Lead Data Scientist

Company : Macpower Digital Assets Edge

Location : Houston, TX, 77002

Posted Date : 12 October 2025

Job Type : Other

Category : Mathematics

Occupation : Data Scientist

Job Details

Must-Haves:

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:

t 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.).
dvanced knowledge of statistics (regression, distributions, statistical tests, etc.).
Strong data storytelling and requirement-gathering skills.
dvanced 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.
bility to manage multiple projects independently and meet deadlines.
Strong project management and client-handling skills.
bility 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.
ssist 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: