Lead Data Scientist - AWS Certified

Macpower Digital Assets Edge LLC

Houston, TX

JOB DETAILS
JOB TYPE
Full-time
SKILLS
A/B Testing, Algorithms, Amazon Web Services (AWS), Analysis Skills, Business Analysis, Business Model, Business Operations, C-Level Management, Coaching, Communication Skills, Computer Science, Customer Relations, Data Management, Data Modeling, Data Science, Data Sets, Database Administration, Develop and Maintain Customers, Finance, Forecasting, Health Informatics, Health Information Technology, Healthcare, Hospital, Identify Issues, Machine Learning, Maintain Compliance, Mathematics, Medical Record System, Mentoring, Multitasking, Neural Networks, Operational Improvement, Operations Research, Predictive Modeling, Presentation/Verbal Skills, Problem Solving Skills, Process Flow, Process Improvement, Project Lifecycle, Project/Program Management, Regulatory Compliance, Requirements Management, Retirement Plan, SQL Databases, Service Delivery, Spreadsheets, Statistics, Storytelling, Test Plan/Schedule, Time Management
LOCATION
Houston, TX
POSTED
30+ days ago
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.

About the Company

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Macpower Digital Assets Edge LLC