Lead Data Scientist Advanced Machine Learning

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale

Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on

Team Overview

Our Generative AI team oversees the development of a platform which will allow various product & engineering teams to leverage GenAI based solutions in an eEective manner

We also support various teams within Target so that they will be able to build productsas per Target standards regarding use of responsible AI

As a Lead Data Scientist at Target, you will get an opportunity to design, develop, deploy and maintain data science models and tools

Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs

Youll also collaborate with AI/ML engineers and data scientists on peer teams to build and productionize groundbreaking GenAI based solutions for various teams

Position Overview

Analyze large datasets for insights leading to business process improvements or solution development

Contribute to the research, design, and implementation of leading-edge generative AI technologies to address and solve complex problems that contribute to finding solutions for the retail world

Work with Multimodal LLMs, enhance model performance, fine-tune LLMs

Work with the team to build and maintain complex software systems and tools

Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members

Produce clean, efficient code based on specifications

Coordinate the analysis, troubleshooting and resolution of issues in the models and software

Requirements

Bachelors/MS/PhD in Mathematics, Statistics, Computer Science, or other related

fields

8+ years of relevant experience

Ability to lead by example a group of Data Scientists

Strong analytical thinking

Ability to creatively solve business problems, innovating innovative approaches where required

Ability to clean, transform, manipulate, and analyze large datasets for insights leading

to business process improvements or solution development

Experience in developing, testing, and maintaining large codebases in a collaborative environment, while meeting industry best practices

Highly proficient in programming skills in Python, SQL, Hadoop/Hive

Exposure to programmatic use of GenAI/LLMs and related ecosystem

Experience in developing Deep Learning based solutions using PyTorch or TensorFlow

Self-driven and results oriented

Willing to stretch to meet tight timelines

Strong team player with ability to collaborate eEectively across geographies/ time zones

Excellent written and verbal communication skills

Preferred Qualifications

Knowledge of containerized solutions using Docker/ Kubernetes

Exposure to Prompt Engineering, Embedding Generation, Retrieval Augmented Generation(RAG) space (e g

, Vector DB, Elastic Search) will be plus

Knowledge of Computer Vision & Deep Learning Methods

Good working Knowledge of Mathematical and statistical concepts, optimization, data structures and algorithms, data analysis, visualizations, and applications of same in a variety of business problems

Experience deploying solutions with large-scale business impact in commercial