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Lead Data Scientist - AWS Certified

Macpower Digital Assets Edge Private Limited

  • Houston, TX
  • Today
  • $125,000–$140,000 Per Year

Highlights

Preferred experience in healthcare, hospital settings, medical informatics, healthcare IT, finance/revenue cycle data, or EHR data management . Education: Bachelor's degree in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM field required.

Numbers & Facts

LocationHouston, TX
Salary$125,000–$140,000 Per Year

Description

Must-Haves:
  • Experience as a Project Lead.
  • Skilled in building data sets.
  • Strong presentation skills to C-level executives.
  • Hands-on experience with Cogito (Required).
  • AWS Certification (Required).
Education:
  • Bachelor's degree in Science, Engineering, Computer Science, Mathematics, Statistics, or a related STEM field required.
  • Master's degree in Data Science preferred.
Experience & Skills:
  • At least 7 years of experience in data science.
  • Preferred experience in healthcare, hospital settings, medical informatics, healthcare IT, finance/revenue cycle data, or EHR data management .
  • Strong business analysis skills (process flows, spreadsheets, modeling, etc.).
  • Expertise in machine learning techniques (clustering, decision trees, neural networks, etc.).
  • Advanced knowledge of statistics (regression, distributions, statistical tests, etc.).
  • Strong data storytelling and requirement-gathering skills.
  • Advanced knowledge of the data science project life cycle.
  • Programming experience and proficiency with statistical analysis tools.
  • Strong problem-solving and analytical reasoning skills.
  • Experience with SQL database management tools.
  • Skilled in advanced data science methods: time series forecasting, regression, A/B testing, clustering, etc.
  • Strong communication skills for both technical and non-technical audiences.
  • Ability to manage multiple projects independently and meet deadlines.
  • Strong project management and client-handling skills.
  • Ability to troubleshoot, recommend solutions, and translate complex data for stakeholders.
Responsibilities:
  • Lead high-priority projects impacting the organization.
  • Solve complex issues and escalate when needed.
  • Mentor and train other data scientists and staff.
  • Develop custom data models and algorithms.
  • Build algorithms/models to improve business operations.
  • Perform research, analysis, and modeling on organizational data.
  • Maintain and improve existing models.
  • Provide advanced data insights using predictive modeling, visualization, and analytics tools.
  • Develop and test hypotheses; present clear, actionable findings.
  • Collaborate with teams to resolve data issues and improve processes.
  • Assist in evaluating data science tools and vendors.
  • Ensure compliance with organizational standards and policies.
  • Support team growth by mentoring, coaching, and professional development.
  • Deliver excellent service and maintain strong client relationships.
  • Other duties as assigned.
Key Benefits:
  • Salary Budget: $12Kto $140K
  • Medical, Dental, and Vision Insurance.
  • Life Insurance.
  • Retirement Plan.
  • Equity.
  • Paid Time Off.
  • Additional Benefits.

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