Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the Associate will support the U.S. Banks Data Quality Program by driving compliance with the Firm’s Data Quality Policy and procedures, with a focus on BCBS 239 requirements across Risk and Finance. The Associate role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk and Internal Audit. Primary Responsibilities Include: Ensure compliance with the Global Data Quality Policy and BCBS 239 standards for prioritized data domains across U.S. Banks. Partner with the Firm Data Office, Divisional Data Offices, and Technology teams to: Conduct data flow analysis. Assess and monitor data quality controls. Identify data owners and catalog metadata in Collibra. Manage annual re-attestation processes. Define solutions including dashboards, automated communications, and data quality management processes. Partner with project and technology teams to enhance controls and optimize data processes. Develop and maintain dashboards and performance metrics for periodic reporting to management committees and senior leadership. Maintain procedural documentation, including desktop procedures, to support consistent execution. Partner with technology teams to ensure data sourcing from authoritative systems to improve data quality. Communicate project progress, risks, and issues to stakeholders with clarity and consistency. Qualifications Bachelor’s degree in Business, Finance, or a related field. Minimum 2 - 3 years of professional experience, ideally within the financial services industry, with demonstrated expertise in data management, governance, quality, lineage, and issue remediation. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Proven ability to collaborate across functions and manage multiple priorities in a fast-paced, Agile environment. Strong Attention to detail and the ability to handle, prioritize multiple tasks and projects concurrently. Highly motivated / self-starter with a sense of accountability & ownership, willingness to learn, and ability to work independently. Excellent written and verbal communication skills. Experience performing business analysis, writing business requirement document, and creating mock dashboards. The ability to work effectively within a local and global team, as well as independently. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $58,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: We are looking for an experienced ETL Engineer to join our Data Engineering team. The ideal candidate will have a strong understanding of ETL processes and technologies, as well as experience with a variety of data sources. The ETL developer will be responsible for designing, developing, and maintaining ETL pipelines that extract, transform, and load data into our data warehouse. As a member of the Data Analytics team, you will provide meaningful firm-wide contributions that uphold the team’s dedication to “One Crowe”. We strive for an unparalleled client experience and look to you to promote our success. Additionally, you will work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Identify & map source data in various commercial and custom systems Design, develop, test and maintain ETL pipelines Extract, transform, and load data from a variety of data sources Work with data engineers and other stakeholders to define data requirements Troubleshoot and debug ETL pipelines Stay up-to-date on ETL technologies and best practices Formulate development estimates (task, effort, dependencies, etc.) Develop test cases and demonstrate results for assigned deliverables. Maintain and present daily/weekly status Articulate project deliverable details and activities to client and project team members Adapt to various industries and quickly learn the client’s context, language, and jargon to clearly document and translate business requirements to development plans Maintain a professional presence and be ready to interact with the client at all times Qualifications Bachelor's degree in computer science, information technology, or a related field 3+ years of experience in ETL development Hands on experience with Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements. Previous consulting experience or experience working with external clients Strong understanding of ETL processes and technologies Experience with a variety of data sources, including relational databases, flat files, and web APIs Experience with Python, Java, or another programming language Experience with data warehouse technologies, such as Azure, AWS, and Snowflake Excellent problem-solving and debugging skills Strong communication and teamwork skills Solid understanding of software development life cycle models as well as expert knowledge of both Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment Technical background, with understanding or hands-on experience in enterprise solutions for different industries High-level knowledge of BI architecture or data warehousing Excellent written and verbal communication skills Effectively managing multiple deliverables, clients and projects in a fast-paced environment Strong problem solving and analytical skills Certifications (Preferred) Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner). Key Stakeholders This Role Interacts With: Internal Senior BI Analyst Data Product Manager BI Architect / Senior Architect Data Engineers Report Developer (Power BI, Tableau) External C-Suite executives, business leaders, and department heads Data Owners, Data Stewards Enterprise Information Management and Data Governance Team IT Staff – Architects, DBAs, Developers, etc We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $104,500.00 - $208,300.00 per year. Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world. Crowe LLP 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, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws. Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge. Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

