Data engineer jobs in Ohio

is located at our Dublin, OH campus with hybrid flexibility. Who we are Founded in 1999 and headquartered in Central Ohio, we're a privately-owned, independent healthcare navigation organization. We believe that no one should have to navigate the cost and complexity of healthcare alone, and we're on a mission to make healthcare simpler and more effective for our millions of members. Our big-hearted, tech-savvy team fights to ensure that our members get the care they need, when they need it, at the most affordable cost - that's why we call ourselves Healthcare Warriors . We're committed to building diverse and inclusive teams - more than 2,000 of us and counting - so if you're excited about this position, we encourage you to apply - even if your experience doesn't match every requirement. About the role We are seeking a Senior Full Stack Developer to play a pivotal role in advancing our enterprise analytics platform and transforming the healthcare navigation experience. This role will serve as both a technical leader and hands-on contributor-driving architectural decisions, mentoring peers, and shaping how we integrate modern technologies, including LLMs (Large Language Models), into our analytics solutions. What you'll do (Essential Responsibilities) Lead the design, architecture, and development of complex full stack features for our analytics platform. Provide technical direction for integrating LLM-driven capabilities to enhance data interpretation and user interaction. Establish and enforce engineering best practices around scalability, performance, and security. Build and refine user interfaces in Vue.js, ensuring intuitive, accessible, and performant experiences. Design and optimize back-end services in Node.js, Python, or similar, with strong API and integration patterns. Architect and manage integrations with AWS QuickSight, Snowflake, PostgreSQL, and other enterprise data sources. Partner with product, design, and data teams to define the technical roadmap and deliver high-value features. Mentor junior developers, fostering technical growth and knowledge sharing within the team. Participate in and lead code reviews, promoting a culture of quality and continuous improvement. Explore, prototype, and implement AI/ML and LLM capabilities that unlock new insights and client value. Stay ahead of emerging trends in full stack and AI technologies, bringing forward recommendations that shape product strategy. All other duties as assigned. What you'll bring (Qualifications) Experience: 7+ years of professional full stack development experience, with demonstrated progression into senior or lead roles. Expertise in Vue.js and modern JavaScript/TypeScript frameworks. Strong back-end development experience with Node.js, Python, or similar languages. Advanced proficiency with SQL, data modeling, and performance optimization in Snowflake and PostgreSQL. Deep knowledge of AWS services, including QuickSight, and familiarity with scalable cloud-native architectures. Experience architecting and deploying secure, high-performance applications in enterprise environments. Strong understanding of RESTful APIs, authentication, and security best practices. Excellent communication skills, with the ability to translate complex technical concepts for business stakeholders. Commitment to data security, privacy, and compliance standards. Trustworthy and accountable behavior, capable of viewing and maintaining confidential information daily. Preferred Qualifications Prior experience in healthcare, healthtech, or other regulated industries. Hands-on experience enabling LLM-powered features through APIs (e.g., OpenAI, AWS Bedrock). Familiarity with AI/ML integration in analytics environments. Knowledge of CI/CD pipelines, Docker, and modern DevOps practices. Understanding of regulatory frameworks such as HIPAA. -- #LI-AK1 #LI-Hybrid What's in it for you Compensation: Competitive base and incentive compensation Coverage: Health, vision and dental featuring our best-in-class healthcare navigation services, along with life insurance, legal and identity protection, adoption assistance, EAP, Teladoc services and more. Retirement: 401(k) plan with up to 4% employer match and full vesting on day one. Balance: Paid Time Off (PTO), 7 paid holidays, parental leave, volunteer days, paid sabbaticals, and more. Development: Tuition reimbursement up to $5,250 annually, certification/continuing education reimbursement, discounted higher education partnerships, paid trainings and leadership development. Culture: Recognition as a Best Place to Work for 15+ years, dedication to diversity, philanthropy and sustainability, and people-first values that drive every decision. Environment: A modern workplace with a casual dress code, open floor plans, full-service dining, free snacks and drinks, complimentary 24/7 fitness center with group classes, outdoor walking paths, game room, notary and dry-cleaning services and more! What you should know Internal Associates: Already a Healthcare Warrior? Apply internally through Jobvite. Process: Application > Phone Screen > Online Assessment(s) > Interview(s) > Offer > Background Check. Diversity, Equity and Inclusion: Quantum Health welcomes everyone. We value our diverse team and suppliers, we're committed to empowering our ERGs, and we're proud to be an equal opportunity employer . Tobacco-Free Campus: To further enable the health and wellbeing of our associates and community, Quantum Health maintains a tobacco-free environment. The use of all types of tobacco products is prohibited in all company facilities and on all company grounds. Compensation Ranges: Compensation details published by job boards are estimates and not verified by Quantum Health. Details surrounding compensation will be disclosed throughout the interview process. Compensation offered is based on the candidate's unique combination of experience and qualifications related to the position. Sponsorship: Applicants must be legally authorized to work in the United States on a permanent and ongoing future basis without requiring sponsorship. Agencies: Quantum Health does not accept unsolicited resumes or outreach from third-parties. Absent a signed MSA and request/approval from Talent Acquisition to submit candidates for a specific requisition, we will not approve payment to any third party. Reasonable Accommodation: Should you require reasonable accommodation(s) to participate in the application/interview/selection process, or in order to complete the essential duties of the position upon acceptance of a job offer, click here to submit a recruitment accommodation request. Recruiting Scams: Unfortunately, scams targeting job seekers are common. To protect our candidates, we want to remind you that authorized representatives of Quantum Health will only contact you from an email address ending **********************. Quantum Health will never ask for personally identifiable information such as Date of Birth (DOB), Social Security Number (SSN), banking/direct/tax details, etc. via email or any other non-secure system, nor will we instruct you to make any purchases related to your employment. If you believe you've encountered a recruiting scam, report it to the Federal Trade Commission and your state's Attorney General.

