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Full Stack Data Scientist & Engineer

Full Stack Data Scientist & Engineer

Asset Managermenlo park, CA, United States
6 days ago
Job type
  • Full-time
Job description

Job Title :  Full Stack Data Scientist & Engineer

About Confidential / Stealth Asset Manager :

Our client is a is a global investment firm, based in Menlo Park, with a mission to achieve the multi-generational goals and aspirations of our clients. Rooted in the endowment style of investing, we seek balanced diversification in order to protect and grow multi-generational capital over the long term. We are committed to the highest professional standards as fiduciaries of our clients' capital and our firm.

We are a collaborative and innovative team that thrives in a fast-paced environment and is committed to generating superior returns for our clients. We value intellectual curiosity, creative thinking, and a passion for using data to drive investment decisions. We foster a culture of mentorship and collaboration, providing opportunities for professional growth and development.

We are looking for a full-stack Data Engineer / Scientist. The role involves maintaining and extending scalable data warehouses and data lakes, designing robust data pipelines, and building dashboards and applications to visualize and analyze data

However, there will be opportunities to take on expanded roles depending on the firm’s needs, personal interest and ability to take on more responsibilities :

We’re looking for someone who :

  • Has strong problem-solving skills and is an independent thinker
  • Displays excellent communication and interpersonal skills, especially with their internal customers
  • Takes initiative and a high degree of ownership and pride in their work
  • Connects with the high-level goals and can work independently
  • Is curious about new technologies and the investment industry
  • Seeks to understand the broader business (e.g., the clients, their problems, the opportunities)

Responsibilities :

  • Maintain and extend scalable data warehouses and data lakes to support business intelligence and analytics
  • Design, develop, and implement robust data pipelines to collect, transform, and store data from various sources
  • Provide operational support for our cloud infrastructure
  • Build dashboards and applications to visualize and analyze data
  • Constructing quantitative investment tools
  • 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

    • Experience :

  • 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, including :
  • Cloud administration and DevOps practices
  • Data warehousing and data lakehouse architectures and platforms (e.g., Databricks, Snowflake)
  • ETL tools and techniques (e.g., Airflow, dbt)
  • Programming languages (Python, SQL)
  • Designing and building analytical applications
  • Data visualization tools (e.g., Power BI, Sigma)
  • Machine learning libraries (e.g., Scikit-learn)

    • Compensation :   Competitive compensation, bonus and benefits package including health, life insurance, backup childcare coverage, and 401k benefits.