Join a forward-thinking company that prioritizes privacy in data collaboration. As a Lead Data Scientist, you'll blend technical expertise with leadership, guiding a team while driving hands-on projects.
This role is with a company that specializes in a privacy-preserving data collaboration platform. They enable businesses to share consumer insights while ensuring that actual customer data remains protected. As a Lead Data Scientist, you will play a crucial role in shaping the data strategy and leading a team of data professionals.
In your day-to-day work, you will be responsible for applying best practices in data lakehouse architecture, focusing on aspects like data grain, provenance, and traceability. You will also oversee the technical delivery of projects, ensuring that your team effectively utilizes tools like Delta Lake and Azure Synapse. This position requires a blend of hands-on technical skills and leadership capabilities, as you will be second-in-command to the Head of Data Science.
Key responsibilities include: • Leading data science initiatives and projects • Collaborating with cross-functional teams to drive data-driven decision-making • Ensuring data quality and governance through frameworks like Apache Ranger • Mentoring and guiding junior data scientists and engineers
To succeed in this role, you should have at least 7 years of experience in data science and analytics, with a strong background in data engineering. Your technical skills should include proficiency in PySpark, T-SQL, and data warehousing concepts. Leadership experience is also essential, as you will be guiding a team in a fast-paced environment. This role is ideal for someone who is passionate about data privacy and eager to lead innovative projects.
You'll be taken to the original listing on PNet to apply.