Data Science Lead

GoAhead Solutions Logo
GoAhead Solutions
Houston, TEXAS, United States
  • Environmental
  • FlexTime
  • FullTime

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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