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Senior Data Scientist

2 weeks, 4 days ago
United States, Canada
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Airflow AWS BERT LLM Looker Machine Learning MongoDB NLP PostgreSQL Python SageMaker SQL Transformers
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Rockstar

Rockstar is a platform that connects top talent with companies, helping individuals land roles that accelerate their careers. They focus on roles that offer competitive cash and the opportunity to impact the trajectory of the business.

Professional Services
1-10
View All Jobs 28

Description

  • Own recommender systems that guide job seekers and employers toward high-quality matches.
  • Build and maintain taxonomies that model the evolving landscape of skills, occupations, and careers.
  • Prototype and evaluate agentic AI solutions for job seekers, employers, and case workers.
  • Advise on data science strategy and roadmap decisions, including evaluation of major field developments.
  • Apply state-of-the-art machine learning and NLP techniques to production problems.
  • Lead projects from ambiguous problem statements to deployed models with measurable outcomes.
  • Mentor teammates and act as a tech lead to improve the quality, rigor, and speed of work.
  • Collaborate with stakeholders to translate technical results into actionable insights.

Requirements

  • 5+ years of combined experience in industry and/or graduate-level research.
  • Proficiency training and evaluating ML and NLP models using structured and unstructured data with reproducible results.
  • Expert-level programming and software engineering skills with a track record of reusable and well-documented code.
  • Practical experience using LLMs to accelerate model development, such as synthesizing training data or automating evaluation.
  • Proven ability to own a problem space from 0 to 1 and translate vague business problems into production models.
  • Comfort navigating ambiguity and competing priorities.
  • Strong communication skills for presenting models and insights to both technical and non-technical stakeholders.
  • Experience with recommendation systems, taxonomies, or AI agents (bonus).
  • Experience with data engineering, analytics, dashboards, or BI tools (bonus).
  • Experience with A/B testing or causal analysis (bonus).
  • An economics or social sciences background, especially labor market analysis or modeling experience (bonus).
  • Public evidence of expertise such as publications, conference talks, open-source releases, or other artifacts related to advanced ML/NLP (bonus).
  • Located in the United States or Canada and willing to work remotely with ET preferred.
  • Willing to travel up to once per quarter.

Benefits

  • Base salary range of $115,000-$140,000.
  • Remote work within the United States or Canada, with Eastern Time preferred.
  • Opportunity to join a small, high-performing team with meaningful mission impact.
  • A hiring process that includes a performance challenge and typically takes around 4 weeks.
  • Reasonable accommodations provided for candidates and employees with disabilities.
  • Commitment to an equal opportunity, inclusive workplace.

Interested in this position?

Apply directly on the company website

Apply Now

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