> Markdown version of [/jobs/ext/2043764-sr-data-scientist-advanced-machine-learning](https://www.wearedevelopers.com/jobs/ext/2043764-sr-data-scientist-advanced-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Scientist - Advanced Machine Learning - **Company:** Target Brands, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Data Analysis, Big Data, Encodings, Computer Programming, Data Structures, Elasticsearch, Apache Hadoop, Apache Hive, Python (Programming Language), Automation of Marketing, Tensorflow, Software Engineering, SQL Databases, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Kubernetes, Information Technology, Docker - **Published:** August 13, 2026 - **Apply:** https://target.wd5.myworkdayjobs.com/targetcareers/job/Tower-02-Manyata-Embassy-Business-Park-Racenahali--Nagawara-Villages-Outer-Ring-Rd-Bangalore-540065/Sr-Data-Scientist---Advanced-Machine-Learning_R0000449074/apply ## About the Role * Bachelor's/MS/PhD in Mathematics, Statistics, Computer Science, or other related fields. * 4+ years of relevant experience. * Strong analytical thinking. Ability to creatively solve business problems, innovating innovative approaches where required. * Ability to clean, transform, manipulate, and analyse 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 effectively 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 settings. ## Description 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., As a Senior Data Scientist at Target, you will get an opportunity to design, develop, deploy and maintain data science models and tools. You'll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You'll also collaborate with AI/ML engineers and data scientists on peer teams to build and productionize groundbreaking GenAI based solutions for various teams. In this role as a Senior Data Scientist, you will: * Analyse 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)