Data Scientist II

Full time

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Employment Information

Job levelMedium level

IndustryRetail

Experience3+ years

LocationBoston, MA, United States

Our Opportunity:

We are looking for a Data Scientist II at our facility in Boston, Massachusetts, to research, design, and implement predictive models, use data sciences to detect and prevent high risk fraud and reduce false positives.

What You’ll Do:

Work fraud and trust SMEs to understand domain knowledge, business expectation and turn them into data driven machine learning approach.
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.
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 improving customer performance.
Mentor junior data analysts and demonstrate Data Science and development best practices.
Telecommuting permitted.

What You’ll Need:

Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field and 3 years of experience.
As an alternate, the employer will accept a Master’s degree and 1 year of experience.
Experience must include 1 year in the following skills: Python, R, or other Data Science object-oriented programming language;
Applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering);
Machine Learning, Statistical Modeling, and Data Mining;
Anomaly detection algorithms including Regressions, Random Forrest, GBMs, Support Vector Machines, KNNs, Neural Nets and Social Network Link analysis;
Knowledge of 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;
Develop mathematical models to predict business outcomes and determine cause and effect relationships;
Ability to manage multiple projects at the same time.
Telecommuting permitted.
The position is eligible for the Employee Referral Program.
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, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.