# Sr Data Scientist – 1:1 Personalization, Audience and Experimentation

**Company**: Target
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $98,000.00 - $176,000.00
**Category**: Data Science
**Industry**: Retail

**Apply**: https://target.wd5.myworkdayjobs.com/en-US/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?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b5f066d8-2af

## Description

We are seeking a Senior Data Scientist to join our team, focusing on developing and managing state-of-the-art predictive algorithms for one-to-one personalization at scale. You will design, build, and deploy advanced models that deliver highly relevant, individualized experiences across marketing and digital channels.

**Responsibilities:**

- Model Development: Design, build, and optimize machine learning models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches.

- Experimentation & Measurement: Develop testing frameworks 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 machine learning and artificial intelligence, and evaluate their application for personalization use cases.

**Requirements:**

- 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, personalization/recommendations, applied machine learning, and deep learning.

- Strong hands-on experience in Python, SQL, and modern machine learning 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 machine learning models in production environments.

- Extensive problem-solving skills, motivated team player with ability to collaborate effectively across global teams, and excellent communication skills.

**Benefits:**

- Competitive salary: $98,000.00 - $176,000.00 per year

- Comprehensive health benefits and programs

- 401(k)

- Employee discount

- Short-term disability

- Long-term disability

- Paid sick leave

- Paid national holidays

- Paid vacation

## Skills

### Required
- Python
- SQL
- TensorFlow
- PyTorch
- Scikit-learn
- GCP Vertex AI
- Spark
- Databricks
- Snowflake
- Machine Learning
- Deep Learning
- Natural Language Processing

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Source: [Apply at target.wd5.myworkdayjobs.com](https://target.wd5.myworkdayjobs.com/en-US/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?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)