Target
Retail
LeadDataScientist-CompIntel
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“Lead Data Scientist- Comp Intel at Target. Skills: AI/ML systems at scale, NLP, deep learning, GenAI, Agentic AI, Transformers, LLMs, RAG, multi-agent systems, Python, SQL, Spark. Leading the design, development, productionization and ongoing upkeep of AIML systems across Competitive Product Classification, Matching and Validation. Owning technical direction for a problem area: defining strategy, influencing roadmaps, setting quality bars, and driving execution through a team of scientists and e”
What You'll Achieve.
creating massive business impact; build best in-class data products; measurable metrics; measurable business impact
Industry & Context.
analytical thinking; applied research skills; analytical thinking and applied research skills: ability to build evaluation frameworks, perform error analysis, and iterate based on data and user outcomes
What They're Looking For.
Must Have
4-year degree in a quantitative discipline (Science, Technology, Engineering, Mathematics) or equivalent practical experience, 7+ years of professional data science / applied ML experience (or equivalent), hands-on programming skills in Python, SQL, and Spark, comfort working closely with engineering stacks for online inference, data pipelines, and model lifecycle tooling on GCP or similar cloud provider
Nice to Have
Publications or accepted papers/posters in industry tracks at top-tier conferences (e.g. , SIGIR, KDD, WWW, NeurIPS, ICML, ACL, EMNLP, RecSys), or equivalent demonstrated external technical contributions (open-source, patents, invited talks), Experience operating AIML systems at scale: latency/throughput constraints, model monitoring, drift detection, experimentation platforms, and production incident learnings, including LLM system evaluation, retrieval quality metrics, and agent reliability/observability
What You'll Do.
productionization and ongoing upkeep of AIML systems across Competitive Product Classification
Matching and Validation
Owning technical direction for a problem area: defining strategy
and driving execution through a team of scientists and engineers
Architecting end-to-end solutions that integrate AIML modeling
experimentation (offline + online)
and engineering systems for scalability
including transformer based models
and retrieval-augmented generation (RAG) pipelines
Developing a multiyear vision for key ML & AI capabilities Competitive Intelligence
aligned to business outcomes and measurable metrics
Serving as a technical leader and mentor
raising the bar for scientific rigor
and best practices across the organization
How You'll Work.
Team & Collaboration
driving execution through a team of scientists and engineers; influencing technical and non-technical stakeholders; drive decisions in reviews; operate as a multiplier across teams
Communication Scope
Excellent communication skills: able to influence technical and non-technical stakeholders, write clear RFCs/design docs, and drive decisions in reviews
Process & Methodology
defining strategy, influencing roadmaps, setting quality bars, driving execution, Developing a multiyear vision
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 Merchandizing, Marketing, Supply Chain Optimization, Network Security and Personalization rely on. **Team Overview** Target- **Data Science Competitive Intelligence **team is offering an exciting opportunity to solve state-of-the-art problems for Competitor Product matching. The team is rapidly growing and creating massive business impact by building cutting edge systems. We use NLP, deep learning, classical machine learning, transformers based architectures, and GenAI/Agentic AI (including RAG pipelines, LLM-powered agents,
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