Target
Retail
LeadDataScientist-AML
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“Lead Data Scientist- AML at Target. Skills: Generative AI, LLMs, Python, SQL. Analyze large datasets for insights. Contribute to research, design, implementation of generative AI”
What You'll Achieve.
Deliver world-class outcomes; Build algorithms that power solutions
Industry & Context.
Solve complex problems; Creatively solve business problems
What They're Looking For.
Must Have
Bachelor's/MS/PhD in Mathematics, Statistics, Computer Science, or other related fields, 8+ years of relevant Ability to lead by example a group of Data Scientists, Strong analytical Ability, Ability to clean, transform, manipulate, and analyze large datasets, Experience in developing, testing, and maintaining large codebases, Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Exposure to programmatic use of GenAI/LLMs
Nice to Have
Knowledge of containerized solutions using Docker/ Kubernetes, Exposure to Prompt Engineering, Embedding Generation, Retrieval Augmented Generation(RAG) space (e. g. , Vector DB, Elastic Search), Knowledge of Computer Vision & Deep Learning Methods, Good working Knowledge of Mathematical and statistical concepts, optimization, data structures and algorithms, data analysis, visualizations, Experience deploying solutions with large-scale business impact in commercial settings
What You'll Do.
Analyze large datasets for insights
Contribute to research
implementation of generative AI
Work with Multimodal LLMs
Enhance model performance
Build and maintain complex software systems
Adopt modular architecture
How You'll Work.
Team & Collaboration
Collaborate with applied data scientists, data analysts, business partners; Collaborate with AI/ML engineers and data scientists on peer teams; Collaborate effectively across geographies/ time zones
Communication Scope
Excellent written and verbal communication skills
Full Job Description
**About Us:** As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. **Overview about TII:** At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations. **Pyramid Overview:** 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, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners 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 effective manner. We also support various teams within Target so that they will be able to build products as per Target standards regarding use of responsible AI. **Position Overview:** Our Generative AI team oversees the development of a platform which will allow va
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