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# Senior Data Scientist (US)

- **Company:** Lynx Llc
- **Location:** Singapore, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Transformation, Data Stores, Data Visualization, Python (Programming Language), Presentation Programs, Large Language Models, Generative AI, Information Technology, Software Library
- **Published:** September 21, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/occlmecvk7

## About the Role

* More than 8 years of overall experience in data science field.
 * Experience in the life sciences industry is preferred
 * Mathematics, Statistics, Economics, Computer Science, Engineering or related degree (MSc or PhD is preferred)
 * Understanding complex Data Science Solutions
 * Solid knowledge of probability theory, statistics, data science algorithms and their application in Customer Retention, Campaign Management etc. areas
 * Good Communication (both verbal and written) and Data Visualization Skills
 * Strong abilities in Python
 * Solid experience in LLM / NLP

## Description

We are looking for a Senior Data Scientist to work on and lead complex data analysis projects using standard modelling, data transformation approaches and Generative AI.

They should be comfortable working with very large data sets residing in different data stores in disparate formats. The role requires the candidate to be strong with hands-on implementation and has the potential to move fast onto a high-growth career trajectory. Our future colleagues must have excellent communications skills as well as being able to visualize and present complex Data Science solutions for the main (C-level) stakeholders of the projects. Leadership experience and charisma are huge advantages.

Key responsibilities will include:

 * Designing and Delivering Solutions for a defined Data Science Related Problem
 * Present the results / Prepare Presentations for the Project Stakeholders
 * Create reusable documentations, presentations and code libraries during the projects
 * Participating in internal education and research tasks
 * Leading smaller data science tasks with the help of internal leadership and PMO


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