipelines and dataflows that reduce manual data preparation efforts and enable real-time or near-real-time risk monitoring capabilities Optimize data pipeline performance using Fabric's compute resources and data storage options (Lakehouse, Data Warehouse) to ensure customers receive timely, accurate risk intelligence when decisions need to be made Implement data observability and monitoring solutions that proactively identify and resolve data quality issues before they impact business decisions Support migration and integration efforts as new risk technologies and platforms are adopted across the enterprise Operational Excellence Respond to sophisticated data requests from risk functions, producing clean, well-documented datasets in Fabric Lakehouses and Data Warehouses that support risk assessments, audits, investigations, and central initiatives Solve and resolve data quality issues, working with source system owners and business partners to implement sustainable fixes Document data lineage, transformation logic, data dictionaries, and technical architecture to enable knowledge sharing and maintain institutional knowledge Partner with Tech@Lilly (IT), risk platform administrators, and business data owners to identify and resolve data integration challenges Process Ownership Collaborate with risk data owners, assurance function partners, and enterprise data teams to see opportunities to improve data availability, quality, and integration Drive standardization of data definitions, taxonomies, and integration patterns across risk functions to enable more effective multi-functional analytics Support the upskilling of IRM team members and business partners in data engineering concepts, contributing to data literacy across the organization Stay ahead of on emerging data engineering technologies, practices, and tools, applying relevant innovations to enhance Lilly's risk data capabilities Basic Qualifications/Requirements Bachelor's Degree in Computer Science, Information Systems, Data Engineering, or related field. 3+ years of relevant professional experience in data engineering, ETL development, or data integration Strong proficiency with Microsoft Fabric or similar cloud data platforms (Azure Data Factory, Synapse Analytics, Databricks) Advanced SQL skills and experience with both relational and non-relational database technologies Experience designing and implementing ETL processes and data pipelines Demonstrated ability to translate business requirements into technical data solutions Understanding of Power BI data modeling and semantic model design Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this role. Additional Skills/Preferences Hands-on experience with Microsoft Fabric components including Data Factory, Synapse Data Engineering, Data Warehouse, Lakehouse, and Dataflows Gen2 Experience implementing medallion architecture or similar layered data lake design patterns Knowledge of Power BI semantic models, DirectLake, and optimizing datasets for analytical performance Experience with ServiceNow platform, ServiceNow GRC, or other governance, risk, and compliance systems Proficiency in dimensional modeling, star schema design, and data warehouse concepts Experience in pharmaceutical, healthcare, or highly regulated industries with complex data governance requirements Background in risk management, audit, compliance, or assurance domain data Familiarity with Power Platform integration (Power Automate, Power Apps) with Fabric Strong problem-solving skills with ability to diagnose and resolve sophisticated data integration challenges Excellent collaboration skills with both technical teams and non-technical business stakeholders Detail-oriented with commitment to data quality and comprehensive documentation Self-starter who works independently and proactively identifies opportunities for improvement Demonstrated strong motivation, rapid learning agility, and growth mindset Travel Up to 5-10% travel based on business needs Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $64,500 - $151,800 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Build Your Career at Heritage Construction + Materials! We are looking for a highly motivated, strategic-thinking, and data-driven technical expert to join our team as a HC+M Data Engineer. This individual will help develop and implement strategic data initiatives. They will be responsible for collecting and analyzing data, implementing technical solutions/algorithms, and developing and maintaining data pipelines. This position requires U.S. work authorization Essential Functions Develop and support data pipelines within our Cloud Data Platform Databricks Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization Design, implement, and maintain Delta Lake tables and pipelines to ensure optimized storage, data reliability, performance, and versioning Python application development Automate CI/CD pipelines for data workflows using Azure DevOps Integrate Databricks with other Azure services, such as Azure Data Factory and ADLS Design and implement monitoring solutions, leveraging Databricks monitoring tools, Azure Log Analytics, or custom dashboards for cluster and job performance Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company's core values, competencies, and skills. Education Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field required Experience Qualifications Expertise with programming languages such as Python and/or SQL Experience with Python Data Science Libraries (PySpark, Pandas, etc.) Experience with Test Drive Development (TDD) Automated CI/CD Pipelines Linux / Bash / Docker Database Schema Design and Optimization Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture Hands-on experience with Databricks or Snowflake Cloud Data Platforms Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Skills and Abilities Strong analytical and problem-solving skills Experience with programming languages such as Python, Java, R, or SQL Experience with Databricks or Snowflake Cloud Data Platforms Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau Proficient in Microsoft Office About Heritage Construction + Materials Heritage Construction + Materials (HC+M) is part of The Heritage Group, a privately held, family-owned business headquartered in Indianapolis. HC+M has core capabilities in infrastructure building. Its collection of companies provides innovative road construction and materials services across the Midwest. HC+M companies, including Asphalt Materials, Inc., Evergreen Roadworks, Milestone Contractors and US Aggregates, proudly employ 3,000 people at 68 locations across seven states. Learn more at *********************** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #HeritageConstruction+Materials

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************