As a Lead Data Scientist, you'll guide a team of data scientists while driving advanced data science solutions. This role is perfect for someone with extensive experience who enjoys mentoring and technical leadership.
In this role, you will lead a team of data scientists, providing mentorship and technical guidance to enhance their skills and capabilities. Your primary focus will be on delivering advanced data science solutions in a production environment, ensuring that your team meets project goals effectively. You will also engage with senior stakeholders, making sure that the data science initiatives align with business objectives.
Your day-to-day responsibilities will include working with lakehouse architectures and feature stores, as well as managing training-data versioning. You will contribute to data warehouse projects and analytics initiatives, ensuring that the data is well-structured and accessible for analysis and visualization. This position requires a strong background in data science, data analytics, and data warehousing, with a particular emphasis on recent data science experience.
To thrive in this role, you should have at least 7 years of experience in the field, with a solid understanding of tools like PySpark and Azure Synapse Analytics. Your ability to mentor others and lead technical discussions will be crucial, as will your expertise in data warehousing and analytics. If you are passionate about data science and enjoy guiding others, this position could be a great fit for you.
Overall, this Lead Data Scientist role is ideal for someone who is not only technically proficient but also enjoys fostering the growth of their team. If you are ready to take on a leadership position and drive impactful data science solutions, we encourage you to apply.
You'll be taken to the original listing on PNet to apply.