Senior Data Analyst At Current, we’re on a mission to enable our members to create better financial outcomes for themselves. Headquartered in NYC, we’re a leading U.S. fintech and one of the fastest growing companies with over million members. No matter your title, we welcome everyone to build great products, grow quickly, and make an impact together. ABOUT THE ROLE We are looking for a Senior Data Analyst with experience in B2C/DTC Member Experience or Customer Success. In this role, you will use data to drive strategic decisions, improve business performance, and enhance our customer interactions to create a seamless user experience. You will use advanced analytics to find trends, evaluate performance, and deliver strategic insights that facilitate data-driven decision-making within the Member Experience team and across the organization. The ideal candidate has a deep understanding of customer behavior, a passion for data-driven decision-making, and a proven ability to translate insights into actionable strategies. RESPONSIBILITIES Analyze member experience data to identify trends, pain points, and opportunities for operational efficiency. Develop and maintain data pipelines, dashboards and reports to track key performance indicators (KPIs) that tie customer success effectiveness, member satisfaction, and engagement to business bottomline metrics. Utilize internal and third-party data to conduct in-depth analyses, identify gaps, mitigate friction and pain points, and optimize customer interaction across channels. Partner with cross-functional teams, including Product, Engineering, and Customer Success, and leverage such techniques as A/B testing and customer segmentation to enhance personalization and support strategies. Provide actionable insights to leadership on customer outreach behavior, support efficiency and satisfaction, and areas for innovation. Ensure data integrity, accuracy, and governance in analytics pipelines across multiple customer interaction channels. Participate in on-call rotation to support production analytics data pipelines. Mentor junior analysts and contribute to a data-driven culture within the team. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a customer-centric industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience building reports and dashboards using data visualization tools such as Tableau, Looker, or Power BI. Expertise in customer support analytics, customer satisfaction score (CSAT) analysis, and operational efficiency metrics. Experience in A/B testing, customer segmentation, and deep dive analysis in the context of informing business strategies from user behaviors. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Strong project ownership and the ability to drive requirement gathering and prioritization. Experience with CRM systems (e.g., Zendesk) and customer feedback tools is a plus. Experience within the startup space is advantageous. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and 30,000 dealerships use our products. But they're not the only ones who love CarGurus-our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Job Overview: The Senior Data Engineer, Data Governance will be responsible for architecting, operationalizing, and optimizing the enterprise data governance framework. This role involves the deployment and configuration of data governance tools, implementation of automated data quality validation workflows, integration of metadata management platforms (e.g., data catalogs, lineage tools), and enforcement of data stewardship policies via role-based access controls and policy engines. You will collaborate closely with data architects, engineers, data analysts, and business teams to maintain high standards of data integrity, security, and accessibility. What you'll do: Data Governance Framework: Develop and implement a robust data governance framework aligned with industry best practices and company requirements. Data Quality Management: Build tools and/or APIs to automate data quality monitoring and reporting, ensuring that data is accurate, complete, and consistent across the organization. Data Stewardship: Act as a key advocate for data stewardship, working with business and technical teams to promote accountability for data quality and management. Metadata Management: Build tools and/or APIs to automate metadata management, ensuring the accurate capture and categorization of data assets. Compliance & Security: Ensure that data governance policies comply with relevant laws, regulations (e.g., GDPR, CCPA), and industry standards. Promote data privacy best practices and work with legal and compliance teams. Data Lineage: Develop and maintain data lineage models or build tools to automatically map how data flows through systems, ensuring transparency and traceability. Enhance out of the box lineage tools where necessary. Collaboration & Training: Work closely with stakeholders across departments to establish data governance policies, provide training on data standards, and promote awareness of governance tools and practices. Continuous Improvement: Continuously assess and enhance the data governance framework to adapt to new business needs, technologies, and regulatory requirements. Documentation & Reporting: Create and maintain comprehensive documentation for data governance processes, guidelines, and policies. Provide regular reports on governance activities and data health metrics to leadership. What you'll bring: Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field (or equivalent experience). 3+ years of experience in data governance, data management, or a related field. Proficiency in Python or similar languages widely used in the data engineering community Experience with data quality management tools (e.g., Monte Carlo, Metaplane) Familiarity with data governance tools (e.g., Alation, Atlan, data.world, Secoda). Knowledge of data privacy regulations (GDPR, CCPA, etc.) and compliance best practices. Proficiency in data modeling, data lineage, and data classification and familiarity with Snowflake, dbt and Looker Experience with cloud platforms (AWS, Azure, GCP) and data integration tools (Fivetran, data pipelines). Strong problem-solving skills and ability to collaborate with cross-functional teams. Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders. Attention to detail and a passion for maintaining high-quality data. The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles. Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training. This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs). Position Pay Range $125,000-$157,000 USD Working at CarGurus We reward our Gurus' curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential-starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That's why we hope you'll apply even if you don't check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

