Our client is an early-stage startup on a mission to help people feel good through better metabolic health.

They do this by providing everyone access to their metabolic health data through a continuous glucose monitor and combining it with magical software to provide actionable insights related to nutrition and performance.

roles:

Data Scientist:

They're looking for an A-player Data Scientist to join our team of +20 people. You'll be involved in turning data from thousands of users to insights on products. here are a few responsibilities you will have in this role:

• Assisting Growth team in their efforts of turning noise to signal.
• Shaping up their data strategy and working closely with their larger product team in defining the future of their product.
• Extracting impactful markers from glucose and lifestyle data together with our Director of Health and pool of researchers.
• Working together with their Product Leads, Engineers, and Designers to productise your solutions.

the expectations for this role:

• You have 2+ years of experience working in a similar role.
• You can readily learn most technologies as you go & you agree that technologies are tools, not an ideology.
• You have serious hustle boiling inside of you.

Data Engineer:

They're looking for a Data Engineer to ensure they always have accurate, accessible and actionable data from all their product and marketing data sources.

• Developing, testing and implementing data solutions such as databases, queries, views, reports, and dashboards.
• Working with data analysts to support new and ongoing research projects.
• Creating scalable, efficient, automated processes for large scale data analyses.
• Building, monitoring and maintaining ETL/ELT pipelines and custom pipelines

Expectations:

• Experience with data-science oriented languages and/or frameworks (eg. Python, Julia, R, SQL / Pandas, NumPy, SciPy).
• Experience in working with relational databases (eg. PostgreSQL).
• Experience with database and other infrastructure maintenance/tuning.
• Experience in ETL process development and related tools (eg. Airflow).
• Familiarity with concepts like containers and Docker.
• Bachelor's or higher in computer or data science or related subject, or alternatively a minimum of 5 years of working in the field.

Contact Name: Jason Upton
Reference: TJ/3086/06/05/22_1651847901
Job ID: 3085627