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# Sr Applied Data Scientist - 1:1 Personalization, Audience and Experimentation (applied ML, PyToch, A/B testing)

- **Company:** Target Brands, Inc.
- **Location:** Brooklyn Park, MN, United States
- **Experience:** Expert
- **Salary:** $98,000.0 - $176,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Big Data, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Tensorflow, SQL Databases, Web Platforms, Reinforcement Learning, Real Time Systems, Pytorch, Large Language Models, Snowflake, Apache Spark, Google Vertex AI, Deep Learning, Scikit Learn, Databricks
- **Published:** October 21, 2026
- **Apply:** https://target.wd5.myworkdayjobs.com/targetcareers/job/7000-Target-Pkwy-NNCD-0375-Brooklyn-ParkMN-55445/Sr-Applied-Data-Scientist---1-1-Personalization--Audience-and-Experimentation--applied-ML--PyToch--A-B-testing-_R0000454434/apply

## About the Role

* 4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics, Statistics) or equivalent industry experience
 * 3+ years of applied data sciences experience, end to end with digital marketing and measurement teams
 * Experience with statistical tools of A/B testing both at the customer level as well as matched-market testing
 * Strong hands-on experience in personalization/recommendations, applied ML, NLP, and deep learning
 * Experience with real-time systems, online learning, and recommendation algorithms at scale
 * Demonstrated proficiency in Python, SQL, and modern ML libraries such as TensorFlow, PyTorch, Scikit-learn
 * Experience with large-scale data platforms - GCP Vertex AI, Spark, Databricks, Snowflake, etc.
 * Proven track record of building and deploying applied ML models in production environments
 * Extensive problem-solving skills: develop creative and innovative solution to help solve real-world business problems using data sciences approaches
 * Motivated, team player with ability to collaborate effectively across global team
 * Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives, Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

## Description

* Model Development: Design, build, and optimize ML models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches
 * Experimentation & Measurement: Develop testing frameworks (A/B, multi-armed bandits, causal inference) to rigorously measure the impact of personalization initiatives within marketing optimization
 * Collaboration: Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions
 * Scalability & Deployment: Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance
 * Innovation: Stay current on advances in ML/AI (deep learning, embeddings, transformers, large language models, reinforcement learning) and evaluate their application for personalization use cases

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.