Red Hat's Global Sales Go-To-Market Strategy, Incentives & Data Analytics organization is seeking a Principal Data Engineer to work with a high degree of autonomy to lead the integration, automation, and optimization of complex data solutions. In this role, you will move beyond simple execution to provide technical leadership in data massaging, reconciliation, and architectural design. You will be responsible for building robust data pipelines, ensuring data governance, and collaborating with cross-functional teams to deliver high-quality data products that drive business decisions. What will you do? Advanced SQL Development: Write complex, highly optimized SQL queries across large datasets. You will be the subject matter expert for SQL query tuning and providing performance recommendations to the wider team. Python Automation: utilize advanced Python proficiency (including libraries such as Pandas and NumPy) to clean, massage, and merge raw datasets, automating complex data extraction and loading processes. Pipeline Orchestration: Design, schedule, and monitor robust data pipelines using tools like Airflow. You will take ownership of debugging workflows and resolving performance bottlenecks. Data Stewardship: Act as a guardian of data integrity. This includes leading initiatives on data governance, compliance, transformation, and validation audits. Automated Testing & CI/CD: Develop and maintain automated unit, end-to-end, and integration tests to ensure data accuracy. Participate actively in version control (Git) and CI/CD processes for deploying pipeline changes across environments. Cross-Functional Leadership: Partner with Analysts, Engineers, and Operations teams to understand data needs and ensure data accessibility for business stakeholders from the finance and operations organizations. Problem Solving: Apply strong analytical skills to translate complex algorithms into efficient software solutions, converting raw data into actionable insights by identifying trends, outliers, and distributions. What will you bring? Experience: 5+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in an enterprise environment with large, complex data sources. Education: Master's degree in Computer Science, IT, Engineering, or equivalent experience. Expert SQL: Deep expertise in relational databases (PostgreSQL, MSSQL, etc.) and query optimization. Expert Python: Strong programming skills for data querying, cleaning, and presentation, with hands-on experience in data-centric libraries. Modern Stack Experience: Working knowledge of DBT (Data Build Tool) and Snowflake data warehousing is highly desirable. ELT/ETL Tools: Experience with Fivetran or similar integration tools. Autonomy: Ability to manage multiple projects simultaneously in a fast-paced, distributed team environment across different time zones and cultures. Troubleshooting: Exceptional logic and reasoning skills to troubleshoot complex data issues. Planning: Ability to think strategically about data architecture and project planning. #Li-NG1 The salary range for this position is $120,720.00 - $199,120.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Functions will include planning/managing project deliverables, problem solving, day-to-day oversight of team project deliverables and giving direction on data analytics products, quality of care measures, and visual analytics. Development and implementation of master data management or advanced data analytics solutions will be required. This includes providing direction for the solution, ensuring data quality, and oversight of the analytics solution. This is not a direct-report supervisor position requiring human resource performance oversight. However, this role will lead a team of five to ten analysts/developers with responsibility of quality project delivery on time and within budget. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Manage the Enterprise Data Warehouse data analytics and master data management projects Lead as a functional/business specialist or subject matter between the customer business team and technical project teams with emphasis on master data management and data analytics Serve as a key resource on complex and/or critical issues Support in meeting the Management by Business Objectives (MBOs) to achieve employee experience, customer loyalty, financial/revenue growth, and innovation goals Review work performed by others; provide recommendations for improvement Forecast and plan resource requirements Authorize deviations from standards Lead functional or segment teams with motivation and inspiration Provide explanations and information to others on complex issues Manage customer relationships and anticipate customer needs to proactively develop solutions Support growth to the project/program Work with end users/customers to understand and develop requirement Organize and lead project related meetings with customers, development staff, and sponsor level staff Lead to deliver the project/contractual requirements and actively manage project triple constraints, and risks/issues and action items to manage the needs of the stakeholders Communicate effectively, verbally and in writing, with programmers, analysts, immediate supervisor, management, system users, operations, other State agencies and the private sector Meet with users for clarification and elaboration as necessary to clearly define a problem and conceptualize a development plan Recognize, gather, correlate, and analyze facts, draw conclusions, define problems, and devise solutions and alternatives; and make appropriate recommendations You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 5+ years of project manager experience for data analytics/reporting projects, especially with project scheduling, scope, resources, risk/issues management, communication, and stakeholders' management 3+ years of business experience working/leading projects with healthcare analytics and reporting in a multi-vendor environment Experience leading complex and demanding DDI projects with Business Intelligence/Data Analytics for decision support systems Solid technology background with knowledge/experience in large DBMS, data, ETL, BI tools Proven client-facing skills, excellent written, verbal communication skills, and presentation skills to executive teams Proven solid project/program management experience applying PMI knowledge area, and performance domains effectively managing project triple constraints, resources, risks, and issues Preferred Qualifications: PMI Project Management Professional certified or Certified Business Intelligence Professional (CBIP) certification 5+ years of data warehousing experience 5+ years of experience with commercial or public healthcare insurance Experience with infrastructure management Experience or knowledge of Tableau, PowerBI, Teradata/IntelliFlex, Informatica MDM, Verato, SAP Business Objects, JIRA, MS Project, or SAS Experience with Agile methodology, Scrum framework, and Agile/Scrum projects Experience with Cloud based technology such as MS Azure, Snowflake database, Python, Azure Data Factory, Data Bricks, et al. Experience with data streaming, data analytics platform Experience managing a contract for a program valued at $5 million in revenue or greater Experience with managing complex application development projects with 10 or more resources, especially with Cloud based implementations Experience managing customer relationships and stakeholder management State Medicaid Data Warehouse or Medicaid Management Information Systems experience Solid understanding of Medicaid Program including Program management, Program Integrity, and Federal Reporting (such as T-MSIS, MARS, and HEDIS/Quality of Care measures or equivalent projects) Local to Springfield, IL area or in driving distance to come to State office based on customer need (around 20% travel to Springfield, IL) All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $110,200 to $188,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

