As a Lead Data Scientist, you'll be at the forefront of delivering advanced data solutions while mentoring a team of data scientists. This role is perfect for someone with extensive experience in data science and a passion for leadership.
In this role, you will lead the delivery of advanced data science solutions in a production environment. Your responsibilities will include guiding the data science team, providing technical leadership, and mentoring junior data scientists to enhance their skills. You will also work with lakehouse architectures and contribute to data warehouse and analytics initiatives, ensuring that the team is aligned with the latest industry practices.
You will be expected to have a strong background in data science, data analytics, and data warehousing, with at least seven years of relevant experience. Your expertise in PySpark, feature stores, and training-data versioning will be crucial for the success of the projects you oversee. Additionally, familiarity with schema evolution and Azure Synapse Analytics will be beneficial.
This position is ideal for someone who enjoys both hands-on technical work and leadership responsibilities. You will thrive in a collaborative environment where innovation is encouraged, and your contributions will directly impact the team's success. If you are passionate about data science and eager to mentor others, this role could be a great fit for you.
Key requirements include: • 7+ years of experience in data science, data analytics, or data warehousing • Strong technical skills in PySpark and data warehousing solutions • Proven ability to mentor and lead a team of data scientists • Experience with lakehouse architectures and analytics initiatives
This is a permanent remote position, allowing you to work from anywhere while being part of a dynamic and forward-thinking team.
You'll be taken to the original listing on PNet to apply.