• Own the strategy, execution, and impact of Data Science across product, marketing, and forecasting. • Set direction for how the team supports product development, experimentation, lifecycle, growth, and business decision-making. • Ensure focus on the highest-value problems across Product, Marketing, Care, and B2B, tied to member and business outcomes. • Establish high standards across experimentation, causal inference, modeling, forecasting, segmentation, and statistical rigor. • Raise quality in hypotheses, metrics, experiment design, model evaluation, and decision recommendations. • Build durable review mechanisms and operating standards to ensure work is sound, interpretable, and decision-ready. • Lead product analytics to shape how user behavior is understood across acquisition, engagement, retention, and care journeys. • Strengthen data foundations including instrumentation, telemetry quality, validation, and experimentation readiness. • Partner cross-functionally to define measurement strategies that demonstrate care impact, outcomes, and ROI. • Build and lead a high-performing team by developing leaders, raising the talent bar, and leveraging AI to improve productivity and insight generation.

• Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics • Perform strategic analysis and research to identify new opportunities where business can be improved • Create data visualizations to translate analytic results for broad understanding across the business • Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the payments team

Role Description The Lead Data Scientist independently applies advanced data science and AI (DS/AI) techniques to solve complex problems and drive business outcomes within McGraw Hill’s Higher Education business unit. - Develop innovative methodologies, scalable solutions, and structured frameworks to address ambiguous and complex challenges. - Apply acquired professional knowledge to interpret internal business issues and recommend solutions/best practices in line with business goals. - Identify patterns and trends across diverse problems to propose actionable solutions that address both immediate needs and long-term organizational goals. - Operate with substantial independence, planning and executing projects with minimal oversight while seeking leadership input for strategic alignment. - Foster cross-team collaboration to ensure alignment with organizational priorities and strategic goals. - Communicate technical concepts and insights clearly to diverse audiences, including non-technical stakeholders and cross-functional teams, using data-driven storytelling to influence decisions. Qualifications - Ph.D. or equivalent in Data Science, Applied Mathematics, Statistics, or a related field. - 4–7 years of professional experience with demonstrated ability to deliver impactful projects. - Advanced knowledge in a specialization with an understanding of cross-disciplinary concepts and emerging trends, enabling collaboration across teams and domains. - Deep knowledge and practical experience with production-scale DS/AI systems with a recent focus on generative AI (GenAI). - Understanding of complex GenAI architectures and experience with scaling, monitoring, and maintaining these systems. - Experience supporting DS/AI systems across stages of the Machine Learning Operations/LLM Operations lifecycle at enterprise scale. - Strong technical communication and collaboration skills, particularly communicating with non-technical stakeholders and working collaboratively with engineering teams to meet project goals and timelines. - Strong experience with Python (7+ years). Preferred Experience & Skills - Affinity for education. - Experience with educational data. - Familiarity with AI adoption in higher education. Benefits - The pay range for this position is between $136,000-$190,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. - An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered.

Title: Sr. Actuarial Data Scientist Location: Glen Allen, VA, United States US Remote - Candidates must be based in or work within the Central Time (CST) or Eastern Time (EST) zones. Remote (CST/EST) Contract Focus: Property and Casualty Insurance Job Description: Key Responsibilities: - Data Science Cycle Ownership: Manage the entire data science cycle for the regional segment, including: - Data acquisition - Model deployment - Business consultation - Areas of Focus: - Model deployment infrastructure - Data acquisition and engineering - Data pipelines and automation - Productive analytics - Model Building: - Develop pricing models to assess expected risk and profitability - Collaborate with actuaries to ensure models meet underwriting standards - Present models to stakeholders, including chief actuaries and business leaders - Ensure models align with underwriting appetite and include buyouts Requirements: - Experience: - Strong background in insurance, preferably with domain expertise - Ability to build and run models from Day 1 - Deep understanding of insurance to navigate complex modeling tasks - Skills: - Strong problem-solving skills - Graduate degree in math or statistics EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Glen Allen, VA, US Job Type: Date Posted: March 18, 2026 Pay Range: $50 - $75 per hour Similar Jobs - Remote Sr. Data Scientist - Data Scientist - Data Scientist - Data Scientist - Data Scientist