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: <ul><li>Work fraud and trust SMEs to understand domain knowledge, business expectation and turn them into data driven machine learning approach.</li><li>Develop machine learning, data mining, statistical, and graph-based algorithms designed to analyze massive data sets.</li><li>Partner with Cloud technologists to ensure proper implementation and usage of said algorithms.</li><li>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.</li><li>Ideate, brainstorm and drive projects from conception to completion.</li><li>Conduct exploratory data analysis, supervised, unsupervised and semi-supervised machine learning to identify fraud trend, segment and clusters, and optimization opportunity.</li><li>Lead identification of trends and KPI's with the objective of improving customer performance.</li><li>Mentor junior data analysts and demonstrate Data Science and development best practices.</li></ul> What You'll Need: <ul><li>Bachelor's degree in Computer Science, Engineering, Business Analytics, or related field and 3 years of experience</li><li>Will accept a Master's degree and 1 year of experience.</li><li>Experience must include 1 year with:</li><li>Python, R, or other Data Science object-oriented programming language;</li><li>Applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering);</li><li>Machine Learning, Statistical Modeling, and Data Mining;</li><li>Anomaly detection algorithms including Regressions, Random Forrest, GBMs, Support Vector Machines, KNNs, Neural Nets and Social Network Link analysis;</li><li>SQL, NoSQL, and unstructured databases (MySQL, Hadoop, Redshift, MongoDB);</li><li>Applied data science techniques, data management and advanced analytic techniques while doing fraud analysis/anomaly detection;</li><li>Software design for scalability, reliability, and performance;</li><li>Develop mathematical models to predict business outcomes and determine cause and effect relationships;</li><li>Agile teams (Scrum, Kanban); and</li><li>CLI and UNIX.</li><li>The position is eligible for the Employee Referral Program.</li></ul> 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. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

We are hiring amazing humans, and we hope that includes you! Are you looking for more than just a job? At Chewy, you'll find yourself on a career path with other amazing humans, like yourself. You'll be part of a culture that values everything that you do, who you are, and the goals you have set for your career. We want to give you the opportunity to grow, earn competitive pay, and be happy while you do it. Sounds simple, but we love it. Our Opportunity: We are looking for a Senior Data Scientist within Chewy's quickly growing Customer Service Data Science team. The team uses Statistics, and Machine Learning techniques to understand and serve the needs of our pet parents. Developing data-driven solutions, we are an interdisciplinary team of data scientists who are committed to solving business problems using cutting edge technologies and developing data-driven marketing solutions. As part of the data science team at Chewy, you will have the opportunity to operate or lead as a full-stack data scientist. In that capacity, you will have the opportunity to design and develop the backend ML frameworks best suited for different business problems, build engineering pipelines to streamline the model development process and launch the decision engines that would help automate the ML-powered business solutions. For such efforts, you will closely work with the data science, ML Operations, analytics, and data engineering teams. What You'll Do: <ul><li>Focusing on the incrementality and the value-creation in everything you do, you will closely work with the partners within the Customer Service organization. You will transform their ideas, preliminary findings, or analyses, whenever applicable, into machine learning-driven business strategies, programs and actions that would help drive the core objectives.</li><li>As a data scientist, you will be responsible for making recommendations for experimentation and measurement by researching state-of-art methods, examining, and tuning the current methods with simulations. Also, you will use causal inference methods to bring precision and speed in the decision-making process.</li><li>You will be responsible for the full Data Science lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models. In addition, you will periodically develop the model health reports to ensure the integrity of the underlying processes and assumptions.</li><li>Use data to improve how we make decisions and ultimately, enhance customer experience and drive loyalty. You will surface deep insight hidden in our data lakes and provide tactical and strategic guidance on how to act on findings. It will include developing data-science driven customer and contact segmentation.</li><li>Work with the data engineering and cloud engineering teams to develop the automated pipelines to perform different stages of the model life cycle (data collection and cleaning, model development and validation, model deployment and scoring, periodic validation, and refitting, etc.)</li><li>Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data. </li><li>Establish collaborative working relationships at all levels across various functional teams. </li></ul> What You'll Need: <ul><li>4+ years of proven experience as a Data Scientist/Analyst (MS+3 years or PhD in Data Science, Machine Learning, Economics, Statistics, Mathematics, Engineering, or related subject area) </li><li>Proven practical knowledge in the areas of Machine Learning, Deep Learning, experimentation.</li><li>Deep experience in at least one Data Science Subject area (e.g., casual inference, NLP, forecasting, etc.) </li><li>Ability to lead the entire Data Science lifecycle, data prep, exploratory data analysis, modeling, collaborate with engineering. </li><li>Advanced proficiency in coding and data analysis using Python, SQL, and PySpark.</li><li>Excellent verbal and written communication skills and the ability to explain details of sophisticated concepts to non-expert partners in a simple and understandable way.</li><li>Experience of translating ambiguous customer requirements into clear problem definitions and delivering them</li><li>Travel may be required </li></ul> Bonus: <ul><li>Experience with Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms </li><li>Experience in object-oriented programming with Python </li><li>Experience with data visualization tools and packages (Tableau or similar) </li><li>E-com, Retail or start up experience </li></ul> What You'll Get: <ul><li>A place where you can be your authentic self and grow your career. Our pet parents and partners are from everywheredifferent places and different walks of life. It is what makes them unique. Likewise, Chewtopians are encouraged to bring their perspectives to deliver on our mission!</li><li>Work in a culture that cares, with managers who value you and your career journey. Be empowered to think big, thrive on delivering results, and to become your best.</li><li>Development of meaningful connections with a diverse group of Chewtopians through Team Member Resource Groups and celebrate inclusivity with various company events, programs, and activities.</li><li>Comprehensive medical, dental, vision benefits, in addition to wellness programs and resources, enabling you to be your best self in and outside of work.</li></ul> 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. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