What if you could build a career where ambition meets innovation? At LPL Financial, we empower professionals to shape their success while helping clients pursue their financial goals with confidence. What if you could have access to cutting-edge resources, a collaborative environment, and the freedom to make an impact? If you're ready to take the next step, discover what's possible with LPL Financial. Job Overview: This role bridges business strategy, data governance, and technology delivery, ensuring our advisor platform has accurate, governed, and high-quality participant and party data across systems. The ideal candidate combines product ownership expertise, data governance acumen, and technical literacy, enabling them to translate business needs into scalable, governed data solutions that power client and advisor experiences. Responsibilities: Own the vision, strategy, and roadmap for Participant/Party SOR capabilities and integrations across the advisor platform. Collaborate with business, data, and technology stakeholders to ensure alignment on goals, requirements, and governance principles. Serve as liaison to Commonwealth and future M&A integration teams for metadata documentation, data quality, and lineage validation. Write and manage epics, stories, and acceptance criteria in Jira, ensuring traceability between business and technical requirements. Define and maintain data governance standards, including quality rules, scorecards, and SOR documentation in Confluence. Oversee data profiling, lineage analysis, and validation to ensure integrity across source and target systems. Lead and mentor team members in agile practices, sprint planning, and continuous improvement. Monitor and communicate project progress, risks, and dependencies, driving resolution and stakeholder transparency. Advocate for customer-centric, data-driven decision-making and continuous improvement of data quality and usability. Requirements: Bachelor's degree in related field (advanced degree preferred). Minimum of 7 years in data-centric product ownership, data management, or governance roles within financial services or fintech. Minimum of 5 plus year experience with SQL, data modeling (star/snowflake), and data governance tools. Minimum of 5 plus years experience translating complex data concepts into business value and vice versa. Preferred Skills: Experience with AWS, Snowflake, and data pipeline transformations. Background in wealth management or financial advisory services. Familiarity with API-based & Kafka integrations, and CRM data flows. Proficiency in Tableau, Power BI or other visualization tools. Proven ability to mentor team members and drive a culture of collaboration and governance excellence. Core Competencies Deep understanding of CRM party data architecture, data integration, and systems of record (SOR). Hands-on experience in agile delivery, Jira, and Confluence. Strong analytical, communication, and stakeholder management skills. Experience in Product Ownership, Analytical Thinking & Problem Solving, Communication & Leadership, and a Continuous Improvement Mindset Technical Acumen (SQL, Data Models, APIs) Pay Range: $106,088-$176,813/year Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer! Company Overview: LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients. For further information about LPL, please visit www.lpl.com. Join LPL Financial: Where Your Potential Meets Opportunity At LPL Financial, we believe that everyone deserves objective financial guidance. As the nation's leading independent broker-dealer, we offer an integrated platform of cutting-edge technology, brokerage, and investment advisor services. Why LPL? Innovative Environment: We foster creativity and growth, providing a supportive and responsive leadership team. Learn more about our leadership team here! Limitless Career Potential: Your career at LPL has no limits, only amazing potential. Learn more about our careers here! Unified Mission: We are one team on one mission-taking care of our advisors so they can take care of their clients. Learn more about our mission and values here! Impactful Work: Our size is just right for you to make a real impact. Learn more here! Commitment to Equality: We support workplace equality and embrace diverse perspectives and backgrounds. Learn more here! Community Focus: We care for our communities and encourage our employees to do the same. Learn more here! Benefits and Total Rewards: Our Total Rewards package goes beyond just compensation and insurance. It includes a mix of traditional and unique benefits, perks, and resources designed to enhance your life both at work and at home. Learn more here! Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE. Information on Interviews: LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947. EAC12.9.25

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Strong foundational knowledge and experience in statistics, probability, and experimental design. Experience applying data governance concepts and techniques to assure greater data quality and reliability. Hands-on experience with Python, SQL, and modern ML frameworks. Strong understanding of best practices and techniques to support data and AI products across their entire lifecycle. Knowledge of generative AI and large language models (LLMs) for enterprise use cases. The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Experience with MLOps and CI/CD pipelines for AI/ML deployment. Demonstrated work experience within the public sector. Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. Advanced Degree (Master's or Ph.D.) in Data Science, Computer Science, AI, or related field. Experience with API development and integration for data services. Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics. #LI-DNI The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Note: We are not offering sponsorship for this role. Is the opportunity to join a culture where "We Do the Right Thing," and "We Courageously Shape Our Future Together" important to you? If so, Guardian is seeking a resolute motivated individual to join our team as a Data Scientist/Senior Data Engineer- Finance Transformation. Guardian is seeking a technically skilled and business-savvy Technical Analyst / Data Engineer to design, develop, and support advanced actuarial and financial applications. This role will play a critical part in transforming our actuarial and finance functions by building scalable data pipelines, dashboards, and machine learning models that enhance decision-making and operational efficiency. You will work closely with Actuarial, Finance, Data Science, and Technology teams to deliver solutions used in reserving, pricing, predictive analytics, and financial reporting. You will: Machine Learning, Engineering & Analytics Development Build and optimize large-scale data pipelines using PySpark, SQL, and Python on cloud platforms such as Databricks and AWS Utilizing advanced statistical and AI/ML techniques to develop, deploy, and support predictive models and actuarial tools used for reserving, pricing, and FP&A (e.g., claims projection model, LTD Reserving model) Automate manual actuarial/finance processes by integrating coding workflows with structured datasets and business logic Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets Identification of source data and data quality checks both in model/solution development and in production Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Data Integration & Validation Work across data domains to ingest, cleanse, and structure financial and actuarial datasets from multiple sources (e.g., Claims systems, Billing and Commissions system) Implement robust data quality checks and reconciliation controls to ensure accuracy and completeness of critical reporting and modeling datasets Collaboration & Documentation Collaborate with actuaries, finance SMEs, and business analysts to translate complex requirements into efficient technical designs. Maintain clear documentation for code, data flows, model logic, and user instructions. You have Technical Expertise & Domain Knowledge 6-8 years in a data engineering, actuarial modeling, or analytics-focused technical role, ideally in Group insurance or Financial services 2+ years of hands-on ML modeling/development experience Solid understanding of data analysis and statistical modeling. Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. Demonstrated track records in experimental design and executions Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions Strong programming skills in Python Solid background in algorithms and a range of ML models Working knowledge of Pricing and actuarial processes, or Group insurance product structures Proficiency in Python, PySpark, and SQL is essential Experience working with Databricks, Tableau, Power BI, or similar visualization and cloud platform Exposure to ML/AI libraries and framework to develop or enhance models Soft Skills Analytical mindset with strong attention to detail Self-starter who thrives in fast-paced, cross-functional teams Education Bachelor's or Master's degree in Computer Science, Actuarial Science, Mathematics, Engineering, Finance, or a related discipline or equivalent experience. Preferred Qualifications Hands-on experience building valuation, reserving, or pricing models for group insurance products Experience in agile or SAFe environments with sprint planning, Jira, or Confluence Strategic and creative thinker with ability to think outside the box and translate strategies into actions Excellent problem-solving skills Team player with proven ability to foster and manage working relationships within a matrix environment Candidate must be comfortable with ambiguity in strategic direction. Priorities will change as current uncertainties become new standards and shape the market. There must be constant balance between proactive and reactive strategy and execution. Candidate must work well in a collaborative and diverse team environment, understanding and employing the approach and standard operating procedures of all functional areas across Guardian Excellent oral and written communication skills Location: Hybrid role- 3 days in a Guardian office located in Holmdel, NJ; Bethlehem PA; or Hudson Yards, NYC. 2 days WFH. 10% Travel to other offices as determined by the People Leader Salary Range: $99,150.00 - $162,885.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. Visa Sponsorship Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the Associate will support the U.S. Banks Data Quality Program by driving compliance with the Firm's Data Quality Policy and procedures, with a focus on BCBS 239 requirements across Risk and Finance. The Associate role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk and Internal Audit. Primary Responsibilities Include: Ensure compliance with the Global Data Quality Policy and BCBS 239 standards for prioritized data domains across U.S. Banks. Partner with the Firm Data Office, Divisional Data Offices, and Technology teams to: Conduct data flow analysis. Assess and monitor data quality controls. Identify data owners and catalog metadata in Collibra. Manage annual re-attestation processes. Define solutions including dashboards, automated communications, and data quality management processes. Partner with project and technology teams to enhance controls and optimize data processes. Develop and maintain dashboards and performance metrics for periodic reporting to management committees and senior leadership. Maintain procedural documentation, including desktop procedures, to support consistent execution. Partner with technology teams to ensure data sourcing from authoritative systems to improve data quality. Communicate project progress, risks, and issues to stakeholders with clarity and consistency. Qualifications Bachelor's degree in Business, Finance, or a related field. Minimum 2 - 3 years of professional experience, ideally within the financial services industry, with demonstrated expertise in data management, governance, quality, lineage, and issue remediation. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Proven ability to collaborate across functions and manage multiple priorities in a fast-paced, Agile environment. Strong Attention to detail and the ability to handle, prioritize multiple tasks and projects concurrently. Highly motivated / self-starter with a sense of accountability & ownership, willingness to learn, and ability to work independently. Excellent written and verbal communication skills. Experience performing business analysis, writing business requirement document, and creating mock dashboards. The ability to work effectively within a local and global team, as well as independently. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $58,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities Works with team and manager to impact longer term strategies and roadmap Sets shorter term roadmap for team Interacts and collaborates closely with data and business counterparts across functional areas Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses Compliance with all applicable laws and regulations Other duties as assigned Qualifications 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries Travel Up to 5% This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist- AI/ML to help advance AI/ML for Drug Discovery and Development. The primary location for this position is USA (Spring House PA, New Brunswick NJ, Titusville NJ). At Johnson & Johnson Innovative Medicine, we are working to create a world without disease-transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it. The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Senior Principal Scientist who will work at the intersection of AI/ML and Life Science. Key Responsibilities: Conceive, develop, and deploy AI/ML models for applications such as multimodal biology, molecular property prediction, drug safety, generative molecule design, and AI-driven experimental design. Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications Manage and mentor junior scientists and lead/manage project initiation and execution Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams Extensive hands-on coding and actively contribute to platform development Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences Qualifications Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or related field, with at least four years of post-graduate experience. Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals e.g. ICML, ICLR, AAAI, NeurIPS, CVPR etc, awards, patents, white papers) Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow Extensive experience with one or more AI/ML fields including Generative Modeling/Geometric Deep Learning/Computer Vision/LLM/Bayesian Optimization / Bayesian Deep Learning / Causal AI etc Extensive experience and familiarity with drug discovery and clinical development processes Demonstrated proficiency in working with Foundation Models and Generative Modeling techniques Excellent written and verbal communication skills Ability to work independently and as part of a team Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus Training Opportunities: Gain experience working in the pharmaceutical industry Navigate and work within a matrix environment Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $137,000 - $235,750 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. § Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). § Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

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. Organizational & Position Overview: The Bioproduct Research & Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences: Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications 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 ( https://careers.lilly.com/us/en/workplace-accommodation ) 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), enAble (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 $126,000 - $244,200 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

Who We Are At Corebridge Financial, we believe action is everything. That's why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who You'll Work With The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles. About The Role We are seeking a highly skilled Salesforce Data Integration Engineer / Architect to design, implement, and optimize integration solutions that connect Salesforce with enterprise systems, data warehouses, and third-party applications. The role combines technical expertise in integration patterns with architectural vision to ensure secure, scalable, and high-performance data flows across platforms. You will design, build, and maintains seamless data flow between Salesforce and other systems, ensuring data quality, security, and accessibility. The candidate will be part of the Information management organization responsible developing integration solutions using Salesforce APIs, creating ETL pipelines for data migration, troubleshooting issues, and collaborating with cross-functional teams to meet business data needs. Responsibilities As a Leader, you are respected for your deep technical expertise and/or ability to oversee programs and processes. You balance the needs of multiple stakeholders, making sound decisions using data, analysis, experience, and judgment, along with a risk mindset. Ultimately, you take ownership for key outcomes. Responsibilities: Architecture & Design Design scalable data integration architecture between Salesforce (Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, AgentForce etc) and external systems. Define integration patterns (real-time, batch, event-driven, API-led, ETL) and select the appropriate approach per use case. Establish data governance, security, and compliance standards for data movement. Recommend middleware or integration platforms. Implementation Build, configure, and maintain integrations using REST/SOAP APIs, ETL tools, or custom solutions. Develop data pipelines for ingesting, transforming, and synchronizing Salesforce data with on-premises or cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Implement event-driven integrations using Salesforce Platform Events, Change Data Capture, or Streaming APIs. Optimize data flows for performance, error handling, retry logic, and resiliency. Data Management Define data models, mapping, and transformations between Salesforce and other systems. Ensure high-quality, clean, and consistent data across environments. Manage large-scale data migrations into and out of Salesforce, including validation, deduplication, and reconciliation. Monitor data pipelines and integrations for performance, availability, and compliance. Collaboration & Leadership Partner with Salesforce administrators, developers, business analysts, and enterprise architects to align integration design with business needs. Provide technical leadership and mentoring to integration developers or data engineers. Participate in code reviews, solution design sessions, and technical workshops. Document integration architecture, data flows, and technical standards. Skills and Qualifications The position calls for a seasoned IT professional with senior leadership qualities and background with 10+ years' experience in IT. 10+ years of experience of salesforce integration work. 5 + years of experience in delivering enterprise-level data integration projects. 