Contract-to-Hire Columbus, OH (Hybrid) Our healthcare services client is looking for an entry-level Data Engineer to join their team. You will play a pivotal role in maintaining and improving inventory and logistics management programs. Your day-to-day work will include leveraging machine learning and open-source technologies to drive improvements in data processes. Job Responsibilities Automate key processes and enhance data quality Improve injection processes and enhance machine learning capabilities Manage substitutions and allocations to streamline product ordering Work on logistics-related data engineering tasks Build and maintain ML models for predictive analytics Interface with various customer systems Collaborate on integrating AI models into customer service Qualifications Bachelor's degree in related field 0-2 years of relevant experience Proficiency in SQL and Python Understanding of GCP/BigQuery (or any cloud experience, basic certifications a plus). Knowledge of data science concepts. Business acumen and understanding (corporate experience or internship preferred). Familiarity with Tableau Strong analytical skills Attitude for collaboration and knowledge sharing Ability to present confidently in front of leaders Why Should You Apply? You will be part of custom technical training and professional development through our Elevate Program! Start your career with a Fortune 15 company! Access to cutting-edge technologies Opportunity for career growth Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

THIS IS A W2 (NOT C2C OR REFERRAL BASED) CONTRACT OPPORTUNITY REMOTE MOSTLY WITH 1 DAY/MO ONSITE IN CINCINNATI-LOCAL CANDIDATES TAKE PREFERENCE RATE: $75-85/HR WITH BENEFITS We are seeking a highly skilled Data Architect to function in a consulting capacity to analyze, redesign, and optimize a Medical Payments client's environment. The ideal candidate will have deep expertise in SQL, Azure cloud services, and modern data architecture principles. Responsibilities Design and maintain scalable, secure, and high-performing data architectures. Lead migration and modernization projects in heavy use production systems. Develop and optimize data models, schemas, and integration strategies. Implement data governance, security, and compliance standards. Collaborate with business stakeholders to translate requirements into technical solutions. Ensure data quality, consistency, and accessibility across systems. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. Proven experience as a Data Architect or similar role. Strong proficiency in SQL (query optimization, stored procedures, indexing). Hands-on experience with Azure cloud services for data management and analytics. Knowledge of data modeling, ETL processes, and data warehousing concepts. Familiarity with security best practices and compliance frameworks. Preferred Skills Understanding of Electronic Health Records systems. Understanding of Big Data technologies and modern data platforms outside the scope of this project.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

E*Pro Consulting service offerings include contingent Staff Augmentation of IT professionals, Permanent Recruiting and Temp-to-Hire. In addition, our industry expertise and knowledge within financial services, Insurance, Telecom, Manufacturing, Technology, Media and Entertainment, Pharmaceutical, Health Care and service industries ensures our services are customized to meet specific needs. For more details please visit our website ****************** Job Description Title : ETL Architect Location : Columbus, OH Type : Fulltime Permanent Work Status : US Citizen / GC / EAD (GC) Required Skills: • Responsible for Architecture, Design and Implementation of Data Integration/ETL, Data Quality, Metadata Management and Data Migration solutions using Informatica tools • Execute engagements as Data Integration-ETL Architect and define Solution Strategy, Architecture, Design and Implementation approach • Expertise in implementing Data Integration-ETL solutions which include components such as ETL, Data Migration, Replication, Consolidation, Data Quality, Metadata Management etc. using Informatica products (e.g. Power Center, Power Exchange, IDQ, Metadata Manager) • Responsible for Detailed ETL design, Data Mapping, Transformation Rules, Interfaces, Database schema, Scheduling, Performance Tuning, etc • Lead a team of designers/developers and guide them throughout the implementation life cycle and perform Code review • Engage client Architects, SMEs and other stakeholders throughout Architecture, Design and implementation lifecycle and recommend effective solutions • experience in multiple Databases such as Oracle, DB2, SQL Server, Mainframe, etc • Experience in Industry models such as IIW, IAA, ACORD, HL7, etc. and Insurance products (e.g. Guidewire) will be plus Additional Information All your information will be kept confidential according to EEO guidelines.

