Senior Data Scientist (US)

Lynx AnalyticsBridgewater, NJ
1d

About The Position

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.

Requirements

  • More than 8 years of overall experience in data science field.
  • 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
  • Coding abilities at least one of the following languages: Python (preferred), R, SAS, C, JAVA (or similar)
  • Solid experience in LLM / NLP

Nice To Haves

  • Experience in the life sciences industry is preferred

Responsibilities

  • 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

Benefits

  • 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
  • Flexible work hours, remote-friendly setup
  • Flat organisational hierarchy with high visibility and accessibility to our leaders
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