Associate Manager – Data Science

Associate Data Science Manager

Must Haves:

7+ years of professional experience as a data scientist in an enterprise level environment

Experience as lead/principal/management level

Masters or PhD – would consider bachelors with DS focus for someone strong

Strong Python skills

Databricks experience

Experience building models from scratch in enterprise environments

Experience building models that are in production, and ability to explain types of models used

Experience with personalization, RMN, marketing media/digital, or marketing mix modeling (MMM)

Day to Day:

My client is hiring for an Associate Data Science Manager. You would be joining a team for one of our large retail clients. The team they will join will be comprised of 6-8 team members – an associate manager, lead data scientist, product owner and two other data scientists. They will be working on many new projects and specific details will be shared before the interview based on the specific team that the candidate is interviewing with.

Data scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. Through these solutions, the data scientists drive material business value, mitigating business and operational risk, and significantly impacts the customer experience. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data.

What You’ll Be Doing:

Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance

Partner with product development to define requirements which meet system and customer experience needs for data science projects

Partner with merchandising, supply chain, operations and customer insights to understand the journey that will be improved with the data science deliverables

Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs

Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology

You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within digital services, merchandising, marketing, supply chain and operations.

Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow.

Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across data science, AI and retail.