Role Description Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business imperatives and scope data science projects. - Explore possibilities to solve the business imperatives by identifying data sources, creating data where needed, and applying data science techniques. - Work with VP Data, VP of Analytics, and CFO to create data-informed business strategies and roadmaps. - Translate data needs into data product requirements, evaluate technologies, and identify opportunities to innovate and improve data science capabilities. - Use creative problem-solving skills to analyze data and build statistical/machine learning models to help solve business problems from different perspectives. - Work with data engineering lead to create services that can ingest and supply data to and from both internal and external sources and ensure data quality and timeliness. - Build the data science team and lead in data scientist recruitment process. - Guide and coach data scientists and own the deliverables of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experience. - Continuously grow the data science team’s skillsets. - Establish playbooks to drive data product development process and consistent outcomes. - Use strong communication skills (written and verbal) to lead the full lifecycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring. - Evangelize data science across the entire company; identify and make the business case for data science based use cases. - Where needed, conduct hands-on wrangling, processing, cleansing, and verifying data from different sources used for analysis. - Analyze data with complex relationships, hierarchical levels, and time series, such as Pandas, PySpark. - Use and recommend a wide range of machine learning algorithms and statistical modeling, including latest LLM developments. - Utilize data visualization and dashboard tools, such as Tableau, PowerBI, and Snowflake. - Up to 10% domestic travel required for meetings/client visits; 100% remote; must reside in U.S.; reports to HQ in New York, NY. - Salary: $336,350 - $356,350 per year. Qualifications - Bachelor’s Degree or U.S. equivalent in Quantitative Methods, Statistics, Econometrics, or related field. - 5 years of professional experience as a Data Scientist, Operations Research Analyst, or any occupation, job title, or position leading a data science team in a technology organization. Requirements - 5 years of professional experience implementing data science solutions by identifying relevant data sources, creating data pipelines, and applying advanced data science techniques to support business decision-making. - 5 years of professional experience designing and developing machine learning models and statistical algorithms to analyze structured and unstructured data from both internal and external sources. - 5 years of professional experience collaborating with cross-functional teams to gather business requirements, define technical scopes, and deliver actionable data insights. - 5 years of professional experience utilizing tools and libraries including Python, SQL, Spark, PyTorch, Pandas, and PySpark to perform data wrangling, cleansing, and advanced analytics. - 5 years of professional experience developing and maintaining data visualization dashboards using tools including Tableau to monitor performance and communicate insights to stakeholders. - 5 years of professional experience establishing scalable data product development processes through consistent use of playbooks, code standards, and reproducible pipelines. - 5 years of professional experience leading the full lifecycle of machine learning models from business problem discovery to model deployment and performance monitoring. - 5 years of professional experience evangelizing data science practices across organizations, including coaching team members, supporting recruitment efforts, and promoting a data-driven culture. Contact Apply online at fanaticsinc.com/careers or email resume to: WorkWithFanatics@FanaticsInc.com . Must specify Ad Code ZCKM in subject line.

• Review, edit, and draft a variety of legal agreements, including vendor, partnership, and independent contractor contracts. • Manage the IronClad contract lifecycle management platform, including contract workflows, status tracking, and system maintenance. • Oversee the Independent Contractor review process and support ongoing compliance with organizational policies. • Create and maintain contract templates, guidance documents, FAQs, playbooks, and other resources that support consistent contract practices. • Develop and deliver resources that increase organization-wide understanding of the Contracts Policy and legal processes. • Maintain Legal Affairs content on TFAHub to ensure materials remain current, accessible, and useful. • Produce monthly and quarterly reports on legal matters, contract volume, and team activity. • Analyze trends and recommend improvements to legal operations, workflows, and user experience.

• Define, execute, and lead the data science strategy in alignment with the company’s vision, goals, and objectives—establishing initiatives that drive premium growth, improve retention, enhance customer satisfaction, and maximize shareholder value. • Provide direction and guidance to a high-performing data science team; recruit, mentor, and develop data scientists and machine learning engineers while fostering a culture of innovation, continuous improvement, and technical excellence. • Embed AI-first thinking and hands-on AI tool adoption as a standard across the team, ensuring the organization remains at the forefront of applied machine learning and LLM-based capabilities. • Partner with senior executives, insurance business leaders, and cross-functional teams to define project scope, integrate data science across the organization, and deliver measurable results. • Manage the data science budget, establish project timelines, and define KPIs and metrics to assess the impact and effectiveness of data science initiatives. • Dive into operational data to identify opportunities to improve fidelity, accuracy, and accessibility; design and implement A/B tests and experiments to measure the impact of models and business tactics. • Own the data science technical roadmap and heavily influence data engineering and analytics roadmaps through regular collaboration with engineering and business stakeholders.

Role Description Lead Data Scientist responsible for defining and executing analytics and ML strategy to improve business performance and customer experience. Leads development of forecasting, predictive, and recommendation models, partnering with ML Ops and engineering to ensure scalable deployment and lifecycle management. Owns architecture, standards, and quality of analytical products while mentoring team members and collaborating with business and technology stakeholders. Qualifications - Bachelor’s required; Master’s/PhD preferred - 8+ years in data science/ML - 2–3+ years in leadership or lead role - Experience working with large datasets - Strong communication and stakeholder management Requirements - Advanced Python, R, SQL for data manipulation and model development - End-to-end ML lifecycle (build, deploy, monitor, retrain) - Forecasting, recommender systems, predictive analytics - MLOps practices (CI/CD, monitoring, governance) - Data storytelling for executive audiences - Statistical modeling, experimentation, hypothesis testing - Skills: mlops, feature engineering, statistical models, power bi, python, sql, machine learning, databricks, azure devops, digital analytics Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Company Description We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.