ML / Optimization Engineer – Hybrid / Remote (New York, Chicago) – Up to $180,000

Company Overview

Mr partner is a data science, insights and media company. We work with consumer-packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the program to fuel a more customer-centric journey using Insights, Loyalty Marketing and our retail media advertising solution.

About the Role

The Stores, Assortment, and Space (SAS) team is looking for a Senior ML Engineer to join the team. This role will focus on developing technical solutions to support assortment decision-making, building packages and tools that will enable reliable and efficient execution and deliver best-in-class assortment data and sciences to internal and external stakeholders. The ideal candidate for this role should have strong technical skills and be comfortable collaborating cross-functionally with data scientists and data engineers to develop advanced analytical methods and scale them in production.

Responsibilities

• Experience implementing and evolving MLOps best practices
• Data engineering, automating ML workflows, experiment tracking, model registration, accuracy monitoring, model serving. 
• Evolve or develop methodologies and solutions for assortment and space optimization 
• Special focus is on item performance prediction models and optimization algorithms.
• Effective alignment of stakeholders and deliverables using documentation to ensure on-time delivery and acceptable output.
• Support the technical development of foundational assortment sciences and data products end-to-end, including documentation, CI/CD deployments, and input/output QA checks
• Identifying opportunities for standardization & automation of existing solutions and processes.
• Working closely with key internal stakeholders to ensure SLA’s are met for model pipeline; output accuracy is consistent, reliable, and reproducible.
• Partner with other technical experts (i.e. engineering, architecture) to identify and implement best practices in tech stack, tool usage, and code development. 

Qualifications, Skills, And Experience

• 2+ years of experience using Python or Pyspark to develop analytical solutions.
• 2+ years of experience with big data tools, and architecture (e.g. Kubernetes, Spark).
• 2+ years of experience with data wrangling/cleaning/prep.
• Experience with cluster specification and query execution optimization in Databricks. 
• Experience building or maintaining modular applications, pipelines, packages, or libraries.
• Passionate about technical solution development and code management best practices. 
• Demonstrates grit when solving complex and drawn-out methodological or scaling issues.
• Ability to work in a highly collaborative environment.
• Strong academic background in computer science, engineering, or similar discipline.
• Experience with neural networks a plus
• Grocery and/or retail experience is a plus.
  

Pay Range

Up to $180,000 (depending on experience and location).

How Do You Apply?

If you are interested in applying for the ML / Optimization Engineer role, please do so via the link on this page or contact Digital Republic on the phone or by email.

Contact Us To Find Out More

Get in contact with Digital Republic Talent by sending an email to [email protected]. Check out the website at www.digitalrepublictalent.com. You can also find out more on LinkedIn, Instagram or Facebook.