Director Data Science

Found in: Jooble US O C2 - 2 weeks ago


Boston MA, United States Understanding Recruitment Full time

Do you want to have a serious impact on people's lives?

Are you an ambitious Director, Data Science?

Are you a skilled data scientist with a passion for transforming raw data into actionable insights and driving innovation? Our client is actively seeking a talented Director, Data Science to join their team, playing a pivotal role in leveraging data to advance research, development, and decision-making in biotechnology.

Why Join Them?

  • Strategic Leadership: Lead the development and execution of data science strategies that drive scientific breakthroughs and business growth.
  • Innovative Environment: Be part of a company that values innovation and leverages data science to unlock new insights and opportunities in biotechnology.
  • Global Impact: Contribute to the success of a company making meaningful contributions to healthcare and scientific discovery on a global scale.

Key Responsibilities:

  • Data Science Strategy: Develop and implement a comprehensive data science strategy aligned with the company's goals, leveraging advanced analytics and machine learning to drive innovation and competitive advantage.
  • Team Leadership: Manage and inspire a high-performing team of data scientists, fostering a culture of collaboration, innovation, and excellence.
  • Cross-functional Collaboration: Collaborate closely with interdisciplinary teams of scientists, engineers, and business leaders to integrate data science methodologies into project workflows and drive collective innovation.
  • Data Governance: Establish and maintain robust data governance practices to ensure data quality, integrity, and compliance with regulatory requirements.

Qualifications:

  • Educational Background: Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.
  • Experience: Proven leadership experience in data science roles, with a track record of successfully implementing data-driven strategies and driving business impact.
  • Technical Proficiency: Strong proficiency in data science tools and programming languages such as Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Analytical Skills: Exceptional analytical and problem-solving skills, with the ability to translate complex data into actionable insights and strategies.

Requirements:

  • Communication Skills: Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, convey technical concepts to non-technical stakeholders, and influence decision-making at all levels of the organization.
  • Strategic Vision: Strategic mindset with the ability to think critically, anticipate future trends, and drive innovation through data-driven approaches.
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