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← Lynx Analytics

Senior Data Scientist (US)

Lynx Analytics
Location
New York, USA; Philadelphia, Pennsylvania, United States; San Francisco, California, United States
Posted
1 month ago
Department
Data Science
What they actually want (must-haves)
  • 8+ years of overall experience in data science
  • Degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field; MSc or PhD preferred
  • Solid grounding in probability theory, statistics, and core data science algorithms
  • Strong hands-on proficiency in Python for data analysis and modeling
  • Strong SQL skills and comfort with various data stores
  • Proficiency in Git and GitHub, including branching workflows and code review
Nice to have
  • Practical depth in MCP-based tool integration, RAG and embedding pipelines, model fine-tuning and RL-based post-training, and LLM guardrails and evaluation
  • Experience with at least one major cloud platform
  • Docker and basic containerised deployment experience
  • Software engineering hygiene practices
  • Experience shipping LLM applications to production
What the job really is

The Senior Data Scientist will lead complex data science projects that integrate traditional statistical modeling with Generative AI, working directly with large datasets to create analytical solutions for business problems. This role involves hands-on data manipulation, client communication, and mentoring junior team members, while also contributing to knowledge building within the organization. The position emphasizes delivering impactful solutions and preparing materials for C-level stakeholders.

Things to weigh
  • No salary listed
  • Fast track into technical leadership may imply a steep learning curve
  • Role involves significant client interaction, which may not suit all candidates
  • Emphasis on hands-on work with large datasets may require strong technical skills
Job score2.8/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity4/5
Pay transparency0/5

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