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Lead Data Scientist; AI​/ML​/NLP

Job in New York, New York County, New York, 10261, USA
Listing for: 10xTalents
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Lead Data Scientist (AI/ML/NLP)
Location: New York

About the job Lead Data Scientist (AI/ML/NLP)

Our client is in search of a talented
Lead Data Scientist to play a pivotal role in reshaping their approach to data-driven decision-making and innovation. In this role, you will collaborate with cross-functional teams to develop cutting-edge data science solutions using machine learning and artificial intelligence. Your contributions will drive enterprise-wide innovation, enhance risk management, and improve overall financial performance.

Qualifications:

  • Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics, or related field.
  • PhD with 6+ years of experience or Master's degree with 8+ years of experience, preferred.
  • 7+ years of hands-on ML modeling/development experience.
  • Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP).
  • Hands-on experience with GPU, distributed computing, and applying parallelism to ML solutions.
  • Strong programming skills in Python including PyTorch and/or Tensorflow.
  • Solid background in algorithms and a range of ML models.
  • Experience leading teams of four or more Data Scientists.
  • Excellent communication skills and the ability to collaborate cross-functionally with Product, Engineering, and other disciplines at both leadership and hands-on levels.
  • Excellent analytical and problem-solving abilities with superb attention to detail.
  • Proven leadership in providing technical guidance and mentoring to data scientists, with strong management skills to ensure enterprise success.

Locations:
Northeastern USA - Hybrid/Remote (2-3 days per/week)

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