5 + years of experience with cloud platforms AWS, Azure. Salesforce + integration platform certifications strongly recommended. Bachelor's degree in Information Technology or related field preferred, or equivalent work experience. 10+ years of experience in the IT Industry. Technical Expertise Strong hands-on experience with Salesforce APIs (REST, SOAP, Bulk, Streaming, Metadata APIs). Strong hands-on experience on Salesforce cloud applications like Service cloud, Experience cloud, Marketing Cloud, Data cloud. Experience with Salesforce AgentForce platform. Strong hands-on experience with Tableau as BI Platform to architect BI solutions on Salesforce ecosystem apps and third party data outside of salesforce. Proficiency with integration/middleware platforms (AWS API Gateway, MuleSoft). Experience with ETL/ELT processes and data pipeline development. Proficiency in SQL and working with relational databases (Oracle, SQL Server, PostgreSQL). Experience with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake). Architecture Skills Ability to define integration architecture patterns (real-time sync, batch, event-driven, microservices-based). Understanding of API management, versioning, throttling, and security (OAuth, SAML, JWT, TLS). Knowledge of data governance, security, and compliance (GDPR, HIPAA, SOC2). Other Competencies Strong problem-solving and debugging skills. Experience with Agile/Scrum delivery. Excellent documentation and communication skills. Strong SQL skills and experience working with relational/dimensional databases (e.g., Oracle, SQL Server, Snowflake) and no-SQL databases like Cassandra/AWS Dynamo DB. Familiarity with data warehousing concepts and ETL processes Compensation The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications. In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan. Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below. Work Location This position is based in Corebridge Financial's Houston, TX, Woodland Hills, CA, or Jersey City, NJ office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely. Estimated Travel May include up to 25%. #LI-SAFG #LI-CW1 #LI-Hybrid Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. Employee Assistance Program: Confidential counseling services and resources are available to all employees. Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives. Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com. Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law. We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: www.corebridgefinancial.com Functional Area: IT - Information Technology Estimated Travel Percentage (%): Relocation Provided: American General Life Insurance Company

FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today! The Data Analyst, Master Data Management will report to the Manager of Transactional Operations MDM and will be tasked with assisting with initiative and projects of data collection, clean up, publication and data quality. This individual will be responsible for establishing data quality, capturing requirements, Supplier onboarding including Score Card reviews. Additionally, this person will assist the MDM team as required on special projects, iSeries updates and various data management workloads as assigned. The selected Analyst, Master Data Management will use sound analytical, problem solving and troubleshooting skills to resolve issues and data related changes. They will be required to establish working relationship with our Suppliers and maintain connections both with our customers internally and externally to FleetPride. The Analyst will be working in a fast-paced environment and handle multiple tasks under tight deadlines. Responsibilities Establish working relationships with assigned Suppliers, create score cards and deliver month via online meetings to discuss metrics and specifics around missing data and enrichment opportunities. Work with Category Managers to onboard new products using MVP Smartsheet to create new SKUs in MDM Work with Category Managers and associated Suppliers to receive and research product data as needed to ensure fully attributes SKUs are available for downstream consumption. Work Service Now tickets as assigned in a timely fashion according to setup SALS established ensuring a proper resolution for all parties. Work collaboratively in a team environment Ability to think on their own and put effort into researching and finding the answers to resolve data related issues. Maintain and updates SKU and Location data as needed in IBM iSeries IS400 mainframe system. Identify and correct data errors including accurate costing, and location data in iSeries IS400. Collect and gather digital assets, images, PDFs and Safety data sheets for SKUs in the system and assign appropriately Skills Previous experience with quality control on product data and improvement programs Prior experience in Stibo STEP Master Data Management or similar MDM software Ability to create and analyze reports and data metrics. Proficient with Microsoft Office (Word, PowerPoint, Excel, Access, Outlook) and other statistical software Ability to write Excel formulas to manipulate data as needed. Intermediate knowledge of SQL, AS400 Attributes We believe the most productive teams are those that: Do work that interests, challenges, and professionally develops them Do things that contribute to the success of the company and team Like and respect the team members they work alongside every day As a result, we hire for Culture First, and are looking for candidates who possess the following: Action oriented, self-motivated, self-starter with a solution-oriented mindset Curious, innovative, and creative Glass half full optimism Natural problem solver, not afraid to ask questions and adept at learning new things rapidly Humble Leadership / Team Oriented Operates from the position of "do what's best for the business and team" Qualifications High School Diploma or GED Associate's preferred 1 to 2 years of relevant work experience in a B2B data management/PIM/MDM role Working knowledge of Product Information Management, Digital asset management, Governance best practices Previous AS400 inventory database experience preferred. This job description in no way states or implies that these are the only duties to be performed by this employee. He or she will be required to follow any other instructions and to perform any other duties requested by his or her supervisor. FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions. 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.

