General information

All posting locations: Remote, Pennsylvania, United States of America

Job Function: 16 - Digital

Date Published: 13-Jun-2023

Ref #: R-71048

Base Salary Range: $96,800.00 - $121,000.00

Target Total Cash Range: $121,000.00 - $151,250.00

Target Total Cash: Target total cash represents this role's annualized cash earning potential at target (base salary + target bonus). Target total cash is contingent on targeted company performance achievement and individual attainment of performance goals. Therefore, target total cash is not guaranteed earnings.

Compensation Disclaimer: The compensation offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.

Description & Requirements

WHAT YOU’LL DO

As a Senior Data Scientist- you will be a core member of one of our nimble- cross-functional teams – disrupting from inside of a global powerhouse.  You will help build our next generation of advanced analytics products using AI- Data Science- and Machine Learning.  Examples of problems you will solve include helping R&D determine the next generation of household products- revolutionizing consumer engagement with personally relevant content- and reinventing our supply chain to eliminate food waste. Furthermore- you will:

• Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers- analysts- developers- and sometimes chefs.
• Create repeatable- interpretable- dynamic- scalable models as the heart of new statistical products.
• Engineer new features by using your business acumen to improve analytical models.
• Collaborate to refine best practices and deploy best-in-class solutions.
• Evangelize the value of data-driven decision-making

WHO YOU ARE

• You have a Bachelor’s in Data Science- Computer Science- Engineering- or Statistics with 5+ years of experience.
• You have expertise in Python and/or R and are eager to learn other languages.
• You are proficient in machine learning to deliver clustering- time series- classification- regression- anomaly detection- simulation- and optimization queries.
• You have an aptitude in Big Data technologies like Hadoop- Spark- or distributed databases like Redshift and Snowflake.