Senior Data Scientist

Role overview

Develop and improve sophisticated data models that reveal workforce composition, employment trends, and related labor-market patterns from large collections of public records. This is a hands-on senior data science role combining research, production modeling, analysis, and collaboration with experienced specialists.

Responsibilities

- Maintain, refine, and extend complex statistical or machine-learning models. - Investigate modeling approaches for areas such as natural language processing, time series, and Bayesian analysis. - Work with large-scale workforce and employment data to identify meaningful patterns and trends. - Use exploratory analysis and visualization to communicate findings and assess model behavior. - Collaborate with an experienced data science team on challenging applied research and product problems. - Help translate analytical results into useful workforce intelligence for varied end users.

Requirements

- At least 4 years of experience building complex data models. - Strong Python and SQL skills. - Working knowledge of regular expressions and Bash for data processing and automation. - Ability to analyze results and communicate them through effective data visualization. - Creative, rigorous problem-solving skills and comfort working on technically challenging data problems.

Nice to have

- Experience or strong interest in NLP, time-series modeling, or Bayesian methods. - Background analyzing human-capital, workforce, financial, or similarly structured business data. - Advanced academic or domain expertise in data science.

Benefits and work setup

- Remote work is supported, with offices based in New York City. - The stated New York City base-pay range is $120,000–$180,000 per year; compensation may vary by location, skills, knowledge, and experience. - Potential eligibility for equity and benefits including medical, dental, vision, and retirement plans.