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Data Science Lead

Job in Houston, Harris County, Texas, 77246, USA
Listing for: GoAhead Solutions
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Seeking a Lead Data Scientist to lead high-priority projects that will have a positive impact on the organization.

Duties
  • Apply advanced analytics techniques, predictive modeling & data mining to solve complex business problems.
  • Developing custom data models & algorithms, performing in-depth analysis on large datasets & translating complex findings for a wide range of stakeholders.

Duration: Full-time position

Work location: Southwest Houston (hybrid/onsite as needed)

  • Requires strong project management skills and the ability to mentor other data scientists.
  • Able to work independently in a fast-paced environment and have a deep understanding of the entire data science project lifecycle
Key responsibilities
  • Lead high-priority projects from start to finish.
  • Develop custom data models and algorithms to apply to large datasets.
  • Perform in-depth research, analysis & modeling on organizational data.
  • Present data-driven insights & findings to A-C level executives.
  • Provide technical supervision & mentorship to other data scientists.
  • Identify, understand & resolve complex data issues to improve efficiency.
  • Translate complex information for a wide range of technical & non-technical stakeholders.
Must have
  • Exp. as a project leader or in a similar leadership role.
  • Proven experience building datasets.
  • Experience presenting to A-C level executives.
  • Cogito experience is required.
  • AWS Certification is a must.
Minimum qualifications/experience
  • At least 7 yrs. of exp. in data science.
  • Professional exp. in a hospital setting, medical informatics, or healthcare information technology is a plus.
Skills
  • Proficiency in a variety of machine learning techniques (e.g., clustering, decision tree learning).
  • Advanced understanding of statistical techniques (e.g., regression, statistical tests).

Advanced knowledge of the data science project lifecycle.

  • Proficiency in programming and statistical analysis tools.
  • Strong problem-solving, analytical, and decision-making skills.
  • Advanced understanding of SQL database management tools.
  • Excellent written and verbal communication skills.
  • Professional exp. in a hospital setting, medical informatics, or healthcare information technology is a plus.
Education

Bachelor’s Degree in a STEM field (science, engineering, computer science, mathematics, or statistics).

A master s degree in data science is preferred.

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