​​​​​​​Data Scientist in retail

Data Scientist in retail

Must have recent Retail industry experience (or grocery specifically which would be that much better, but at least retail)

Can sit 100% remote during the contract duration, but since they want to convert this person eventually, there will then be a 3 day / week onsite requirement. Quincy, MA or Chicago office.

6 months contract to hire

Video interview

Strong with Python as a Data Scientist

Must have experience working with Marketing – specifically with consumer level modeling

Must have Forecasting experience – Demand or Volume Forecasting

Time series

Must have recent Retail industry experience or grocery specifically as a nice to have

Knows the whole lifecycle of whole data science project initiation to deployment, like docker CI/CD Jenkins terraform

Soft skills, tech lead for a project and work with other tech teams

Pyspark – Strong good to have

Databricks – Strong good to have

The team supports customer segmentation and modeling work. They also focus on forecasting capabilities, so they will be doing volume forecasting on several intiiatives

Fulfillment work - batch optimization work. Additional forecasting piece environmental friendly initiatives - plastics, carbon admission, predict healthy items.

Team Environment – Adam the Director, 2 managers under him. Each manager has a team of 3.

Job Description:

Senior Data Scientist role

This position will involve applying advanced analytics to extract actionable insights from complex datasets, facilitating data-driven decision-making across the organization. The Resource will design and implement predictive models, optimizing business processes

through the development of machine learning algorithms. The focus is on delivering measurable outcomes, enhancing productivity, and improving resource allocation. The lasting impact of these contributions will be the integration of data-driven decision-making

into the ADUSA organizational framework, positioning ADUSA at the forefront of innovation in the industry.

Location: Remote Position

Tasks/Deliverables

• Building the production codebase for the Advanced Analytics models

• Creating training pipelines

• Creating inference pipelines

• Apply advanced analytics for actionable insights

• Implement predictive models with a focus on machine learning for optimization

• Collaborate on data-driven solutions for business challenges

Skills

• • Python, Databricks-PySpark framework

• • libraries: Prophet, Nixtla, itertools, scitkitlearn, etc

• • Data/Training pipeline development, EDA, Feature Engineering, Model delivery, etc.

• • Forecasting and Time Series analysis

• Forecasting, demand forecasting, time series

• Time series is forecasting future values for product sales, product unit sales

• Worked in retail and grocery

• Classic ML/data science methods

• Pyspark/python

• Lifecycle of whole data science project initiation to deployment, like docker CI/CD Jenkins terraform

• Soft skills, tech lead for a project and work with other tech teams

• Coordinating that daily and managing

• Should be able to do own literature and be a senior