Data Scientist

Remote (United States)

Status

Full-Time

Pay

Base Salary: $85,000 per year

About the Role

This opportunity is for a Data Scientist who will use statistics, programming, modeling, and domain knowledge to build analytics products, predictive models, tools, and data-driven solutions. The role involves working with complex and sometimes imperfect data, supporting client-focused projects, and delivering accurate analytical work in a fast-paced, production-oriented environment.

The position is suited for someone who can think creatively, communicate clearly, and turn challenging analytical problems into practical insights, models, and visualizations.

What You’ll Do

• Execute the design, implementation, and delivery of analytics products and services.
• Build predictive models, analytical tools, and data visualizations.
• Ensure that data and modeling results meet quality requirements.
• Clean, transform, aggregate, and report on data as needed.
• Collaborate with engineers, data scientists, program managers, and external stakeholders to troubleshoot problems and create proactive solutions.
• Support research development projects and data science project plans for client and internal initiatives.
• Document processes and promote new analytical approaches to support team excellence.
• Work as part of a team to deliver accurate products under short deadlines.

Qualifications

• 2+ years of experience working in a quantitative production environment, or a postgraduate degree in a quantitative field.
• Experience applying statistics and modeling concepts, including distributions, parameter estimation, confidence intervals, and statistical tests.
• Ability to apply statistical knowledge in individual work and guide others when needed.
• Strong understanding of a statistical programming language such as R or Python.
• Experience building predictive models using regression and machine learning techniques.
• Ability to manipulate data using SQL.
• Proven experience creating analytics output within a production-oriented team.
• Ability to communicate and present technical concepts clearly to non-technical audiences, both verbally and in writing.
• Knowledge of experimental design and causal inference.
• Experience creating and delivering informative, engaging data visualizations using leading industry tools.
• Experience using data-driven solutions to improve social outcomes is preferred.
• Ability to work with imperfect data while knowing when quality or reliability concerns require escalation.
• Comfort thinking strategically, analyzing complex problems, and considering the needs of end users and stakeholders.

Benefits

• Premier health insurance plan
• 401(k) matching
• Unlimited vacation
• Paid sick, personal, and volunteer leave
• 15 weeks of paid parental leave
• Professional development and learning stipend
• Bring Your Own Device stipend
• Employee Assistance Program
• Flexible working hours
• Telecommuting options
• Pre-tax transportation options