# Data Scientist, Corporate

**Company**: YipitData
**Location**: US Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $170K
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/yipitdata/jobs/8045383?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_072c023d-07d

## Description

We are looking for a Data Scientist to join our core Panel Science team. As a Data Scientist, you will work across a highly sophisticated data engine that bridges foundational statistical modeling, complex data infrastructure, and advanced analytical product architecture.

Responsibilities:

- Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics.

- Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures.

- Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries.

- Partner closely with Data Engineering to optimize code performance and scale analytical workflows.

Requirements:

- 4–5 years of professional data science experience.

- Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline).

- Exceptional expertise in working with, modeling, and optimizing for statistical distributions.

- Advanced proficiency in Python or R and expert-level SQL.

Nice to Have:

- Direct experience working with panel data or longitudinal consumer data.

- Hands-on experience analyzing receipt data or transaction-level consumer data.

- Experience working with Databricks and scaling advanced compute workloads.

What We Offer:

- Competitive salary up to $170K + bonus element.

- Comprehensive benefits, perks, and equity.

- Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!

## Skills

### Required
- Python
- R
- SQL
- statistical modeling
- data infrastructure

### Nice to have
- Databricks
- panel data
- longitudinal consumer data
- receipt data
- transaction-level consumer data

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/yipitdata/jobs/8045383?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)