We are hiring awesome humans, and we hope that includes you! Are you looking for more than just a job? At Chewy, you'll find yourself on a career path with other awesome humans, like yourself. You'll be part of a culture that values everything that you do, who you are, and the goals you have set for your career. We want to give you the opportunity to grow, earn competitive pay, and be happy while you do it. Sounds simple, but we love it. Our Opportunity: We are looking for a Senior Data Scientist within Chewy's quickly growing Customer Service Data Science team. The team uses Statistics, and Machine Learning techniques to understand and serve the needs of our pet parents. Developing data-driven solutions, we are an interdisciplinary team of data scientists who are committed to solving business problems using cutting edge technologies and developing data-driven marketing solutions. As part of the data science team at Chewy, you will have the opportunity to operate or lead as a full-stack data scientist. In that capacity, you will have the opportunity to design and develop the backend ML frameworks best suited for different business problems, build engineering pipelines to streamline the model development process and launch the decision engines that would help automate the ML-powered business solutions. For such efforts, you will closely work with the data science, ML Operations, analytics, and data engineering teams. What You'll Do: <ul><li>Focusing on the incrementality and the value-creation in everything you do, you will closely work with the stakeholders within the Customer Service organization. You will transform their ideas, preliminary findings, or analyses, whenever applicable, into machine learning-driven business strategies, programs and actions that would help drive the core objectives.</li><li>As a data scientist, you will be responsible for making recommendations for experimentation and measurement by researching state-of-art methods, examining, and tuning the current methods with simulations. Also, you will use causal inference methods to bring precision and speed in the decision-making process.</li><li>You will be responsible for the full Data Science lifecycle from conception to prototyping, testing, deploying, and measuring the overall business value of the models. In addition, you will periodically develop the model health reports to ensure the integrity of the underlying processes and assumptions.</li><li>Use data to improve how we make decisions and ultimately, enhance customer experience and drive loyalty. You will surface deep insight hidden in our data lakes and provide tactical and strategic guidance on how to act on findings. It will include developing data-science driven customer and contact segmentation.</li><li>Work with the data engineering and cloud engineering teams to develop the automated pipelines to perform different stages of the model life cycle (data collection and cleaning, model development and validation, model deployment and scoring, periodic validation, and refitting, etc.)</li><li>Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data. </li><li>Establish collaborative working relationships at all levels across various functional teams. </li></ul> What You'll Need: <ul><li>4+ years of relevant experience as a Data Scientist/Analyst (MS+3 years or PhD in Data Science, Machine Learning, Economics, Statistics, Mathematics, Engineering, or related discipline) </li><li>Demonstrated practical knowledge in the areas of Machine Learning, Deep Learning, experimentation.</li><li>Deep experience in at least one Data Science Subject area (e.g., casual inference, NLP, forecasting, etc.) </li><li>Ability to manage the entire Data Science lifecycle, data prep, exploratory data analysis, modeling, interface with engineering. </li><li>Advanced proficiency in coding and data analysis using Python, SQL, and PySpark.</li><li>Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert stakeholders in a simple and understandable way.</li><li>Experience of translating ambiguous customer requirements into clear problem definitions and delivering them</li><li>Travel may be required </li></ul> Bonus: <ul><li>Experience with Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms </li><li>Experience in object-oriented programming with Python </li><li>Experience with data visualization tools and packages (Tableau or similar) </li><li>E-com, Retail or start up experience </li></ul> What You'll Get: <ul><li>A place where you can be your authentic self and grow your career. Our pet parents and partners are from everywheredifferent places and different walks of life. It is what makes them unique. Likewise, Chewtopians are encouraged to bring their perspectives to deliver on our mission!</li><li>Work in a culture that cares, with managers who value you and your career journey. Be empowered to think big, thrive on delivering results, and to become your best.