Senior Data Scientist — Client-Focused Analytics

Elder Research; United States; Hybrid; USD 110,000 - 150,000; Full time

Job summary

Elder Research, Inc. seeks a motivated Data Scientist to join our team in Raleigh, NC or Washington DC. This hybrid role requires 1–2 days onsite per week and supports the full lifecycle of analytical solutions for diverse clients.

You will serve as a trusted advisor, applying advanced analytics, time series, NLP, classification/regression, and data engineering practices to deliver production-ready models and actionable insights while collaborating with clients and colleagues.

Qualifications

• 3+ years of experience as a Data Scientist.
• BS degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or the social or natural sciences.
• Proficiency in Python and/or R with data analysis and modeling libraries.
• Experience developing machine learning models and model validation best practices.
• Strong SQL experience and version control with Git.
• Ability to work independently and hit the ground running on new projects.
• Interest in teaching data science and AI training courses.

Responsibilities

• Lead and contribute to data science projects by developing production-ready models and analytics products.
• Design solutions within client environments and adapt to their tooling and constraints.
• Consult with clients to define problems and communicate solutions to stakeholders.
• Develop, lead, and support analytics training courses for Elder Research clients.
• Collaborate with internal teams and client stakeholders to ensure delivery aligns with objectives.

Skills

Python or R

SQL

Machine learning

Model validation

Data analysis libraries

Git

Communication

Independent work

Client interaction

Curiosity for data

Education

Bachelor of Science in statistics, CS, economics, mathematics, analytics, data science or related

MS or PhD preferred

Tools

Git

Job description

Elder Research, Inc. seeks a motivated Data Scientist to join our team in Raleigh, NC or Washington DC. This hybrid role requires 1–2 days onsite per week and supports the full lifecycle of analytical solutions for diverse clients.

You will serve as a trusted advisor, applying advanced analytics, time series, NLP, classification/regression, and data engineering practices to deliver production-ready models and actionable insights while collaborating with clients and colleagues.