Data Scientist

Job Description

This is a remote position.

As a founding member of the data science team, you’ll be responsible for developing and delivering product analytics insights, building and enhancing machine learning models, addressing technical debt, and collaborating with cross-functional teams to improve our product. This is a hands-on role where you’ll work across the full data science lifecycle, from data exploration to production model deployment.

Responsibilities:

Contribute to our codebase with product innovations and utility functions, ensuring continuous improvement of our data science processes.
Lead quality assurance efforts to ensure high quality data flows into our machine learning models.
Collaborate with Customer Success and Product teams to gain insights into user needs and provide educational support regarding data-driven solutions.
Solve modeling-related issues, tackle bugs, and address technical debt within our machine learning infrastructure.
Work autonomously in a smaller team environment, handling end-to-end project responsibilities.
Follow and adhere to group’s standards such as SLAs, code styles, and deployment processes.
Assist the team in monitoring pipeline health via observability tools and metrics.
Participate in refactoring efforts as platform application needs evolve over time.

Requirements

Bachelor’s degree or higher in Data Science, Statistics, Mathematics or other hard sciences.
>= 1-2 years of experience in a Data Science industry role or an advanced degree from an appropriate field.
Tech Stack Requirements: Must have expertise in Python coding, SQL, data visualization tools, and (preferred) some experience with Pandas.
Experience building ML applications and interpreting associating output, including use of regression-based methods.
Exposure to working cross-functionally with other teams such as Product, Customer Success, and/or Data Engineering.
Experience connected to marketing and/or marketing mix models (mmm).
Comfort with an array of statistical concepts and methods; (nice to have) experience with Bayesian reasoning and/or causal inference.

Benefits

Work Location: Remote
5 days working