Data Scientist - (250009C7) Description A Brief OverviewThe Data Scientist supports administrative and clinical leaders and teams focused on achieving the Quadruple Aim. The individual in this role is responsible for executing projects that require the full data science pipeline including data integration of disparate and centralized data into data marts, data mining, statistical model development, advanced analytic methods, report/dashboard visualization and results presentation in support of strategic objectives. The Data Scientist will work closely with senior leaders and colleagues to identify opportunities, set objectives, and formulate analytic strategies that result in measurable impact to University Hospitals. What You Will DoLead the discovery and requirements gathering process with key clinical and business stakeholders to inform analytic plans Collaboratively co-create the discovery, design, development, deployment, optimization, and maintenance of advanced analytics and data science techniques to enrich disparate datasets to craft data-driven interventions aimed at achieving the Quadruple Aim. Research, design, develop and implement statistical models, and advanced analytics to support key strategic initiatives. Develop and deploy innovative analytic solutions for simplistic Analytics-As-A-Service Business Intelligence dashboards, rapid-fire flash reports directly to clinical and operational colleagues and/or other customized reporting distribution solutions. Visualize data in creative ways that brings data and insights to life and is consumable in the business and operational workflow of end-users Creatively utilize diverse data sources, such as electronic health record data, insurance claims data, scheduling and financial data, social determinants of health data and any other relevant sources that help support UH Clinical Transformation and System Operations Strategy. Develop purpose-driven data marts in Alteryx and SQL environments (on premise and Microsoft Azure). Assess the effectiveness and accuracy of new data sources and data gathering techniques Collaborate with IT to support data architecture of diverse datasets that support clinical integration by converging these disparate data systems into repositories fit for algorithmic development and model training. Evaluate business performance and dynamically monitor critical operational measures related to shared savings arrangements and other value-based programs with governmental and commercial payors. Propose and develop novel solutions to UH data science problems, demonstrate and evaluate the feasibility of these solutions and continuously adapt these solutions to integrate into the context of real-world clinical care. Support the creation of analytics and scientific exploration related to risk modeling, financial performance and quality of care for managed populations. Create technical interfacing to deploy simplified analytics directly to provider portal(s), / websites, or mobile applications to enhance the UH clinical and business processes. Develop documentation, software, support tools, and technology infrastructure to enhance the ability of analysts and operational leaders across the clinical enterprise to effectively and rapidly extract meaning from health care data. Develop processes and tools to monitor and analyze analytical model performance and data accuracy; provide ad-hoc analysis and visualizations. Engage, mentor, co-create, cross-train, and learn from data science and analytical colleagues to promote a collaborative environment with applied process learning. Maintain fluency in existing and emerging data science technologies and complete online coursework or independent study to fill in gaps of knowledge as needed to manage and execute innovation projects. Serve as the technical lead focused on creative use of diverse data sources, such as electronic health record data, insurance claims data, scheduling and financial data, social determinants of health data, and any other relevant sources that help support the UH clinical and business processes. Additional ResponsibilitiesPerforms other duties as assigned. Complies with all policies and standards. For specific duties and responsibilities, refer to documentation provided by the department during orientation. Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace. Qualifications EducationBachelor's Degree Math, Statistics, Computer Science, Economics, Sociology, Public Health, or related Quantitative or Social Science discipline (Required) Master's Degree in related field (Preferred) or Doctorate Degree in related field (Preferred) Work Experience3+ years Working with complex analytic situations or big data environments (Required) Healthcare (Hospital/Health System, Payor, or Life Sciences) experience (Preferred) Knowledge, Skills, & Abilities Extensive experience working with SQL/complex queries (Required proficiency) Proficiency in statistical programming languages such as Python (e. g. pandas, scikit-learn, genism, seaborn, tensorflow) or R (e. g. caret, dplyr, ggplot2) (Required proficiency) Experience with statistics, business intelligence development, report automation, and applied ETL development (Required proficiency) Experience in data visualization (e. g. Tableau or PowerBI are preferred) and ability to communicate results to a non-technical audience (Required proficiency) Experience being part of strategic projects with high visibility and impact with many internal and external teams involved. (Required proficiency) Experience providing insights to executive stakeholders (Required proficiency) Experience managing collaborative data science projects (Required proficiency) Experience providing analytics that have a major impact on company's strategic imperatives and business results. (Required proficiency) Self-starter who is adept at independent decision-,making and is ideally suited for emermging leaders in health data sciences (Required proficiency) Ability to develop data pipelines to support AI and machine learning model development (Required proficiency) Ability to learn new software and emerging technologies without extensive hands-on training (Required proficiency) Knowledge of Microsoft Azure (Required proficiency) Ability to work independently and use creative approaches to problem-solving but know when to seek help from other team members (Required proficiency) Optimistic, self-directed performer capable of complex decision making and communication (Required proficiency) Capable of turning questions into testable hypotheses, estracting data from complex databases, creating and evaluating statistical models (Required proficiency) Capable of gathering and validating requirements, articulating the pros and cons of different analytic approaches, estimating timelines for completion of work, and predicting potential challenges to producing accurate time estimates and analytic plans. (Required proficiency) Working knowledge of emerging technology platforms (Required proficiency) Experience and working knowledge of Electronic Health Records (Epic and Allscripts), claims-based reporting, and fluency with healthcare coding. (Preferred proficiency) Physical DemandsStanding Occasionally Walking Occasionally Sitting Constantly Lifting Rarely up to 20 lbs Carrying Rarely up to 20 lbs Pushing Rarely up to 20 lbs Pulling Rarely up to 20 lbs Climbing Rarely up to 20 lbs Balancing Rarely Stooping Rarely Kneeling Rarely Crouching Rarely Crawling Rarely Reaching Rarely Handling Occasionally Grasping Occasionally Feeling Rarely Talking Constantly Hearing Constantly Repetitive Motions Frequently Eye/Hand/Foot Coordination Frequently Travel Requirements10% Primary Location: United States-Ohio-Shaker_HeightsWork Locations: 3605 Warrensville Center Road 3605 Warrensville Center Road Shaker Heights 44122Job: Administrative SupportOrganization: UHHS_FacilitiesSchedule: Full-time Employee Status: Regular - ShiftDaysJob Type: StandardJob Level: ProfessionalTravel: NoRemote Work: HybridJob Posting: Sep 26, 2025, 3:58:04 PM

Within the broader Consumer and Community Banking (CCB) Data & Analytics team, the Consumer Bank(CB) Customer Analytics team is responsible for understanding our existing customers' behavior, financial goals, product preferences, and cross-channel interactions through advanced analytics (e.g., Machine Learning, AI). While our team primarily focuses on our deposit and investment clients, we frequently work with partners from across other lines of business (e.g., Card, Home Lending, Business Banking, Private Banking). Job Summary: As the Lead Data Scientist within the Commercial Banking Customer Analytics team you will drive the analytics roadmap, deliver deep-dive analyses, and lead major cross-functional initiatives that transform the business. You have a combination of technical expertise with strategic vision, excel at problem-solving, and communicates\ data-driven insights that influence decisions at all levels. Recent projects include customer segmentation, attrition mitigation, channel usage forecasting, and competitive risk analysis using funds transfer data. Job Responsibilities: Define and drive our analytic agenda, finding and prioritizing the most impactful opportunities to improve our business and customer experience Work with our team of data scientists to develop comprehensive analytic plans and execute on analytic projects Work with cross-functional partners to establish new operating models, establish new solutions, and drive organizational change Innovate using data driven insights, screen, and work with external vendors who can provide data we do not have access to internally to improve our analytic capabilities including piloting/developing proofs of concept. Required qualifications, capabilities, and skills: Bachelor's degree with 7+ years of experience or a Master's degree with 5+ years of experience or PhD in a relevant quantitative field. 5+ years of experience working with analytics 5+ years of experience with snowflake SQL for querying large data warehouses, and proficiency with at least one of the following analytical tools: Python, R, or SPARK 3+ years of experience in strategy, management consulting, or similar skillset Experience implementing supervised and unsupervised machine learning methods Experience with visualization techniques for data analysis and presentation Passion for problem-solving. Must be able to think outside the box to implement creative solutions that solve business problems Excellent written and verbal communications skills with the ability to turn complex data into concise client-friendly findings and recommendations Self-starter who works independently and has the motor to drive change across the organization Ability to collaborate effectively in cross-functional teams Proven ability to work in a fast paced environment, meet deadlines, and manage projects. Can stay organized and deliver at a high level while juggling a large book of work Preferred qualifications, capabilities and skills: Track record of successful stakeholder engagement and change management. Recognized as a thought leader, with experience driving strategic initiatives and innovation. Experience designing and executing various testing frameworks to measure business impact Experience with ETL (Extract, Transform, Load) processes and tools for managing and integrating large datasets Experience with artificial intelligence (AI) techniques and applications (nice to have) Financial services experience Tableau preferred

