What are the responsibilities and job description for the Full Stack Data Scientist position at Asset Manager?
Job Title: Full Stack Data Scientist & Engineer
We are seeking a highly skilled and experienced Full Stack Data Scientist & Engineer to join our team. This individual will be responsible for maintaining and extending scalable data warehouses and data lakes, designing and implementing robust data pipelines, and providing operational support for our cloud infrastructure.
About Us
Our client is a global investment firm based in Menlo Park, with a mission to achieve the multi-generational goals and aspirations of our clients. We are a collaborative and innovative team that thrives in a fast-paced environment and is committed to generating superior returns for our clients.
About the Role
- Maintain and extend scalable data warehouses and data lakes.
- Design and implement robust data pipelines.
- Provide operational support for our cloud infrastructure.
- Build dashboards and applications to visualize and analyze data.
- Support other analysts in their use of data and analytical tools.
- Document data pipelines and processes for knowledge sharing.
- Stay up-to-date on the latest data engineering and data science technologies.
- Project planning and project leadership.
Requirements
- 4-6 years of experience in a data engineering or data science role.
- Demonstrated ability to independently lead and complete data-driven projects.
- Experience with the full data engineering and data science stack.
- Cloud administration and DevOps practices.
- Data warehousing and data lakehouse architectures.
- ETL tools and techniques.
- Programming languages (Python, SQL).
- Data visualization tools.
- Machine learning libraries.
What We Offer
Competitive compensation, bonus, and benefits package including health, life insurance, backup childcare coverage, and 401k benefits. Mid-senior level employment type, full-time job function.