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Data Scientist
Company: PetSmart
Location: Phoenix, AZ
Employment Type: Full Time
Date Posted: 07/02/2022
Expire Date: 09/07/2022
Job Categories: Advertising/Marketing/Public Relations, Agriculture, Forestry, & Fishing, Computers, Software, Healthcare, Other, Information Technology, Internet/E-Commerce, Retail/Wholesale, Sales, Science, Executive Management, Research & Development, Medical, Web Technology, Nonprofit and Volunteer Services
Job Description
Data Scientist
About the Team

The Customer Experience (Marketing) team works to showcase our brand through the lens of expertise and love. They work to provide a personalized experience for our consumers backed by best-in-class, data-driven marketing capabilities. The Customer Experience team focuses across 4 departments including, Marketing, Creative, Communications, and our Loyalty & CRM team. Everyone brings his or her own point of view to create a unique experience for the pets and pet parents.


About the Job

ABOUT THE DATA SCIENTIST ROLE

The Data Science Team consists of highly business-oriented Strategy and Data Science professionals that use Big Data to generate break-through insights to deliver top- and bottom-line growth for the company.  As part of the customer experience group, our focus is on loyalty, personalization, digital and services, but we operate throughout the business.

This is a high-visibility, broad-ranged role with regular access to senior leadership and with an opportunity for disproportionate impact to the business. The team has a passion for understanding and driving customer behavior through a combination of big data, advanced statistics, cutting edge machine learning and experimentation, whilst also having the software and data engineering skills to bring these models into production so they can have a maximal impact.

Reporting to a Senior Data Scientist, the Data Scientist will:

  • Work towards deepening the understanding of our customers and improving the maturity of personalization at PetSmart through the iterative development of segmentation, customer journey and recommender models across a variety of channels including digital, email, direct mail and in-store
  • Assist in the development of the PetSmart Data Science Platform to
    • establish best practices and drive continuous improvement in the data science infrastructure, data management, experimentation and workflow
    • transform insights and algorithms into automated data products
  • Drive growth in our digital business through online machine learning models such as recommender engines and search optimization
  • Build Proof of concepts and Exploratory analyses to test new methodologies, experimental designs and analyses
  • Work collaboratively with PetSmart Information Systems, Data Engineering and marketing Operations Teams to develop cross-functional capabilities to improve customer experience and drive value
  • Develop insightful and condensed visualizations out of complex analytics and provide actionable recommendations for various business teams

 CANDIDATE PROFILE

  • Quantitative background and technical skillset with a proven track record of success in data science
  • Strategic thinker, deeply curious and passionate about leveraging Big Data and Data Science to answer complex business questions
  • Ability to work collaboratively and constructively with leaders and team members across the business to execute and deliver against analytical projects
  • Flexible mindset, and ability to contribute to multiple work streams, with fluid and evolving prioritization
  • A self-starter with the ability to manage own workflow with support from the rest of the team
  • Effective communication skills, with a particular focus on the ability to:
    • Translate complex or highly technical concepts in ways that make them easily understood by leaders and team members
    • Efficiently get to “client-ready” output for direct manager and other leaders

 

CANDIDATE EDUCATIONAL AND PROFESSIONAL EXPERIENCE

 

QUALIFICATIONS AND SKILLS

  • Must have proven programming experience with Python and/or R
  • Knowledge of various statistical modeling and machine learning techniques. Must have experience with at least some of these methods/approaches:
    • Supervised Learning: Multiple regression, time series analysis and forecasting, decision trees, random forests, lasso/ridge/elastic nets, logistic regression, propensity score matching, survival analysis
    • Modeling, Assessment and Selection: dealing with missing values, train/dev/test sets, bias/variance tradeoff, dealing with messy data, wide vs tall data sets, merging, munging, and creating data
    • Unsupervised learning: k-means, association rules, hierarchical clustering, PCA, distance matrices
    • Recommendation engines: Matrix factorization, collaborative filtering, cold start problems
    • Other Concepts: Experimental design, Deep Learning, Reinforcement Learning & Markov Decision Processes, Hierarchical Models, Customer Lifetime Value, Dashboarding, Web analytics, Natural Language Processing, Market basket analysis, Price elasticity, imputation, survey analytics, graph analytics, Bayesian analysis
  • Must have experience of some of the following software engineering methods:
    • Big Data Analytics (Databricks, Spark, Hadoop, Hive etc.)
    • Data analysis / Science platforms (Pandas, Scikit-learn, Tidyverse, Keras, Tensorflow, SparkML etc.)
    • Version control (Git / Github)
    • Data Visualization (e.g., ggplot2, Shiny, Seaborn etc.)
    • Relational databases and SQL programming
    • Functional and/or object-oriented programming
    • Workflow or model management (e.g. MLFlow, CI/CD platforms such as GitlabCI, Jenkins etc.)
  • Must be excited to research and learn new techniques to augment current tools and methodologies

 

EDUCATION AND EXPERIENCE

  • Masters degree in Science, Data Science, Statistics, or a quantitative field or proven equivalent experience
  • Two or more (2+) years of professional experience in an analytical role
  • Experience performing data science and/or analytics in a retail setting is ideal

About the Culture

Our home office offers outstanding amenities in a fun and rewarding workplace including:

  • Pet friendly environment, bring your pets to work!
  • A work-life balance and family events such as movie nights, art events and holiday festivals
  • “Top Dog” gym with equipment, fitness classes, massage therapists and personal trainers
  • “Sit & Stay” Café serving fresh breakfast and lunch options
  • Starbucks cart—productivity at its finest!
  • “Lil’ Paws” learning center and onsite daycare facility
  • Volunteer events with PetSmart Charities
  • Learn more about #LifeAtPetSmart here: https://www.lifeatpetsmart.com/life-at-petsmart/
  • Check out Associate stories and share in some celebrations at PetSmart: https://www.blog.lifeatpetsmart.com/
  • Explore PetSmart Benefits here: https://benefits.petsmart.com/
Contact Information
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