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

Role Description We are seeking a Data Scientist with experience to join our Data Science team. This new team member will play a crucial role in developing data science solutions from conception to implementation as we continue to enhance the world of retail and make it more sustainable. At Nextail, we empower retailers to create better experiences while using fewer of the world's resources by selling more with less inventory. Nextail’s cloud-based platform uses artificial intelligence, prescriptive analytics, and optimization to deliver agile merchandising decisions. To date, we are working with global retailers like River Island, Guess, Flying Tiger, or Pepe Jeans. Key Responsibilities - Developing Solutions: Contributing to the development of data science solutions from idea to maturity, with a main focus on demand forecasting and optimization models. - Collaborating: Working closely with product managers, developers, data engineers, and business experts to solve end-to-end problems. - Applying Techniques: Utilizing data science techniques including ML, SQL, optimization, simulation, and visualization to address business challenges. - Learning and Growing: Embracing a culture of continuous learning and growth, staying up-to-date with the latest methodologies and best practices in data science. - Analyzing and Communicating: Analyzing and understanding complex data, extracting insights, and effectively communicating findings to stakeholders. - Supporting Operations: Monitoring models in production, measuring their impact on the business, and iterating to improve performance over time. Qualifications - Experience: At least 3-4 years of experience working as a data scientist, or in a related field. - Education: Background in computer science or a related field. - Programming Skills: Proficiency in programming languages, Python is a must. Solid understanding of software engineering best practices, including GIT and CI/CD. - Technologies: Familiarity with tools such as Notebooks, Databricks, databases, and Snowflake (a plus). - Machine Learning: Experience in deploying machine learning models in production (our main operating model is LightGBM). - Language Skills: High proficiency in English. - Adaptability: Ability to thrive in a fast-paced, dynamic environment and willingness to learn new technologies and methodologies. Benefits - A highly innovative and fast-paced environment with a mix of business profiles, IT geeks, data scientists, and fashion enthusiasts. - High flexibility: Empowered to organize time as they see fit without jeopardizing the time or work of colleagues. - Remote-first philosophy: A mix of remote and/or office-based environments around the world. - Diversity on all levels: Work alongside tech geniuses, data science magicians, and fashionistas. - The laptop of your choice: Work with the tools that are most comfortable for you! - Flexible compensation plan: Competitive salary as well as company equity. - Learning allowance: A dedicated individual budget for training and self-development to enhance your skillset. Company Description Nextail is an equal-opportunity employer. We are committed to fostering an inclusive environment regardless of race, color, ancestry, religion, gender, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. What makes Nextail, Nextail? Our values guide how we work, grow, and succeed together: - From Start to Success – We own it from start to finish. - Their Shoes, Our Path – Customer success guides our path. - Nextcellence – We raise the bar every day. - We Care – People matter here. - Less, and Better – Simple solutions, real impact. - Speak Freely, Listen Openly – Open minds. Honest conversations.

DescriptionAt monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works. About the team We’re looking for a Full Stack Data Scientist to join our AI Engineering, driving the future of AI-powered developer experience (DevEx internal AI) at monday.com. In this role, you’ll harness the power of generative AI and data science to design, build, and optimize intelligent systems that elevate the way developers work - from ideation to production. ***This position is available at our Tel Aviv office only. #LI-DNI About The Role - Leverage generative AI models and data-driven insights to create innovative developer tools and capabilities within monday.com’s ecosystem. - Lead end-to-end AI research and development, from data preparation and experimentation to production deployment, with a focus on evaluating solutions and designing effective performance metrics. - Develop and optimize LLM-based systems, including prompt engineering, RAG pipelines, and multi-agent architectures. - Partner with software engineers, product managers, designers, and analysts to build scalable, production-ready AI solutions used by monday's Builders . - Design and conduct experiments to measure and improve model performance, and overall system impact. - Collaborate on defining AI/ML best practices, tooling standards, and long-term data strategies for the DX group. Requirements - 4+ years of proven experience as a Data Scientist in non-academic settings, with a focus on Large Language Models, NLP, or other deep learning fields - Proven track record of conceiving, designing, and shipping successful agentic-driven projects to production - Hands-on proficiency with modern generative AI models, prompt engineering, multi-agents, and RAG architectures - Proficiency in Python is a must; knowledge of Typescript is an advantage - Team player with strong communication skills - A data-driven innovator passionate about advancing the developer experience through AI. - Curious and creative - eager to explore cutting-edge LLMs and emerging AI frameworks. - Analytical and experimental, with a strong bias for measurable impact and real-world outcomes. - A collaborator who thrives in interdisciplinary environments. - Motivated by impact, experimentation, and empowering developers to achieve more with data and AI. Social TitleFull Stack Data Scientist (DevEx AI)