Data Science Manager

3 months ago

San Francisco, United States Unreal Gigs Full time
Job DescriptionJob Description

Company Overview: Welcome to the forefront of data-driven innovation At our company, we're dedicated to leveraging the power of data to drive insights and inform strategic decision-making. Our mission is to develop cutting-edge data science solutions that transform industries and drive business success. Join us and be part of a dynamic team committed to shaping the future of data science.

Position Overview: As a Data Science Manager, you'll lead a team of talented data scientists in developing and implementing data science solutions that drive business value and innovation. Working closely with cross-functional teams, you'll shape our data science strategy, mentor team members, and drive the execution of data science initiatives. If you're passionate about leading teams, driving innovation, and delivering impactful data science solutions, we want you on our team.

Requirements

Key Responsibilities:

  1. Team Leadership: Lead and mentor a team of data scientists, providing guidance, support, and coaching to drive performance and professional growth.
  2. Data Science Strategy: Develop and execute the data science strategy, identifying opportunities to leverage data science to drive business value and competitive advantage.
  3. Project Management: Oversee the end-to-end execution of data science projects, from problem definition and data exploration to model development and deployment.
  4. Collaboration: Collaborate with cross-functional teams to understand business requirements, gather insights, and translate them into data science solutions.
  5. Model Development: Lead the development and implementation of advanced analytical models and algorithms to solve complex business problems and drive insights.
  6. Data Governance: Ensure data integrity, accuracy, and compliance with data governance policies and standards, implementing quality assurance processes and governance mechanisms.
  7. Stakeholder Engagement: Engage with stakeholders at all levels of the organization to communicate data science initiatives, gather requirements, and deliver actionable insights and recommendations.
  8. Continuous Improvement: Identify opportunities to improve data science methodologies, processes, and tools, optimizing efficiency and effectiveness.

Qualifications:

  • Master's degree or PhD in Computer Science, Statistics, Mathematics, or related field.
  • 5+ years of experience in data science, with a proven track record of leading and managing data science teams.
  • Strong leadership skills, with experience in coaching, mentoring, and developing team members.
  • Expertise in data science techniques and methodologies, including machine learning, statistical analysis, and predictive modeling.
  • Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries.
  • Experience with data visualization tools and techniques for communicating insights to stakeholders.
  • Strong problem-solving abilities and critical thinking skills.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

  • Competitive salary: The industry standard salary for Data Science Managers typically ranges from $170,000 to $250,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact across diverse industries.

Join Us: Ready to lead a team of talented data scientists in driving innovation through data science? Apply now to join our team and be part of an exciting journey of discovery and impact

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