ML Data Scientist - WFH
The ML Data Scientist role at Confidential Client involves solving complex data analytics problems by mining, interpreting, and cleaning data to develop innovative data-driven products. The position requires expertise in machine learning, statistical programming, and data visualization, with responsibilities including collaborating with business and IT teams to propose strategic solutions and presenting findings clearly. This fully remote contract role emphasizes a data-driven culture, strong communication skills, and the ability to handle sensitive information in compliance with healthcare regulations.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Information Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
About the Role
This opportunity is for an ML Data Scientist to join a Confidential Client's enterprise data analytics Center of Excellence. The role is focused on building and optimizing machine learning models, mining and cleansing large datasets, and turning analytic insight into actionable business solutions. The position is remote (work-from-home) and may require occasional quarterly travel. This listing reflects a contract-to-hire engagement with potential for full-time conversion.
What You’ll Do
- Act as a data storyteller: translate analytic findings into clear recommendations for technical and non-technical stakeholders
- Mine, extract, and preprocess structured and unstructured data from multiple sources
- Build, validate, and optimize predictive models and machine learning classifiers
- Select and engineer features using statistical and ML best practices
- Cleanse and validate data to ensure integrity and repeatability of analysis
- Develop production-ready pipelines in collaboration with data engineers
- Create clear, actionable data visualizations that surface opportunities and support decision-making
- Propose data-driven strategies and measurable solutions for business problems
- Collaborate with Business and IT teams to deliver analytic products at scale
- Maintain confidentiality and comply with applicable healthcare and privacy regulations (Medicare, Medicaid, HIPAA where relevant)
- Support a culture of continuous improvement through experimentation and measurement
Qualifications
- Bachelor's degree (BA/BS) in Information Systems, Data Science, Computer Science, Mathematics, Statistics, or a related field — or equivalent combination of education and experience
- 5+ years of experience in data and analytics (industry experience may vary)
- Demonstrated track record of delivering analytic or ML products that solved business problems
Required Skills
- Strong programming skills: Python and/or R; solid SQL experience (experience with Hive, Pig is a plus)
- Applied statistics knowledge: tests, distributions, regression, estimation methods
- Machine learning experience: familiarity with k-NN, Naive Bayes, SVM, Decision Forests, and other supervised/unsupervised methods
- Strong math foundations (linear algebra, multivariable calculus) supporting model understanding and tuning
- Data wrangling expertise: handling missing/dirty data and building reproducible preprocessing pipelines
- Experience with data visualization tools (matplotlib, ggplot, d3.js, Power BI, Tableau)
- Strong software engineering practices: version control, testing, modular code
- Excellent written and verbal communication for technical and business audiences
- Problem-solving mindset and strong business acumen
Preferred Skills
- Familiarity with Scala, Java, or C++ is a plus
- Hands-on experience deploying models to production or working with MLOps tools
- Experience creating dashboards and executive-facing visualizations in Power BI or Tableau
Location & Employment
- Work arrangement: Remote (work-from-home); candidate must be able to work in the U.S.
- Employment type: Contract-to-hire with potential full-time conversion
- Travel: Quarterly travel may be required
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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