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Senior Lead Data Scientist

Quantum Analytics Group
San Francisco
Salary Estimate
USD 175.000 – USD 225.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to shape the future of predictive intelligence? Quantum Analytics Group is seeking a visionary Senior Lead Data Scientist to join our elite product intelligence team in San Francisco. In this role, you will lead high-impact machine learning initiatives, turning complex multi-structured data into powerful predictive engines that drive strategic enterprise growth.

We offer a high-performance environment where advanced statistical modeling, deep learning, and MLOps intersect. You will collaborate directly with executive stakeholders and lead a brilliant team of engineers to build scalable, production-grade systems that impact millions of users globally.

Responsibilities

  • Lead the conceptualization, development, and deployment of production-grade machine learning and deep learning models.
  • Collaborate closely with cross-functional product and engineering teams to seamlessly integrate predictive models into core features.
  • Extract, clean, and analyze high-velocity, high-volume datasets to identify hidden patterns and actionable business opportunities.
  • Architect and implement robust MLOps workflows to streamline continuous model training, testing, and deployment.
  • Design, monitor, and analyze advanced A/B experiments to rigorously measure algorithm performance and business impact.
  • Provide technical mentorship and guidance to junior and mid-level data scientists, fostering a culture of innovation and scientific excellence.

Qualifications

  • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a highly quantitative field.
  • 5+ years of hands-on experience as a Data Scientist, with a proven track record of deploying predictive models into production.
  • Expert-level proficiency in Python and SQL, along with deep familiarity with packages like Pandas, NumPy, and Scikit-Learn.
  • Extensive experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) and cloud platforms (AWS, GCP, or Azure).
  • Strong command of big data architectures and query tools such as Apache Spark, Snowflake, or Databricks.
  • Outstanding communication skills with the unique ability to translate complex quantitative results into strategic business narratives.

Required Skills

Data Science Machine Learning Python PyTorch SQL MLOps Deep Learning Predictive Modeling Apache Spark Snowflake

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