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Customer-Focused Strategic Data Scientist What You'll Do The Strategic Data Scientist at CoverMyMeds makes a meaningful contribution to the success of our company. This role is broadly responsible for value proposition refinement and supports key customers by providing world-class analytics and insight into our vast store of live data, turning insights and model predictions into program and product recommendations. This position collaborates extensively with business units and channels across the company and supports the business goals of external clients. Our ideal candidate is curious, thrives in a constantly changing environment and adeptly conveys complex analytical findings to non-technical audiences and actionable insights. Examples of tasks to be performed within the role: Serve as the lead analytics point of contact for specific Biopharma customers. Frequently develops data and storytelling to help anticipate and meet the strategic needs of a customer and Customer Success Team (CST). Develop trusted advisor relationships with key accounts, customer stakeholders and executive sponsors. Work closely with Commercial Customer Success Team (CST) members and external clients, demonstrating the value of CMM products through data narratives. Analytics work will consist of deep dives into program performance and health of the current portfolio. Perform in-depth analyses to identify opportunities which can lead to recommendations to improve overall profitability, value or strategic use of our products and make recommendations to improve overall profitability and value. Responsibilities will include using and identifying patient, product and network models to interpret data, creating ad-hoc reports, data visualizations, and modifying and updating standard reports when applicable Lead new data-driven insight presentations with customers. Use creative means to proactively identify areas of improvement to enhance product value for clients. Use standard formulas and methods, perform basic and advanced statistical evaluations and analysis of product data in all stages including collection, analysis, and reporting. Monitor portfolio programs to support continuous quality improvement efforts using performance metric development and monitoring, and effectively communicate to this to stakeholders via strategic business reviews, scheduled meetings or where require appropriate escalation. Lead data-driven insight presentations with clients Use creative means to proactively identify areas of improvement to enhance product value for clients. Perform in-depth analysis to identify key business risks and opportunities and make recommendations to improve overall profitability and value. Become a subject matter expert (SME) on CoverMyMeds products and programs and the pharmaceutical industry. Work on high-profile customer accounts in collaboration with account management teams. Minimum Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Public Health Information, Bioinformatics, or a related quantitative field, or equivalent practical experience Skills You'll Need BA/BS required in Data Science, Statistics, Computer Science, Engineering, Public Health Information, Bioinformatics, or equivalent quantitative field. 3-5 years of experience in a BI role in healthcare/Pharma industry Understanding of data science methodologies including decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc. Experience with statistical software experience (PYTHON, R, MATLAB, SAS, etc.) is a plus Curious problem solver by nature; able to quickly make sense of complex data issues. Driven, self-motivated, team player adept at working in environment with competing priorities. Experience with data mining, analysis, and providing insights. Adept at creating queries, writing reports, and presenting findings. Intermediate to Advanced proficiency in SQL. Intermediate to Advanced proficiency in data visualization tools e.g., Excel, Tableau, Power BI etc. Able to communicate and manage expectations. Excellent communication and presentation skills including to senior leadership and C-Suite external stakeholders; able to “think on your feet” and respond to questions where the answer is not known or not straightforward. (able to provide complex analysis in layman's terms - at varying levels of audience, from peer set to C-suite). Preferred Skills Pharmacy or Financial transaction adjudication experience Industry Expertise - Specifically in Insurance, Pharmaceutical, or Healthcare. Curiosity - A naturally curious mindset with a drive to dig deeper into data and uncover the “why.” Collaboration - Key success factors in this role include leading without direct authority, building relationships across multiple functions, and listening to input and perspectives from across the organization, customers, and industry stakeholders. Passion - The candidate should have a passion for improving US healthcare and a desire to join a team that focuses every day on enabling healthier lives through the work that we do. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $104,600 - $174,400 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

Job title: ETL Architect DURATION 18 months YEARS OF EXPERIENCE 7-10 INTERVIEW TYPE Phone Screen to Hire REQUIRED SKILLS • Experience with Data Stage and ETL design Technical • Requirement gathering , converting business requirements to technical specs to profile • Worked hands on in minimum 2 projects with data stage • Understand the process of developing an etl design that support multiple datastage developers • Be able to create an etl design framework and related specifications for use by etl developers • Define standards and best practices of Data Stage etl to be followed by all data stage developers • Understanding of Data Warehouse, Data marts concepts and implementation experience • Be able to look at code produced to insure conformance with developed ETL framework and design for reuse • Preferable experienced user level comptency in IBM's metadata product, datastage and Infosphere product line • Be able to design etl for oracle or sql server or any db • Good analytical skills and process design • Insuring compliance to quality standards, and delivery timelines. Qualifications Bachelors Additional Information Required Skills: Job Description: Performs highly complex application programming/systems development and support Performs highly complex configuration of business rules and technical parameters of software products Review business requirements and develop application design documentation Build technical components (Maximo objects, TRM Rules, Java extensions, etc) based on detailed design. Performs unit testing of components along with completing necessary documentation. Supports product test, user acceptance test, etc as a member of the fix-it team. Employs consistent measurement techniques Include testing in project plans and establish controls to require adherence to test plans Manages the interrelationships among various projects or work objectives

