> Markdown version of [/jobs/ext/1621929-sr-applied-data-scientist-recsys-applied-ml-pytorch-ml-ops](https://www.wearedevelopers.com/jobs/ext/1621929-sr-applied-data-scientist-recsys-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 - RecSys (applied ML, PyTorch, ML Ops) - **Company:** Target Brands, Inc. - **Location:** Brooklyn Park, 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:** July 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b612865a8f3df300 ## 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, Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [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) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)