---
title: 'Senior Data Scientist (US) at Lynx Analytics'
canonical: 'https://feeny.ai/job/senior-data-scientist-us-lynx-analytics-new-york-0ep8dmx02pa2'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Data Scientist (US) at Lynx Analytics

- **Company:** Lynx Analytics
- **Location:** New York, NY / Philadelphia Pennsylvania, United States / San Francisco California, United States
- **Posted:** 2026-03-19
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/lynxanalytics/jobs/8470862002

## Job description

## 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.

## SKILLS, QUALIFICATIONS AND EXPERIENCE

- 8+ years of overall experience in data science, with a track record of leading analytical workstreams independently.
- 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, with applied experience in areas such as customer retention and campaign management.
- Strong hands-on proficiency in Python for data analysis, modelling (PyTorch, TensorFlow, or JAX), and productionising code.
- Strong SQL, and comfort working across common data stores (relational, columnar/warehouse, and vector databases).
- Git and GitHub proficiency, including branching workflows and code review; experience with GitHub Actions (or equivalent CI/CD) preferred.
- Hands-on experience designing and building agentic LLM applications - tool calling, multi-step orchestration, and state management - using at least one modern framework (e.g., LangGraph, Pydantic AI, AWS Bedrock AgentCore, Google ADK, or the OpenAI Agents SDK), beyond simple prompt-and-response use of LLM APIs.
- Preferred: practical depth in one or more of MCP-based tool integration, RAG and embedding pipelines (including vector stores), model fine-tuning and RL-based post-training, and LLM guardrails and evaluation (e.g., Ragas, DeepEval, Langfuse, or similar).
- Experience with at least one major cloud platform (AWS, GCP, or Azure); Docker and basic containerised deployment preferred.
- Comfortable working with very large, complex datasets residing in different data stores and formats.
- Excellent verbal and written communication skills, with strong data visualisation ability and experience presenting to senior, non-technical stakeholders.
- Demonstrated leadership potential and the presence to guide junior team members and represent the company with clients.
- Nice to have:
- Software engineering hygiene (preferred): typed Python (Pydantic), testing with pytest, packaging, and dependency management (uv).
- Experience shipping LLM applications to production, including observability and cost/latency management (e.g., Langfuse, Phoenix, or similar LLMOps tooling).
- Experience in the life sciences industry is preferred.

## KEY COMPETENCIES

- Executive Communication: Translates complex Data Science solutions into plain language for C-level and non-technical stakeholders.
- Technical Depth: Brings rigorous statistical and modelling judgement, paired with fluency in modern GenAI/LLM approaches.
- Discretion & Integrity: Handles sensitive client and internal information with professionalism and sound judgement.
- Leadership & Charisma: Guides junior colleagues day to day, even without a formal management title, and takes pride in their growth.
- Collaboration: A team player who builds strong working relationships across delivery teams, PMO, and clients.

## WHY YOU WILL LOVE IT HERE

- Work on real-world AI and advanced analytics solutions with measurable business impact.
- Collaborate with a global team of engineers and data scientists.
- Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies.
- A collaborative culture that values real outcomes.
- High ownership, zero micromanagement.
- Rapid learning opportunities and diverse challenges.
- Flat organisational hierarchy with high visibility and accessibility to our leaders.

## About Lynx Analytics

## Company Overview
- **One-liner**: Lynx Analytics is an AI-native consulting firm that applies machine learning and graph analytics to solve complex challenges for global life sciences organizations.
- **Entity Type**: Private (stage: Unattributed; total raised $10M)
- **Headquarters**: Singapore, Singapore
- **Founded**: 2010
- **Founders**: A group of INSEAD students and professors; notable co-founder includes Gabor Benedek, PhD (Chief Innovation Officer)

## Core Business
- **Primary industry**: Life sciences (pharma and biotech), with additional work in healthcare, retail, telecommunications, and banking.
- **Target customers**: B2B, Enterprise (global pharmaceutical and biotech companies, plus large enterprises in other regulated industries).
- **Mission or purpose statement**: To apply graph theory and AI to simplify and solve complex, real-world business problems, helping clients move faster and achieve more.