Would you like to take ownership in a dynamic, high-growth business that truly walks the talk? Oswald Companies seeks goal-driven professionals ready to take their career to the next level. Responsible for performing and presenting data analysis for assigned accounts and complete special project deliverables in the Group Benefits Business Unit; conducts complex analysis and customized models on multi-national accounts across many lines of coverage and varying funding mechanisms. Supports sales growth and retention objectives. A Day in The Life: Manages large projects from inception and design through post-implementation assessment, working closely with internal departments and clients. Attends client meetings as lead data consultant; presents to key business leaders to explain analytical findings and financial recommendations; demonstrates strong client-facing skills and engenders client's confidence in the data recommendations / findings. Provides insight on various funding methodologies to include fully insured projections, carrier rating methodologies, self-insured stop-loss risk levels, and other alternative funding programs. Analyzes data to identify plan utilization, financial trends, and comparative industry benchmarks as the basis for preparing financial projections, utilizing benchmarking resources and tools, developing COBRA rates, and making recommendations for plan design modification. Ability to assess reasonableness of results of own work and establish strong peer review strategies; provides mentorship and coaching for Analysts and Senior Analysts. Interfaces with colleagues from other practices and markets on assignments that reflect the client's broader business issues. Collaborates with Client Executive to drive strategic direction with data-driven analysis; works closely to identify and develop solutions to minimize risk and maximize cost effectiveness. Accesses the data of existing clients to conduct a financial analysis of relevant information to aid in the evaluation of plan performance, both current and projected experience. Assist in RFP process for new business and participates in finalist meetings as the Analytics SME. Takes ownership of an assigned book of business. Provides internal teams with accurate deliverables in a timely fashion to meet client expectations; maintains a concise and consistent level of communication within the team. Collaborates with other Data Analytics team members to share knowledge and contribute to the design and utilization of client deliverables; remains current on compliance regulations and incorporates that knowledge into existing data analytics tools; builds team synergy for department effectiveness. Prioritizes and manages workload effectively, thinks through issues and determines alternative solutions to meet deadlines and improve personal productivity. What You'll Need: Bachelor's degree in actuarial science, Finance, Mathematics, Economics, Statistics, or related field from a four-year college or university Ten or more years of related experience or the equivalent combination of education and experience. Prior Experience Specifically Required Prior experience gathering, manipulating, and deciphering data required. Prior experience in delivering analytical findings and recommendations required. Prior experience working in a group benefits environment required. Prior analytical and research experience required. Who You Are: The specific personal traits required to accomplish the essential duties of this job successfully include: Strong attention to detail particularly with mathematical information Strong organizational skills with the ability to prioritize accordingly. Ability to focus on work-at-hand; not easily distracted. Exceptional written and verbal communication skills Demonstrated resourcefulness; works well independently and on a team. Manages stress well. Self-confident with capable interpersonal skills Strong client-facing and presentation abilities Who is Oswald? Oswald is a 129-year-old company that creates a world of protection around the lives and businesses of our clients. We are an independent, employee-owned company. So, essentially, you own your own success in a personally and financially rewarding opportunity. Inclusivity is a priority. We foster an environment of collaboration and belonging where our Employee-Owners thrive on their unique path. Our diverse talent reflects the communities and clients we serve, while driving unmatched risk and insurance innovations. Our people-first culture and client service excellence have built our reputation of integrity, resourcefulness, and a relentless care for our clients and employees. Don't believe us? Ask your friends, colleagues, and mentors about Oswald. There's a reason Oswald has been named a Top Workplace for nine consecutive years. What you'll get... At Oswald, you will have the opportunity to build a long-term career with unlimited growth potential. Aim high, work hard and we'll help you achieve your goals. At Oswald, you will experience our caring work environment. We care about our Employee-Owners, we care about our customers, and we care about the world around us. Our caring personality comes to life in the form of volunteering in the community. We even give employees paid time off to volunteer with an organization of their choice. At Oswald, you will achieve a work-life balance. We care about your physical and emotional well-being, so work-life balance is encouraged and practiced. We understand you have a life outside of work, and we want you to live it. At Oswald, you will have access to a world-class Total Rewards package. We truly value our people, which shows in our compensation, benefits, and perks. In addition to competitive pay, we have designed a performance-based annual incentive program. All employees are eligible to earn a bonus by meeting performance objectives. Comprehensive medical, dental and vision plans and numerous supplemental benefit offerings. Paid time off annually and a sabbatical at every 10-year service anniversary. Ownership in the company in the form of company stock (discretionary profit-sharing and 401(k) match contribution) Assistance with parking expenses, discount programs for area services/experiences, and financial support for professional development and licensure/designations Access to specialized leadership development programming designed to take your career to the next level. And so much more! To learn more about Oswald, our culture and everything we have to offer, visit us on LinkedIn. Oswald, a Unison Risk Advisors company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

The Data Scientist will be responsible to create product reliability models and advanced analytics that drive strategic decisions about product improvements. This role will collaborate closely with cross-functional teams, including Engineering, Product Management, Quality, Services, and IT, to develop and deploy data-driven solutions that address complex customer challenges. You should understand the impacts of environmental and other field conditions as they relate to product reliability. In this role, you should be able to apply mathematical and statistical methods to predict future field performance by building product reliability models using software tools. PRINCIPAL DUTIES & RESPONSIBILITIES: * Analyze product reliability requirements * Create predictive models for field performance and product reliability * Assist in design of experiments and analysis to understand impacts of different design decisions and test results * Correlate predictive models with test results and field data REQUIREMENTS: * Bachelor's Degree in Math, Statistics, Data Science, Computer Science, Reliability Engineering, or equivalent experience * 1-5 years of experience * Basic knowledge in power/electrical engineering; AC and DC power * Basic knowledge in large- and small-scale cooling systems * LabVIEW, Python, or other coding and modeling language * Minitab or other statistical software tools * Power BI or other data visualization tools * Travel 15%

