Data Science Solutions Lead

Data Science Solutions Lead Location: Ideal candidates will be able to report to our Pulse Point location at 2505 N Hwy 360, Suite 300, Grand Prairie, TX 75050. This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. Work Hours: Monday to Friday, 8:00 am to 5:00 pm The Data Science Solutions Lead is responsible for leading the design and development of analytic models, applications and supporting tools, which enable Data Scientists to create algorithms/models in a big data ecosystem. How You Will Make an Impact: • Lead the design, implementation and delivery of an insights data pipeline supporting analytic products across the organization. • Design and integrate data from different sources. • Form analytics platform components and/or processing components required to provide a business solution. • Engage with business stakeholders to design and own end-to-end solutions to empower data driven decision making. • Leverage data, technology and quantitative methods to form products that inject analytics and insights into daily workflow of teams. • Define application scope and objectives, including impact to interfaces. • Ensure appropriate data testing is completed and meets test plan

. • Coordinates integration actions to ensure successful implementation. • Mentor Data Science Sol Consultants/Sr. Lead analytical projects and pilots for upgrades or enhancements. • Analyze data sources to assess trends and develop actionable insights and recommendations. • Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. Minimum

: • Bachelor’s degree in Computer Science, Mathematics, Engineering, Data Science, or related. • Five (5) years in any occupation with experience in predictive analytics, or related. Experience