Role Overview
We are hiring a Senior-Level Data Scientist for a healthcare client. This is a 100% remote contract position (1 year+) for candidates based in the USA (EST or CST preferred).
- Pay: $85-100/hr W2 (DOE)
- Note: No 3rd parties, no C2C, and the company cannot provide sponsorship. Quarterly travel is required.
This role focuses on developing unique, data-driven products and solving complex analytics problems. You will report directly to the Director of Data Science.
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.
- Comply with all Medicare, Medicaid, HIPAA, and insurance regulations.
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.
Application Instructions
Interested candidates should reach out directly to [email protected]. Please note that this role requires W2 employment; no C2C candidates will be considered.
Equal Opportunity & Notices
Vaco by Highspring is an equal opportunity employer committed to inclusion and diversity. We do not discriminate based on race, color, sex, religion, national origin, age, disability, veteran status, or any other protected characteristic. For accommodation requests, contact [email protected]. By submitting your application, you agree to our representation and privacy terms, including the use of AI for preliminary candidate screening.