## Products & Services
- **LynxKite**: A complete Graph AI platform for very large datasets that transforms data into graphs and lets users perform complex analysis in a no-code environment; often part of the solution stack delivered to customers.
- **Lumen**: An Agentic AI framework designed specifically for pharmaceutical and biotech organizations to generate strategic, decision-ready insights from complex scientific and commercial information. It enables AI agents for use cases such as campaign planning, HCP engagement, clinical trial intelligence, and natural-language analytics.
- **IlluminAI**: A customized decision-support solution built on Lumen in collaboration with the International Oncology team at AstraZeneca. It allows teams to ask natural-language questions about forecast drivers and receive insights grounded in patient forecast models and revenue data.
- **Consulting Services**: AI-native consulting that embeds data engineers, data scientists, and software developers into client teams to design and deploy tailored, scalable solutions.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $10M (raised in a single round, no series disclosed)
- **Notable Investors/Partners**: Not publicly available (investors); key customers/partners include AstraZeneca, Hong Kong Telecom, and Levi’s.
- **Growth Signals**: Launched the Lumen Agentic AI framework in January 2026; expanded from bespoke analytics to a suite of capability-led AI solutions; deep partnership with AstraZeneca’s International Oncology team; growing global footprint with offices in Singapore, US, Hong Kong, Hungary, and operations in Canada, Germany, and Indonesia.

## Competitive Advantages
- **AI-native from day one** – built on a foundation of graph theory and advanced analytics, with over 15 years of experience applying machine learning to real-world problems.
- **Graph analytics expertise** – proprietary LynxKite platform enables no-code graph analysis on very large datasets, a differentiator versus traditional analytics providers.
- **Deep domain knowledge in life sciences** – focused exclusively on pharma and biotech, with solutions tailored to launch excellence, omnichannel investment, HCP engagement, and clinical trial optimization.
- **Always-on, scalable models** – e.g., continuous attribution models that replace static quarterly reports, and living HCP personas updated in real time.
- **Embedded delivery model** – teams work alongside clients, taking full ownership of outcomes and integrating into existing technology environments (no rip-and-replace).

## Strategic Focus
- Scaling from bespoke, project-based analytics to a suite of capability-led, repeatable AI solutions (e.g., Lumen framework).
- Deepening partnerships with global pharmaceutical companies and expanding the use of Agentic AI across commercial and clinical workflows.
- Continuing to build a diverse, global team and expanding geographical footprint in North America, Europe, and Asia.

## Why Work Here
- **Culture**: Described as fast-moving, ownership-driven, and built for intellectually demanding problems. The company values ambition, innovation, empathy, and relentless teamwork.
- **Team composition**: A diverse, global team of Professors, PhDs, MScs, and MBAs from Ivy Leagues, INSEAD, and NUS, with experience at companies like Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, and Palantir.
- **Remote/hybrid/office policy**: Has physical offices in Singapore, San Francisco (US), Hong Kong, and Hungary, and operations in Canada, Germany, and Indonesia. The company is global and likely supports hybrid/remote arrangements depending on role.
- **Notable perks**: Emphasis on real ownership and impact, exposure to cutting-edge AI and graph analytics, and the opportunity to work with some of the world’s largest life sciences companies.

## Sources
1. [lynxanalytics.com - About Us](https://www.lynxanalytics.com/about-us)
2. [lynxanalytics.com - Homepage](https://www.lynxanalytics.com/)
3. [job-boards.greenhouse.io - Lynx Analytics Careers](http://job-boards.greenhouse.io/lynxanalytics)
4. [lynxanalytics.com - Leadership](https://www.lynxanalytics.com/leadership)
5. [cbinsights.com - Lynx Analytics Profile](https://www.cbinsights.com/company/lynx-analytics)
6. [prnewswire.co.uk - Lumen Announcement](https://www.prnewswire.co.uk/news-releases/lynx-analytics-introduces-lumen-an-agentic-ai-framework-to-improve-decision-making-in-life-sciences-302660479.html)

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