</li><li>Development of meaningful connections with a diverse group of Chewtopians through Team Member Resource Groups and celebrate inclusivity with various company events, programs, and activities.</li><li>Comprehensive medical, dental, vision benefits, in addition to wellness programs and resources, enabling you to be your best self in and outside of work.</li></ul> Compensation & Benefits: Our salary range for a Data Scientist III position is $134,500.00 - $215,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Non-exempt hourly team members accrue paid time off (PTO) while salaried-exempt team members have unlimited PTO, subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 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. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Our Opportunity: We are looking for a Data Scientist II at our facility in Richardson, Texas to perform data analysis and build customer segmentation algorithms that can aide the business drive their core objectives. What You'll Do: <ul><li>Research and implement state-of-the-art Machine Learning solutions, build end-to-end pipelines including feature engineering, modeling, and deployment.</li><li>Build data visualization dashboards that can provide quick insights into customer behavior.</li><li>Work with the data engineering team to build out a feature set that encompasses all attributes, creating datasets that can be shared across the teams.</li><li>Implement scalable solutions to help business setup experiments and create pipelines that can compute statistical significance and uplift modeling.</li></ul> What You'll Need: <ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field, and 3 years of experience.</li><li>Will accept a Master's degree and 1 year of experience.</li><li>Experience must include 1 year with: Python programming and data pipeline best practices;</li><li>Applied machine learning, including collaborative filtering, regression, dimensionality reduction, factor analysis, and support vector machines, TFIDF, Topic Modeling;</li><li>Model evaluation, hyperparameter tuning, and feature engineering techniques;</li><li>Programming experience in Python, Scala, or another modern programming language; and</li><li>SQL and the ability to write, debug, and optimize SQL queries.</li><li>The position is eligible for the Employee Referral Program.</li></ul> 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. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Our Opportunity: We are looking for a Data Scientist III at our facility in Plantation, Florida to conceptualize, formulate, prototype, and implement an integrated framework for assessing casual relationships across variables and metrics in our supply chain network. What You'll Do: <ul><li>Design experiments using advanced simulation capabilities and A/B testing.</li><li>Be a subject matter expert in basic and advanced statistical techniques.</li><li>Deep dive big Supply Chain data to explain change, find hidden opportunity, and provide recommendations.</li><li>Implement process improvement initiatives that drive change to metrics and streamline the Supply Chain.</li><li>Develop algorithms and scripts for production systems.</li><li>Be a subject matter expert for Supply Chain data and processes.</li><li>Partner with Supply Chain's functional areas (Supply Planning, Network Planning, Demand Planning, and Transportation) to provide insight and promote action.</li><li>Telecommuting permitted up to 2 days per week.</li></ul> What You'll Need: <ul><li>Master's degree in Industrial Engineering, Supply Chain, Information Systems, or related field and 4 years of experience.</li><li>Experience must include the following: developing and implementing causal inference, counterfactual reasoning, intervention analysis, and machine learning solutions for large scale applications;</li><li>Python/R;</li><li>SQL;</li><li>Advanced mathematics and statistics;</li><li>Translating complex data sets and research into simple business recommendations;</li><li>Navigating complex frameworks and coordinating with IT and BI business partners;</li><li>Using collaborative tools (Git and Confluence);</li><li>Supply Chain, E-commerce, retail, or startup experience;</li><li>Operations research; and</li><li>Industrial engineering fundamentals.</li><li>Telecommuting permitted up to 2 days per week.</li><li>The position is eligible for the Employee Referral Program.</li></ul> 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. If you have a question regarding your application, please contact HR@chewy.com. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

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Data Scientist Chewy Jobs

Data Scientist IiiJuly 24, 2024

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Data Scientist IiiJuly 18, 2024

Data Scientist IiJuly 17, 2024

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Data Scientist IJuly 2, 2024