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration - because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm, and every member feels valued. This IT Data Analyst should have a background of Business, Systems, and Data Analysis. The role will involve working with the product owner to understand the business request and product need, perform detailed analysis of the requirements and data and creating user stories that will result in the data outcomes required. This position combines business process and data knowledge with experience in information technology to enable and improve business capabilities. Responsible for performing detailed data requirements analysis, documenting processes, and performing some user acceptance testing. To succeed in this role, you should have a natural analytical way of thinking and be able to explain difficult concepts to non-technical users. Performs other duties as assigned. Key Accountabilities Evaluating business processes, anticipating requirements, identifying areas for improvement, and developing and implementing solutions using data analysis and data profiling Gathering critical information from multiple stakeholders to specify and validate business reporting or data extracts using data mapping and data quality techniques Establishing accurate data definitions and producing audience appropriate data models for the business or project domain. Coordinating and assisting developers and QA analysts to ensure data is accurately recorded and used Understand requirements and identify non-functional requirements that will impact the data design Decompose Product Features into User Stories Actively engaged as core member of scrum teams to deliver on data programs\projects Work with ETL and QA to ensure all requirements are met by the solution. Work with DBA's to tune performance Create and maintain source to target mapping documents Conducting meetings and presentations to share ideas and findings Performing requirements analysis Documenting and communicating the results of your efforts Effectively communicating insights and plans to cross-functional team members and management Working closely with clients, technicians, and managerial staff Providing leadership, training, coaching, and guidance to junior staff Ensuring solutions meet business needs and requirements Managing projects, developing project plans, and monitoring performance Prioritizing initiatives based on business needs and requirements Serving as a liaison between stakeholders and users Required Qualifications Bachelor's degree in computer science or equivalent experience in related field 5 years of experience in software development and database applications with a majority of this experience in data strategy, sourcing, modeling, integration, and architecture Preferred Qualifications Strong knowledge of SQL and query tools 3+ years of Erwin tool experience Experience in health care payer domain Experience in data analysis, data profiling, data mapping, and data quality Understanding of logical, physical, dimensional or relational data models; ERwin experience is desired Experience working with data warehouses and data marts Experience in ETL, reporting and analytics, or business intelligence tools is nice to have Skills and Abilities Strong analytical and conceptual thinking skills Influencing stakeholders and work closely with them to determine acceptable solutions Familiarity with technology and data management principles. Excellent documentation skills Fundamental analytical and conceptual thinking skills Experience creating detailed reports and giving presentations A track record of following through on commitments Planning, organizational, and time management skills This position is an Office role, which requires an employee to work onsite, at our Minnetonka, MN office on average, 3 days per week. The full salary grade for this position is $100,300 - $172,000. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $100,300 - $150,465. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to base compensation, this position may be eligible for incentive plan compensation in addition to base salary. Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees. The compensation and benefits information is provided as of the date of this posting. Medica's compensation and benefits are subject to change at any time, with or without notice, subject to applicable law. Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States. We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist- AI/ML to help advance AI/ML for Drug Discovery and Development. The primary location for this position is USA (Spring House PA, New Brunswick NJ, Titusville NJ). At Johnson & Johnson Innovative Medicine, we are working to create a world without disease-transforming lives by finding new and better ways to prevent, intercept, treat and cure disease. We bring together the best minds and pursue the most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it. The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Senior Principal Scientist who will work at the intersection of AI/ML and Life Science. Key Responsibilities: Conceive, develop, and deploy AI/ML models for applications such as multimodal biology, molecular property prediction, drug safety, generative molecule design, and AI-driven experimental design. Work closely with a cross disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications Manage and mentor junior scientists and lead/manage project initiation and execution Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams Extensive hands-on coding and actively contribute to platform development Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences Qualifications Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or related field, with at least four years of post-graduate experience. Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals e.g. ICML, ICLR, AAAI, NeurIPS, CVPR etc, awards, patents, white papers) Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow Extensive experience with one or more AI/ML fields including Generative Modeling/Geometric Deep Learning/Computer Vision/LLM/Bayesian Optimization / Bayesian Deep Learning / Causal AI etc Extensive experience and familiarity with drug discovery and clinical development processes Demonstrated proficiency in working with Foundation Models and Generative Modeling techniques Excellent written and verbal communication skills Ability to work independently and as part of a team Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus Training Opportunities: Gain experience working in the pharmaceutical industry Navigate and work within a matrix environment Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $137,000 - $235,750 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. § Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). § Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasets Advocating for adopting industry tools and practices at the right time Owning core SQL and Python data pipelines that power our data lake and data warehouse Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 2+ years of dedicated data engineering experience, solving complex data pipeline issues at scale. You have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. [Nice to have] You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks [Nice to have] You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka. The target base salary for this position ranges from $163,200/year to $223,200/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties Establish Data Environments, and serve as the data visualization subject matter expert. Create and translate trend, time-series, and predictive analyses, and facilitate statkeholder decision-making technical exchange meetings. Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully. Qualifications Current TS/SCI with Poly is required. Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with Programming languages like Python, Java, SQL and Cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired Skills: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Have experience working in Agile and DevOps environments.