Remote: US

Overview

Good Data Studio specializes in unlocking the data for early-stage healthcare startups. Using the modern data stack, our distributed team embeds within client organizations for multi-month long projects. We mostly work with health tech companies who you will be proud to work with, we’re motivated to help the highest impact startups scale their services. We're a versatile group across data engineering, data science, actuarial sciences, and BI analytics.
We prioritize work-life balance, offering flexible working hours, flexible working arrangements, and professional growth. We’re open to hiring for this role either as part-time or full-time.

In this role you will work directly with clients, typically as the only ML/GenAI expert and you’ll typically work alongside other Good Data team members. For this reason, we’re looker for senior/lead-level engineers who have done this before and deployed ML solutions in production.

You can expect to be working on 2-3 client projects at a time and occasional internal-projects.

Responsibilities

• Design, develop, and deploy ML and GenAI solutions into production.

• Collaborate with client stakeholders to understand requirements and deliver efficient, accurate, and cost effective solutions.

• Build architecture diagrams and weigh alternative solutions, while providing recommendations based on business needs.

• Perform data cleansing, transformation, and enrichment tasks to improve data quality and usability.

• Collaborate with Good Data team members or client employees on projects.

• Provide training and technical support to client technical teams.

Qualifications

• 6+ years of experience in data engineering, data science, software engineering, and/or machine learning

• Successfully deployed multiple ML models and/or GenAI solutions into production

• Familiar with OpenAI, Pinecone, Anthropic, and other leading platforms in the space

• Not required, nice to haves: as a small team we look for experts in their own area, but ideally folks can also play other roles occasionally.

  • Experience implementing various ETL tools, orchestration solutions, and data warehouses, such as Airbyte, Meltano, Lambda or Cloud Functions, Airflow, Prefect, Dagster, BigQuery, Snowflake, etc.

  • Experience with dbt

  • Experience with BI tools

  • Experience in healthcare

How to Apply

• Email jacob@gooddata.studio with your resume attached, an email introducing yourself, and why you’re qualified and interested in this position.

Good Data Studio is an equal opportunity employer and we encourage people from all backgrounds to apply.