Join a cutting-edge company focused on privacy-preserving data collaboration as a Lead Data Scientist. You'll play a key role in shaping data strategies while leading a talented team in delivering impactful data solutions.
As a Lead Data Scientist at this innovative company, you will be at the forefront of developing a privacy-preserving data collaboration platform. Your role will involve combining senior technical leadership with hands-on data science work, making you a vital part of the team. You will work closely with the Head of Data Science and will be responsible for guiding the team in implementing best practices in data management and analytics.
Your day-to-day responsibilities will include applying your expertise in Data Lakehouse architecture, ensuring data quality, and overseeing the integration of various data sources. You will also lead efforts in data engineering, utilizing tools like Delta Lake and Azure Synapse to optimize data processing and analytics. This role is ideal for someone with a strong background in data science and analytics, who is also looking to take on a leadership position.
Key responsibilities include: • Leading a team of data scientists and analysts • Implementing data governance frameworks • Ensuring data provenance and traceability • Collaborating with cross-functional teams to deliver data-driven insights
To succeed in this role, you should have at least 7 years of experience in data science or analytics, with a significant focus on recent data science practices. Additionally, 2 years of experience in a technical leadership role is essential. Proficiency in PySpark, Delta Lake, and Azure Synapse is crucial, along with a solid understanding of SQL. If you are passionate about data ethics and want to make a real impact in the data landscape, this position is for you.
You'll be taken to the original listing on PNet to apply.