About this role
Data Science Solutions Lead
Anticipated End Date: 2026-11-28
Position Title: Data Science Solutions Lead
Job Description: 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:
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Lead the design, implementation and delivery of an insights data pipeline supporting analytic products across the organization.
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Design and integrate data from different sources.
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Form analytics platform components and/or processing components required to provide a business solution.
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Engage with business stakeholders to design and own end-to-end solutions to empower data driven decision making.
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Leverage data, technology and quantitative methods to form products that inject analytics and insights into daily workflow of teams.
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Define application scope and objectives, including impact to interfaces.
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Ensure appropriate data testing is completed and meets test plan requirements.
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Coordinates integration actions to ensure successful implementation.
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Mentor Data Science Sol Consultants/Sr. Lead analytical projects and pilots for upgrades or enhancements.
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Analyze data sources to assess trends and develop actionable insights and recommendations.
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Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
Minimum Requirements:
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Bachelor’s degree in Computer Science, Mathematics, Engineering, Data Science, or related.
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Five (5) years in any occupation with experience in predictive analytics, or related.
Experience Requirements:
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Five (5) years in any occupation with experience in predicted analytics, or related must include:
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Three (3) years of experience with Hadoop Technologies;
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Three (3) years of Teradata experience and complex SQL;
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Three (3) years of experience with Python object‐oriented programming, shell scripting;
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Three (3) years of experience with data warehouse technologies and relational databases;
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Three (3) years of experience defining project solution approach in a team environment using Agile methodologies;
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Two (2) years of experience with Cloud (AWS, GCP, or Azure), Elastic Kubernetes Service, Docker, Jenkins;
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Two (2) years of experience with Data Science modeling techniques; and
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Two (2) years of experience leveraging at least 4 of the following technologies: HDFS, Hive, Sqoop, MapReduce, Impala, Spark.
Alternate Education
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Employer will accept a Master’s degree in Computer Science, Mathematics, Engineering, Data Science, or related and
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Three (3) years in any occupation with experience in predictive analytics, or related. Must have skills listed above.
NOTE: Workday keeps job postings active through 11:59:59 PM on the day before the listed end date. Example: If the end date is 3/13, the posting will automatically come down on 3/12 at 11:59:59 PM. In other words — the job is posted until 3/13, not through 3/13.