Sr Applied Data Scientist - Personalization (applied ML, PyTorch, ML Ops)
About The Position
The Sr Data Scientist will work on the Target Data Science Recommendations team, collaborating with data scientists, machine learning engineers, and product managers to build and augment AI-driven digital Recommendation products. This role involves performing data exploration and analysis, implementing algorithmic solutions, deploying solutions to production, and analyzing performance and trade-offs using deep learning, machine learning, linear algebra, probability theory, statistics, and optimization. The position also requires understanding Agile principles, following best-practice software design, participating in code reviews, creating a maintainable and well-tested codebase with documentation, and documenting and presenting work to both technical and non-technical audiences. The individual will build knowledge on business priorities and strategic goals to inform requirements and solutions for business needs.
Requirements
- 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
Responsibilities
- Perform data exploration and analysis.
- Implement algorithmic solutions given specifications.
- Push solutions to our production environment.
- Analyze performance and trade-offs.
- Understand Agile principles.
- Follow best-practice software design.
- Participate in code reviews.
- Create a maintainable and well-tested codebase with relevant documentation.
- Document and present work to technical and non-technical peers.
- Build knowledge on business priorities and strategic goals.
- Leverage this knowledge while building requirements and solutions for each business need.
Benefits
- Comprehensive health benefits and programs (medical, vision, dental, life insurance)
- 401(k)
- Employee discount
- Short term disability
- Long term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
