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Senior Data Scientist | Onsite | Dallas, TX

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Motion Recruitment
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

We are a healthcare-focused investment firm leveraging data, advanced analytics, and technology to drive smarter investment decisions and operational insights. Our work sits at the intersection of finance, healthcare, and cutting-edge AI, and we are building a best-in-class data science function to support our growing platform.

Currently seeking a Senior Data Scientist to join our team and play a key role in designing, building, and deploying advanced analytical and AI-driven solutions. This role is ideal for someone with strong experience in financial data, a deep technical background, and hands-on expertise in Generative AI and conversational systems. You will work closely with investment professionals, engineers, and leadership to translate complex data into actionable insights.

Location

Onsite in Dallas, TX 4x a week

Required Skills & Experience
  • Design, develop, and deploy advanced analytics & ML models to support operational decision making
  • Build and optimize neural networks, LLMs, and NLP pipelines
  • Develop & integrate GenAI & Conversational AI systems
Desired Skills & Experience
  • Master's in Mathematics or other related fields
  • Prior experience in financial services
  • Exposure to MLOps tools & model monitoring
Compensation

Annual performance based bonus

You Will Receive The Following Benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

Posted By:
Madelynn Britton

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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