Responsible for performing and presenting data analysis for assigned accounts and complete special project deliverables in the Group Benefits Business Unit; conducts complex analysis and customized models on multi-national accounts across many lines of coverage and varying funding mechanisms. Supports sales growth and retention objectives. A Day in The Life: Manages large projects from inception and design through post-implementation assessment, working closely with internal departments and clients. Attends client meetings as lead data consultant; presents to key business leaders to explain analytical findings and financial recommendations; demonstrates strong client-facing skills and engenders client's confidence in the data recommendations / findings. Provides insight on various funding methodologies to include fully insured projections, carrier rating methodologies, self-insured stop-loss risk levels, and other alternative funding programs. Analyzes data to identify plan utilization, financial trends, and comparative industry benchmarks as the basis for preparing financial projections, utilizing benchmarking resources and tools, developing COBRA rates, and making recommendations for plan design modification. Ability to assess reasonableness of results of own work and establish strong peer review strategies; provides mentorship and coaching for Analysts and Senior Analysts. Interfaces with colleagues from other practices and markets on assignments that reflect the client's broader business issues. Collaborates with Client Executive to drive strategic direction with data-driven analysis; works closely to identify and develop solutions to minimize risk and maximize cost effectiveness. Accesses the data of existing clients to conduct a financial analysis of relevant information to aid in the evaluation of plan performance, both current and projected experience. Assist in RFP process for new business and participates in finalist meetings as the Analytics SME. Takes ownership of an assigned book of business. Provides internal teams with accurate deliverables in a timely fashion to meet client expectations; maintains a concise and consistent level of communication within the team. Collaborates with other Data Analytics team members to share knowledge and contribute to the design and utilization of client deliverables; remains current on compliance regulations and incorporates that knowledge into existing data analytics tools; builds team synergy for department effectiveness. Prioritizes and manages workload effectively, thinks through issues and determines alternative solutions to meet deadlines and improve personal productivity. What You'll Need: Bachelor's degree in actuarial science, Finance, Mathematics, Economics, Statistics, or related field from a four-year college or university Ten or more years of related experience or the equivalent combination of education and experience. Prior Experience Specifically Required Prior experience gathering, manipulating, and deciphering data required. Prior experience in delivering analytical findings and recommendations required. Prior experience working in a group benefits environment required. Prior analytical and research experience required. Who You Are: The specific personal traits required to accomplish the essential duties of this job successfully include: Strong attention to detail particularly with mathematical information Strong organizational skills with the ability to prioritize accordingly. Ability to focus on work-at-hand; not easily distracted. Exceptional written and verbal communication skills Demonstrated resourcefulness; works well independently and on a team. Manages stress well. Self-confident with capable interpersonal skills Strong client-facing and presentation abilities

We are currently seeking an experienced data scientist to join our AI team who will support and lead data flow, advanced analytical needs and AI tools across Medpace. The AI team utilizes analytical principles and techniques to identify, collate and analyze many data sources and works with teams across Medpace to support efficiency and business gains for pharmaceutical development. The AI Data Scientist will support various projects across the company to bring data sources together in a consistent manner, work with the business to identify the value of AI, identify appropriate solutions and work with IT to ensure they are developed and built into the relevant systems. The team is seeking an experienced candidate to contribute new skills to our team, support team growth and foster AI development. The AI Team is a highly collaborative team with members in both the Cincinnati and London offices. This team supports many teams across the business including clinical operations, medical, labs, business development and business operations. The AI Team also works side-by-side with data engineering, business analytics and software engineering to architecture innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, or computer science, please review the following career opportunity. Responsibilities * Explore and work with different data sources to collate into knowledge; * Work with different business teams across the company with a variety of different business needs to identify potential areas that AI can support; * Manage the process of working through AI potentials from discovery research to PoC to production with the business teams and supporting tasks for IT developers; * Try out different AI tools to substantiate the potential of its use with the business team; * Translate results into compelling visualizations which illustrate the overall benefits of the use of AI and identify with the business team the overall value of its use; * Develop and map database architecture of methodological and clinical data systems; * Convert business tasks into meaningful developer Jira tasks for sprints; * Support departmental process improvement initiatives that can include AI; and * Participate in training and development of more junior team members. Qualifications * Master's degree or higher in informatics, computer science/engineering, health information, statistics, or related field required; * 2 or more years of experience as a Data Scientist or closely related; * Experience applying machine learning to pharmaceutical or clinical data (or translatable artificial intelligence [ai] techniques from other industries); * Advanced computer programming skills (preferred language: Python); * Analytical thinker with great attention to detail; * Ability to prioritize multiple projects and tasks within tight timelines; and * Excellent written and verbal communication skills. Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV clinical development services to the biotechnology, pharmaceutical and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 5,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Cincinnati Perks * Cincinnati Campus Overview * Flexible work environment * Competitive PTO packages, starting at 20+ days * Competitive compensation and benefits package * Company-sponsored employee appreciation events * Employee health and wellness initiatives * Community involvement with local nonprofit organizations * Discounts on local sports games, fitness gyms and attractions * Modern, ecofriendly campus with an on-site fitness center * Structured career paths with opportunities for professional growth * Discounted tuition for UC online programs Awards * Named a Top Workplace in 2024 by The Cincinnati Enquirer * Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 * Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps.

