Data Scientist

Partify Inc.
Pleasant Ridge, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Pleasant Ridge, United States of America

Tech stack

Microsoft Excel
Code Reuse
Web Development
Python
NumPy
Regular Expressions
Shopify
SQL Databases
GIT
Pandas
Information Technology
Software Coding
Data Pipelines

Job description

We're looking for a Data Scientist who is, first and foremost, a strong programmer. You'll keep our catalog accurate and consistent. You'll load new products. You'll make big updates to thousands of listings at once. And you'll build the scripts that keep our product, paint code, and fitment data clean. We're always adding new products and brands, and you'll be the one who gets that data in cleanly. This is hands-on coding work. It is not dashboards or reports.

The right person writes clear, reliable Python. You're not thrown off by messy data. You'd rather automate a task once than do it by hand a thousand times. You'll work closely with our data and web development teams.

Key Responsibilities

Keep our catalog correct and consistent across tens of thousands of products.

Upload new products. Add new brands and product lines as we grow.

Write Python to clean, check, and bulk-load large product files.

Build and maintain scripts that keep the catalog correct over time.

Make mass changes to prices, titles, descriptions, and other fields across thousands of items at once.

Manage product data in Shopify, including metaobjects, to model parts, paint codes, and fitment.

Automate routine data tasks so they run on their own.

Work with supplier feeds and match them to our catalog in code.

Clean up messy text using regex and fuzzy matching.

Catch and fix data problems before they reach the site. Build checks to catch them on their own.

Requirements

Strong Python skills are required.You write clean, clear code (pandas, NumPy, or similar).

You can build scripts and small data pipelines from scratch.

You're strong with SQL and can pull data from more than one place.

Experience with Shopify - and metaobjects - is a big plus.

You're at ease with large data files. Excel skills are a plus.

You can clean and match messy text (regex, fuzzy matching).

You're careful with detail when working at scale - thousands of records at a time.

You can work on your own and finish what you start.

Nice to Have

Degree in Computer Science, Data Science, or a related field.

1-3 years in a data, software, or analytics role.

Background in online retail or product data work.

Some exposure to auto parts data or product fit data.

Experience adding products from supplier feeds or new brands.

Experience with Git and writing tested, reusable code.

Benefits & conditions

Competitive salary.

HMO medical plans.

Dental and vision coverage.

401(k) with company match.

Paid holidays and sick time.

Employee discounts.

Please Note: Partify Inc. is unable to sponsor employment visas at this time.

Please Note: Partify Inc. may use AI tools to assist in initial application review. All hiring decisions are made by human team members.

About the company

Partify Inc. is a fast-growing online store. We sell painted car parts across North America. We have tens of thousands of parts. Each one is painted to match a paint code and built to fit a certain vehicle. Our job is to keep that catalog correct and add to it. That's what this role is all about., Partify is building the future of painted automotive parts. Our team focuses on operational efficiency, data driven decision making, and scalable systems that support rapid growth. This role offers the opportunity to work directly with experienced technical leadership while contributing to the systems that power our e-commerce, manufacturing, and logistics operations. You will gain hands on experience building scalable solutions and play a meaningful role in the company's growth.

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