Senior Data Science Leader
4 weeks ago
We are seeking a highly skilled Senior Data Science Leader to join our team at 4 Staffing Corp. As a key member of our data science team, you will play a pivotal role in driving innovation and shaping our approach to data-driven decision-making.
As a Data Science Innovation Director, 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.
Key Responsibilities:
- Lead the development of data science solutions using machine learning and artificial intelligence
- Collaborate with cross-functional teams to drive innovation and improve decision-making
- Develop and implement data-driven strategies to enhance risk management and improve financial performance
Requirements:
- 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
Location: Northeastern USA - Hybrid/Remote (2-3 days per/week)
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