Senior Data Scientist (US)
Lynx Analytics · New York, USA; Philadelphia, Pennsylvania, United States; San Francisco, California, United States
Posted 28 days ago
or apply directly on Lynx Analytics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days Lynx Analytics's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Lynx Analytics's roles list one
- Ghost-job risk at Lynx Analytics
- high 6 stale, 0 reposted of 8 open
- Hiring momentum
- 10 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Lynx Analytics's own greenhouse board since 2026-08-03. Full hiring picture for Lynx Analytics.
About this role
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.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lynx Analytics as an employer.
What you need
- 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
Worth weighing
- 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
Summarised from Lynx Analytics's posting. Read the full original.
Listed by Lynx Analytics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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