Data Scientist

Hiring a Sr-Level Data Scientist for a healthcare client  
(no 3rd parties, company cannot provide sponsorship) 

Location:  100% remote in USA only (EST or CST preferred) 
Pay: $85-100/hr W2 DOE 
Contract Duration: 1 year+ 


This role focuses on developing unique, data-driven products and solving complex analytics problems.

The ideal candidate brings strong mathematical and statistical expertise, along with curiosity and creativity. This individual will mine, interpret, and clean data, uncover insights, and identify opportunities to maximize data value. Working alongside data analysts and engineers, the Data Scientist will analyze data from multiple angles and help shape future data strategies.

This role reports directly to the Director of Data Science. Location is flexible, with quarterly travel required.

Key Relationships

• Data Analytics Team
• Operations
• Marketing
• Business and IT Stakeholders

Essential Duties & Responsibilities

• Extract, analyze, and interpret data from various sources
• Apply machine learning techniques to select features and build optimized models
• Preprocess structured and unstructured data
• Enhance data collection processes to improve analytic capabilities
• Cleanse, validate, and ensure data integrity
• Analyze large datasets to identify patterns, trends, and actionable insights
• Develop predictive models and machine learning algorithms
• Present findings clearly to both technical and non-technical audiences
• Propose data-driven solutions to business challenges
• Collaborate cross-functionally with Business and IT teams
• Build impactful data visualizations to highlight opportunities and drive performance
• Facilitate discussions with stakeholders to define problems and iterate on solutions
• Foster a culture of continuous, data-driven improvement
• Maintain strict confidentiality of sensitive information
• Ensure consistent attendance and flexibility to meet business needs
• Comply with all Medicare, Medicaid, HIPAA, and insurance regulations
• Adhere to all company policies, procedures, and standards

Desired Outcomes

• Effectively mine, clean, and interpret data to uncover meaningful insights
• Build and optimize predictive models and machine learning solutions
• Improve data collection and ensure high data quality
• Deliver actionable recommendations to solve business challenges
• Communicate findings clearly and effectively to stakeholders
• Demonstrate strong ownership and commitment to results

Qualifications & Competencies

Education & Experience

• Bachelor’s degree in Information Systems, Data Science, or a related field (or equivalent experience)
• 5+ years of experience in data analytics or data science

Technical Skills

• Proficiency in programming languages such as Python or R
• Experience with SQL and database technologies (Hive preferred; Pig is a plus)
• Familiarity with Scala, Java, or C++ is a plus
• Strong knowledge of statistical methods (regression, distributions, hypothesis testing, etc.)
• Experience with machine learning techniques (e.g., k-NN, Naive Bayes, SVM, decision forests)
• Solid foundation in mathematics (linear algebra, multivariable calculus)
• Expertise in data wrangling and preprocessing

Tools & Technologies

• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, ggplot, D3.js)
• Hands-on experience with modern data science tools and platforms

Soft Skills

• Strong storytelling and communication skills
• Ability to translate complex findings for diverse audiences
• Excellent collaboration and interpersonal skills
• Analytical mindset with strong problem-solving abilities
• Business acumen and strategic thinking
• Curious, creative, and results-oriented