What Timken makes possible begins with you. Those who came before us helped land a man on the moon, create the world's infrastructure, and introduce renewable energy alternatives. Now you can join the Timken team to write your own unique story and help drive what's next. A career at Timken means you can have an immediate impact doing Work That Matters to the world- improving the efficiency of today's industrial equipment and preparing for the future of motion on our planet and beyond. New employees can start contributing right away, and there are many opportunities to advance your career at your own pace. Join our global team of 19,000 people in 45 countries and start helping our customers push the limits of what's possible in their world of motion. What We Offer Comprehensive Benefits Package: Medical (including Fertility coverage), Dental, Vision and additional Supplemental Benefits including Pet Insurance, Identify Theft Protection, Legal Assistance and many more We Invest in your Future: 401(k) Savings Plan with company match up to 4.5%, 100% vested in both employee and company-matching contributions, you may also be eligible for additional quarterly company contribution depending on your location State of the Art Facility: Enjoy on-site amenities such as cafeteria, gym, health clinic, walking paths and ergonomic support Work-Life Balance: Timken supports work-life balance through 10 paid holidays, a generous vacation plan and access to our Employee Assistance Program. We also offer Paid Parental Leave up to 12 weeks 100% paid for birth parent and up to 6 weeks 100% paid leave for the non-birth parent and adoptive parents Life-Long Learning: Competitive Educational Reimbursement Program, 24/7 access to thousands of personal and professional online development resources with best-in-class tools, learning offerings, and professional certification courses Purpose: The HR Data Scientist will combine advanced analytics with technical expertise to transform HR data into meaningful insights that drive strategic workforce decisions. This role will not only design predictive and prescriptive models but also partner with data engineering resources to optimize data pipelines, ensure data quality, and support seamless integration of HR data into enterprise data platforms. The position sits within the HR Systems team, ensuring that HR data science is closely aligned with business priorities and future-ready technology initiatives. Responsibilities: Data Architecture & Pipeline Development Prepare, cleanse, and transform HR data for modeling and analytics. Design and maintain reusable HR datasets to support reporting, dashboards, and advanced analytics. Contribute to automation of HR reporting and analytics workflows. Partner with data engineering resources to optimize HR data pipelines and integrations Develop data models and ensure integration of HR data into enterprise-wide reporting and analytics. Implement best practices for data storage, processing, and scalability. Data Quality, Security & Compliance Establish data validation, cleansing, and monitoring processes to ensure accuracy, timeliness, and consistency of HR data. Maintain compliance with global HR regulations (GDPR, CCPA, etc.) and internal audit requirements. Implement and monitor data governance and security standards. Innovation & Enablement Partner with HR and IT teams to identify opportunities for automation, AI enablement, and advanced analytics. Drive innovation by exploring emerging data technologies and recommending adoption strategies. Develop predictive, prescriptive, and statistical models for HR use cases. Provide technical expertise to ensure HR data can be effectively leveraged by analysts, data scientists, and business users. Collaboration & Cross-Functional Support Work closely with HRIS, HR Analytics, and IT to align data strategies and ensure interoperability of systems. Provide technical guidance and function as a subject matter expert on HR data engineering. Support reporting teams by enabling access to curated, trusted HR datasets. Qualifications and Functional Skills: Bachelor's degree in Data Science, Data Engineering, or related field with 5+ years of relative experience. Master's degree preferred, with 3+ years of relative experience. Strong experience with data pipeline development and ETL/ELT processes. Firsthand experience with Azure Data Factory, Azure DevOps (CI/CD pipeline development & deployment), Databricks, and cloud-based data engineering tools. Proficiency in SQL and Python. Knowledge of data modeling, database design, data lakehouse concepts, and data warehousing best practices. Solid understanding of data governance, data quality, and security standards. Familiarity with HR systems and data, ideally SAP SuccessFactors or comparable HCM platforms. Ability to translate HR process knowledge into data engineering solutions. Exposure to Power BI or other business intelligence tools (preferred, not required). Understanding of machine learning techniques (regression, classification, clustering, forecasting). Experience enabling data availability for analytics and reporting teams. Strong analytical and problem-solving capabilities. Ability to translate technical results into business insights. Excellent communication and data storytelling skills for technical and non-technical audiences. Collaborative mindset to work across HR, IT, and enterprise data teams. All qualified applicants shall be treated equally according to their individual qualifications, abilities, experiences, and other employment standards. There will be no discrimination due to gender or gender identity, race, religion, color, national origin, ancestry, age, disability, sexual orientation, veteran/military status, or any other basis protected by applicable law.

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

Here at Lower, we believe homeownership is the key to building wealth, and we're making it easier and more accessible than ever. As a mission-driven fintech, we simplify the home-buying process through cutting-edge technology and a seamless customer experience. With tens of billions in funded home loans and top ratings on Trustpilot (4.8), Google (4.9), and Zillow (4.9), we're a leader in the industry. But what truly sets us apart? Our people. Join us and be part of something bigger. Job Description: We are seeking a Senior Data Engineer to play a key role in building and optimizing our data infrastructure to support business insights and decision-making. In this role, you will design and enhance denormalized analytics tables in Snowflake, build scalable ETL pipelines, and ensure data from diverse sources is transformed into accurate, reliable, and accessible formats. You will collaborate with business and sales stakeholders to gather requirements, partner with developers to ensure critical data is captured at the application level, and optimize existing frameworks for performance and integrity. This role also includes creating robust testing frameworks and documentation to ensure quality and consistency across data pipelines. What you'll do: Data Pipeline Engineering: Design, develop, and optimize high-performance ETL/ELT pipelines using Python, dbt, and Snowflake. Build and manage real-time ingestion pipelines leveraging AWS Lambda and CDC systems. Cloud & Infrastructure: Develop scalable serverless solutions with AWS, adopting event-driven architecture patterns. Manage containerized applications using Docker and infrastructure as code via GitHub Actions. Advanced Data Management: Create sophisticated, multi-layered Snowflake data models optimized for scalability, flexibility, and performance. Integrate and manage APIs for Salesforce, Braze, and various financial systems, emphasizing robust error handling and reliability. Quality Assurance & Operations: Implement robust testing frameworks, data lineage tracking, monitoring, and alerting. Enhance and manage CI/CD pipelines, drive migration to modern orchestration tools (e.g., Dagster, Airflow), and manage multi-environment deployments. Who you are: 5+ years of data engineering experience, ideally with cloud-native architectures. Expert-level Python skills, particularly with pandas, SQLAlchemy, and asynchronous processing. Advanced SQL and Snowflake expertise, including stored procedures, external stages, performance tuning, and complex query optimization. Strong proficiency with dbt, including macro development, testing, and automated deployments. Production-grade Pipeline Experience specifically with Lambda, S3, API Gateway, and IAM. Proven experience with REST APIs, authentication patterns, and handling complex data integrations. Preferred Experience Background in financial services or fintech, particularly loan processing, customer onboarding, or compliance. Experience with real-time streaming platforms like Kafka or Kinesis. Familiarity with Infrastructure as Code tools (Terraform, CloudFormation). Knowledge of BI and data visualization tools (Tableau, Looker, Domo). Container orchestration experience (ECS, Kubernetes). Understanding of data lake architectures and Delta Lake. Technical Skills Programming: Python (expert), SQL (expert), Bash scripting. Cloud: AWS (Lambda, S3, API Gateway, CloudWatch, IAM). Data Warehouse: Snowflake, dimensional modeling, query optimization. ETL/ELT: dbt, pandas, custom Python workflows. DevOps: GitHub Actions, Docker, automated testing. APIs: REST integration, authentication, error handling. Data Formats: JSON, CSV, Parquet, Avro. Version Control: Git, GitHub workflows. What Sets You Apart Systems Thinking: You see the big picture, designing data flows that scale and adapt with the business. Problem Solver: You quickly diagnose and resolve complex data issues across diverse systems and APIs. Quality Advocate: You write comprehensive tests, enforce data quality standards, and proactively prevent data issues. Collaborative: You thrive working alongside analysts, developers, and product teams, ensuring seamless integration and teamwork. Continuous Learner: You actively seek emerging data technologies and best practices to drive innovation. Business Impact: You understand how your data engineering decisions directly influence and drive business outcomes. Benefits & Perks Competitive salary and comprehensive benefits (healthcare, dental, vision, 401k match) Hybrid work environment (primarily remote, with two days a week in downtown Columbus Ohio Professional growth opportunities and internal promotion pathways Collaborative, mission-driven culture recognized as a local and national "best place to work" If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team. Lower provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Privacy Policy

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities * Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs * Bridge scientific research and software engineering, applying expertise in both domains * Collaborate with engineering teams to lead the design and delivery of GenAI products * Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications * Integrate GenAI solutions with enterprise platforms using API-based methods * Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Align ML problem definition with business objectives * Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills * Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Ten years of experience in an individual contributor role in ML engineering * Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms * Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models * Experience integrating GenAI solutions with enterprise platforms via standardized API patterns * Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Excellent grasp of computer science fundamentals and SDLC best practices * Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills * PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray * Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints * Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed * Relocation assistance is not available for this role.

The future of AI - whether in training or evaluation, classical ML or agentic workflows - starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities - from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines - powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems - we'd love to talk. Data Collection Study Moderator - Columbus, Ohio $22/Hour | Up to 29 Hours/Week | 6-Week Assignment Are you organized, personable, and great at working with people? Do you thrive in fast-paced environments where no two days are the same? We're hiring a Data Collection Study Moderator in Columbus, Ohio to help lead our exciting onsite AI training data collection project. This is a fantastic short-term opportunity to gain unique experience while earning competitive pay! What You'll Do As a Data Collection Study Moderator, you will: Guide and direct study participants through data collection sessions Provide clear, friendly instructions to ensure participants feel comfortable and understand each task Coordinate session flow and manage participant schedules throughout the day Work with technical team members capturing images, video, and audio recordings Ensure data quality by monitoring participant actions and providing real-time feedback Maintain a positive, welcoming environment for all participants Help set up and organize props, backgrounds, and equipment as needed Track session progress and maintain accurate records What We're Looking For Must-Have Qualities: Organized - you can manage multiple sessions, schedules, and participants efficiently Reliable - you show up on time, every time, and follow through on commitments Responsible - you take ownership of your role and ensure everything runs smoothly Additional Requirements: Strong interpersonal and communication skills - you're naturally friendly and put people at ease Ability to give clear directions and help participants perform specific actions or movements Experience working with diverse groups of people (all ages and backgrounds) Excellent attention to detail Ability to stay calm and positive in a busy environment Flexibility and adaptability - you can think on your feet Reliable transportation to our Columbus, Ohio location Availability to work up to 39 hours per week for 6 weeks Bonus points for: Previous experience in event coordination, teaching, coaching, or customer service Comfort working with technology and following technical protocols Experience working with children and families What We Offer $22/hour - competitive pay for your time and skills Up to 39 hours per week - substantial earning potential 6-week initial assignment with opportunity for extension based on performance Hands-on experience in AI development and data collection Dynamic, engaging work environment Opportunity to work with cutting-edge technology This role offers a unique behind-the-scenes look at how AI technology is built, and the chance to make a real impact on the quality and diversity of AI training data. About the Role Duration: 6 weeks with strong possibility of extension for high performers Hours: Up to 30 hours per week (schedule may vary based on session demand) Location: Columbus, Ohio (onsite position) Start Date: Immediate or flexible based on availability Ready to lead, engage, and be part of something innovative? Apply today! Important: This is a part time W2 short term contract opportunity with HumanSignal and does not include medical benefits. Demographic Information Disclosure: This research study requires the collection of demographic information (including but not limited to age, gender, ethnicity, and physical characteristics) to ensure appropriate diversity and representation in AI training data. All demographic information collected will be used solely for research purposes and handled in accordance with applicable privacy laws. Participation in this study is completely voluntary, and you have the right to decline participation or withdraw at any time without penalty. By participating, you consent to the collection of this demographic information as part of the study requirements.