[Remote] Sr. Data Scientist
Note: The job is a remote job and is open to candidates in USA. Vaco by Highspring is seeking a Sr-Level Data Scientist for a healthcare client. This role focuses on developing unique, data-driven products and solving complex analytics problems while collaborating with data analysts and engineers to analyze data and shape future data strategies.
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
Skills
- 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
- Proficiency in programming languages such as Python or R
- Experience with SQL and database technologies (Hive preferred; Pig 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
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, ggplot, D3.js)
- Hands-on experience with modern data science tools and platforms
- 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
- Familiarity with Scala, Java, or C++ is a plus
Benefits
- W2 option
- Discretionary bonuses and/or participation in medical, dental, and vision benefits as well as the company's retirement plan (or similar retirement benefits)
Company Overview