Staff Data Scientist, Data Platforms

San Francisco Bay Area, CA (On-Site)

100000 - 400000

Job Description:

Are you a trailblazer in data science, passionate about shaping cutting-edge platforms that transform raw data into actionable insights? We’re on the hunt for a visionary Staff Data Scientist to join our team and lead our mission to redefine how data drives innovation.


In this role, you’ll leverage your expertise to design, optimize, and scale data platforms that fuel decision-making across the enterprise. You’ll collaborate with cross-functional teams of engineers, analysts, and business leaders to unlock the potential of big data, machine learning, and advanced analytics.


If you thrive in a fast-paced environment where your contributions will make a tangible impact, this is the place for you!


What You’ll Do


Architect and Innovate: Build and scale data pipelines, algorithms, and platforms that serve as the backbone of our decision-making processes.

Optimize Data Workflows: Develop cutting-edge solutions for data processing and analytics that enhance efficiency and scalability.

Collaborate: Work closely with engineers, product managers, and business leaders to align data strategies with organizational goals.

Advance Machine Learning Models: Design, deploy, and monitor ML algorithms to drive predictive insights and intelligent automation.

Mentor and Lead: Provide technical leadership, inspire a culture of innovation, and support junior team members in their professional growth.

What Makes You a Perfect Fit?


  • Expertise: 7+ years of experience in data science, data engineering, or a related field, with a strong focus on platforms and infrastructure.
  • Technical Mastery: Proficiency in Python, R, SQL, and distributed computing frameworks like Spark or Hadoop.
  • Data Enthusiast: Proven track record in big data technologies, cloud platforms (AWS, Azure, or GCP), and ETL processes.
  • Problem-Solving Pro: Ability to translate complex business needs into scalable data solutions.
  • Communication: Exceptional skills in articulating technical concepts to non-technical stakeholders.


Key Skills:

  • Staff Data Scientist, Data Platforms,
    Data Scientist

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