Join a cutting-edge company focused on privacy-preserving data collaboration as a Lead Data Scientist. You'll lead a team while also getting hands-on with data science projects, making a real impact in the industry.
As a Lead Data Scientist at this innovative company, you'll play a crucial role in shaping the future of data collaboration while ensuring consumer privacy. The company operates a platform that allows organizations to share insights without compromising customer data, making it a leader in ethical data practices. Your role will involve both strategic leadership and hands-on technical work, making it ideal for someone with a strong background in data science and analytics.
In your day-to-day work, you'll be responsible for applying best practices in data lakehouse architecture, focusing on aspects like data grain, provenance, and reconciliation. You'll lead a team of data scientists and engineers, guiding them in the use of technologies such as Delta Lake, PySpark, and Azure Synapse. Your experience in data warehousing and analytics will be essential as you oversee the development of data solutions that meet the company's high standards for privacy and security.
To succeed in this role, you should have at least 7 years of experience in data science and analytics, with a strong emphasis on recent data science work. Additionally, your leadership experience should span at least 2 years, showcasing your ability to mentor and guide a technical team. Familiarity with data governance frameworks and distributed data processing will also be beneficial.
This position is perfect for someone who thrives in a collaborative environment and is passionate about leveraging data for good. If you're ready to take on a leadership role while still engaging in hands-on data science work, this opportunity could be a great fit for you.
You'll be taken to the original listing on PNet to apply.