Required Senior Software Engineer (Core Analytics Engine)
Were a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!
You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.
What will you do?
Develop our core analytics engine that automatically turns data into concrete opportunities.
Work closely with our data team to build and take our analyses and DS models into production.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists.
Were a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!
You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.
What will you do?
Develop our core analytics engine that automatically turns data into concrete opportunities.
Work closely with our data team to build and take our analyses and DS models into production.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists.
Requirements:
5+ years hands-on experience with Python, including in data analysis (Pandas, NumPy)
Experience with SQL
Experience with machine learning pipelines and concepts
Ability to work independently and lead initiatives E2E.
Familiarity with Docker/Kubernetes Advantage
Experience with Spark/Dask Advantage.
5+ years hands-on experience with Python, including in data analysis (Pandas, NumPy)
Experience with SQL
Experience with machine learning pipelines and concepts
Ability to work independently and lead initiatives E2E.
Familiarity with Docker/Kubernetes Advantage
Experience with Spark/Dask Advantage.
This position is open to all candidates.