Senior Data Scientist

Department: Software/Technology Dev. & Data Science

Location:

Ready to turn data into direction? Join us as a Senior Data Scientist and help solve real-world challenges with advanced analytics and creativity!

PRIMARY PURPOSE

The Senior Data Scientist is a principal source of technical expertise and guidance at RSG, driving the design and implementation of scalable data pipelines, advanced analytics, and visualization tools for transportation planning and analysis. This role ensures rigorous data quality control and leverages machine learning and AI to deliver efficient, high-quality solutions across the organization. As a mentor and innovator, the Senior Data Scientist guides team members, advances best practices, and plays a strategic role in delivering innovative solutions for our clients.

RESPONSIBILITIES

Leads the design, development, and maintenance of robust, automated data pipelines and tools that enable reliable, high-quality data flow across the organization

Champions rigorous quality control, monitoring, and validation processes to maintain data consistency with a focus on open-source technologies and Azure cloud resources

Leads and collaborates on the development and integration of AI/ML solutions into scalable production environments, ensuring reliability, performance, and maintainability

Develops and maintains data dashboards and visualizations that enable actionable insights for stakeholders

Mentors analysts and peers across RSG in effective data pipeline construction, reproducible data flows, code management, and best practices in analytics, visualization, and automation.

Manages complex projects for various project teams simultaneously.

Participates in client project calls representing RSG-s technical methodology and approach.

Collaborates cross-functionally to translate business needs into technical solutions

Stays current with emerging trends in AI/ML (e.g. generative models, LLMs, MLOps) and proactively applies new techniques to improve organizational capabilities

Acts as a primary technical resource for complex data processing challenges, providing expert guidance and solutions in ETL, statistical analysis, and visualization to project teams and stakeholders.

QUALIFICATIONS

Education and Experience

8+ years in data science or related field

3+ years in building, maintaining, and debugging ETL pipelines.

Master-s degree in data science or data-intensive field required; Ph.D. or equivalent professional experience preferred.

Knowledge, Skills and Abilities

Minimum Requirements

Fluency in SQL and Python data processing libraries (polars, pandas, scikit-learn, PostgreSQL)

Experience designing, debugging, and maintaining scripted, version-controlled pipelines in Python and SQL, with tests, data validation and CI/CD, delivered with teammates or collaborators.

Demonstrated proficiency with collaborative development practices (git workflows, code reviews, branching strategies, issue tracking) on shared repositories.

Experience building and maintaining containerized workflows and automation (e.g. Docker, GitHub Actions, and CI/CD pipelines)

Expertise with advanced statistical analysis and machine learning (supervised, unsupervised, deep learning)

Extremely organized, detail-oriented, resourceful, and flexible.

Experience managing technical projects with multiple stakeholders (collaborators, clients, team members)

Demonstrated ability to deliver work on schedule in team settings

Ability to gain support for innovating and experimenting with new methodologies and technology.

Ability to connect technical work to business goals, adhere to budgets, and identify solutions that stakeholders can understand and use.

Outstanding communication, problem-solving, and teaming skills with colleagues and clients.

Preferred

Experience with open-source geospatial tools (e.g. PostGIS, shapely, geopandas, or R/sf), and data (e.g. LBS -- location-based services or GPS traces).

Experience building scripted dashboards/data apps (Shiny, Plotly/Dash, Altair, React + D3/Vega-Lite) using reproducible, deployable code

Experience with natural language processing (NLP), LLMs, MCP servers, or other advanced AI domains

Familiarity with the transportation industry, transportation planning, and modeling

Experience with survey science and statistics

Experience in business settings

Experience in a personnel management or mentorship role (i.e., coaching peers or juniors through reviews, pairing, or trainings)

Benefits

Competitive salary range of $124k - $155k/year (Compensation within the posted range is based on multiple factors including geographic location, experience, internal equity, and qualifications. Offers are typically not made at the top of the range)

100% employee-owned company with employee stock ownership plan (ESOP)

Award-winning culture and workplace flexibility

Competitive 401(k) with matching, medical with HSA, dental, vision, disability, and other insurance coverage

Professional Development opportunities

RSG is not currently accepting H-1B applicants for this position. EEO/AA Employer/Vet/ Disabled.

RSG

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Senior Data Scientist