> Markdown version of [/jobs/ext/3701123-sr-applied-data-scientist-personalization-applied-ml-pytorch-ml-ops](https://www.wearedevelopers.com/jobs/ext/3701123-sr-applied-data-scientist-personalization-applied-ml-pytorch-ml-ops). 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 Applied Data Scientist - Personalization (applied ML, PyTorch, ML Ops) - **Company:** Target Brands, Inc. - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $98,000.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Automated Storage and Retrieval Systems, Big Data, Computer Programming, Python (Programming Language), Machine Learning, Standard Sql, Pytorch, Apache Spark, Deep Learning, Information Technology, Machine Learning Operations - **Published:** October 12, 2026 - **Apply:** https://www.minneapoliscareersite.com/job.asp?id=3438491540&tx=ZT1514TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant work experience * 3 plus years of experience developing machine learning models using deep learning frameworks such as PyTorch or JAX * Experience building recommendation, personalization, search, ranking or retrieval systems at scale * Strong programming skills in Python and SQL * Demonstrated experience with optimization, statistics, probability and experimental design * Experience evaluating models through offline analysis on large-scale datasets and online experimentation, including statistical analysis and interpretation of results * Knowledge of large-scale data processing and analytics platforms such as Spark * Extensive experience leveraging generative AI tools to accelerate development, experimentation and model delivery * Ability to communicate complex technical concepts and results to both technical and non-technical audiences * Demonstrated ability to translate business problems into scalable data science solutions * Self-driven, results-oriented and able to meet tight deadlines * Motivated team player who thrives in a collaborative - global environment