Software engineer jobs in Boston, MA

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Conga Verified 19h ago

Staff Data Scientist (AI/ML)

US - Boston, MAAll locationsUS - Boston, MAUS - Houston, TX Hybrid

$174,000–$278,400 a year
Pay$174,000–$278,400
TypeFull-time
Work settingHybrid
Verified listing

JobFig found this opening at its original source and checks that it remains available.

About the role

As a Staff Data Scientist, you will be a key technical leader responsible for shaping the strategy, development, and deployment of scalable, reliable, and innovative AI/GenAI and machine learning solutions. You will lead high-priority initiatives, set technical direction for data science programs, and ensure alignment with organizational goals. This role demands a high degree of expertise in machine learning, statistical modeling, and applied AI, along with strategic thinking and the ability to collaborate effectively across diverse teams while mentoring and elevating others to meet a very high technical bar. Are you the person we’re looking for?

What you'll bring

  • 10+ years of professional experience in data science, machine learning, or AI, including 5+ years working on AI/ML or GenAI solutions.
  • Proven track record of developing, deploying, and scaling production-grade machine learning models and data-driven solutions.
  • Deep expertise in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, and LangChain.
  • Advanced knowledge of machine learning algorithms, statistical modeling, experimentation methodologies, generative models, and LLMs.
  • Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern MLOps practices.
  • Strong understanding of feature engineering, model evaluation, causal inference, data pipelines, and database systems (SQL/NoSQL).
  • Leadership Skills.
  • Demonstrated ability to lead complex data science initiatives, influence cross-functional teams, and mentor data scientists at all levels.
  • Problem-Solving Skills.
  • Exceptional analytical and problem-solving skills, with a proven ability to navigate ambiguity and deliver impactful, data-driven solutions.
  • Collaboration.
  • Excellent communication and interpersonal skills, with the ability to engage and inspire both technical and non-technical stakeholders.

Locations

US - Boston, MAUS - Houston, TX