Senior Data Scientist (US)

🏢 Lynxanalytics · 📍 New York, USA; Philadelphia, Pennsylvania, United States; San Francisco, California, United States
⚡ Direct Talent Broker Referral
Why apply through CandidatesReach?
✔ Tailored Executive Endorsement Letter: Highlight your real strengths and verified background directly to hiring leads.
✔ Your Preferred Screening Terms: Choose between a 1-minute quick phone screen or scheduled email calendar.
✔ $500 Cash Hiring Bonus: Receive $500 direct cash reward after 30 days of active employment.

Position Summary & Responsibilities

ROLE SUMMARY

We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions.
 
KEY RESPONSIBILITIES

Solution Design & Delivery

  • Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques.
  • Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation.
  • Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation.
Client Communication & Leadership
  • Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives.
  • Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members.
  • Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations.
Knowledge Building
  • Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work.
  • Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice.
🎯 Candidate Preparation Guide For Lynxanalytics Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assesses rigorous analytical horsepower, ability to translate complex data science models into business value, and client-facing communication polish.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Getting lost in academic theory without connecting to revenue impact
  • 2. Poor structuring during live case studies or data estimation prompts
  • 3. Inability to defend methodology choices under gentle pushback
✨ Recommended Role Alignment Hook:

I combine deep data science rigor with executive-level storytelling to turn complex data graphs into immediate top-line growth.

🔒 Free Candidate Preparation Access

Unlock Preparation Priorities & Alignment Hook

Sign in below to review role alignment recommendations before submitting your referral.

🤝 Talent Broker Referral · $500 Bonus Included

Apply for Senior Data Scientist (US)

Setup your contact terms & referral note to get recommended directly to the hiring lead at Lynxanalytics.

⚡ Continue with Google (Instant Setup)
or with email

Already have an account? Sign in here