IT Data Scientist
Our Opportunity:
Chewy is seeking a highly motivated, goal-oriented, and analytical, Senior Data Scientist to join our exciting and fast paced company. Our team is growing and if you are equally passionate about data analysis, e-commerce, and career growth, an opportunity at Chewy may be a great match! You will be focused on solving business problems by developing and implementing best-in-class Promotions/Deal models. As a Data Scientist you'll work to optimize and improve promotion effectiveness at Chewy. You'll translate business needs into numbers that support data-driven decision making by developing, organizing, and launching experiments and projects.
What you’ll do:
- Drive promotions optimization and measurement, with focus on placement, segmentation, and messaging
- Drive segmentation analyses and propensity modeling to identify right promotion content for customers segments
- Develop machine learning, data mining, statistical, and graph-based algorithms designed to analyze massive data sets; partner with Cloud technologists to ensure proper implementation and usage of said algorithms
- Analyze large data sets to develop multiple, custom models and algorithms to drive innovative correlations for fraud and acceptance data as well as social data
- #OperateAtDepth - Ideate, brainstorm and drive projects from conception to completion
- Conduct exploratory data analysis, supervised, unsupervised and semi-supervised machine learning to identify fraud trend, segment and clusters, and optimization opportunity
- Lead identification of trends and KPI’s with the objective of optimize and improve promotion effectiveness
- Mentor junior data analysts and demonstrate Data Science and development best practices
What you’ll need
- An M.S., P.H.D., or equivalent experience in a related discipline (Engineering, Mathematics, Physics, Finance or C.S.)
- Experience in Python, R, or other Data Science object-oriented programming language
- Experience with applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering)
- 5+ years of experience applying Machine Learning, Statistical Modeling, and Data Mining.
- 2+ Experience working in an e-commerce or other direct to consumer business
- Experience in anomaly detection algorithms including Regressions, Random Forrest, GBMs, Support Vector Machines, KNNs, Neural Nets and Social Network Link analysis.
- Experience with SQL, NoSQL, and unstructured databases (MySQL, Hadoop, Redshift, MongoDB)
- Applied data science techniques, data management and advanced analytic techniques while doing fraud analysis/anomaly detection.
- Hands on experience with software design for scalability, reliability, and performance
- Proven track record in developing mathematical models to predict business outcomes and determine cause and effect relationships
- Candidate must be organized, driven, and exhibit critical thinking skills.
- Candidate must have an entrepreneurial and self-starting mentality.
Bonus:
- Experience working in Agile teams (Scrum, Kanban)
- Experience in working in eCommerce business.
- Knowledge of / experience with multi-channel and cross-channel attribution.
- Extensive CLI and UNIX experience – we live in the terminal!
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.
If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at Chewy, please contact [email protected].
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