Data Scientist
The Data Scientist at Confidential Client is responsible for designing and developing predictive models and algorithms to extract analytical insights that drive business impact. This role involves data analysis, model development, and effective communication of complex findings to non-technical stakeholders, working under close supervision with opportunities for problem solving within existing data platforms. The position requires collaboration with team members and proficiency in various programming and data visualization tools to support organizational objectives.
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, Financial Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking an early-career Data Scientist to turn data into actionable insights that drive business decisions. Under supervision, you will apply statistical methods, build routine predictive models, and create automated reporting to support teams across the organization.
- Design, develop, and evaluate basic to moderately-complex predictive models and algorithms
- Perform exploratory and descriptive data analysis to uncover trends and patterns
- Build, optimize, and maintain automated reports and dashboards (Tableau / Power BI / Excel)
- Develop and document basic software, algorithms, and automated ETL processes
- Interpret model results and translate findings into clear recommendations for non-technical stakeholders
- Collaborate with cross-functional teams and contribute to team projects
- Communicate results through effective data storytelling and technical writing
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
- 2–3 years of practical experience in exploratory data analysis and model development
- Strong foundation in statistics, data modeling, and mathematical methods
- Hands-on experience with SQL and at least one programming language: Python or R
- Familiarity with big-data tools and platforms (Hadoop, AWS) and statistical packages (SAS, SPSS) is a plus
- Experience creating dashboards and visualizations in Tableau or Power BI
- Knowledge of model lifecycle execution and basic MLOps concepts
- Strong data storytelling, presentation, and technical writing skills
- Good interpersonal, critical thinking, and problem-solving abilities
- Must be authorized to work in the United States; our client cannot provide visa sponsorship for this role
Desired Qualifications
- Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering preferred
Hours & Location
- Full-time, Monday–Friday, 8:00 AM – 4:30 PM
- Primary workplace: Vienna, VA (onsite)
Compensation & Benefits
- Salary range: $80,400 – $135,600 per year (range provided by the client)
- Confidential Client offers competitive pay and a benefits package. Specific benefits depend on role and location.
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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