Sr. Manager Data Science

Sr. Manager Data Science Location Phoenix, Arizona ID SP-18-5956 Apply Now

Job Responsibilities

ABOUT PETSMART

Headquartered in Phoenix, AZ, PetSmart, Inc. is the #1 pet specialty retailer, offering pet-related products, services and solutions for the lifetime needs of pets. PetSmart believes pets make us better people, leading to its mission of creating more moments for people to be inspired by pets, which impacts everything they do for their customers, the way they support their associates, and how they give back to their communities. The company employs approximately 55,000 associates, across 1,600 stores in the United States, Canada and Puerto Rico.

In addition to its broad range of competitively priced pet food and pet products, PetSmart offers pet grooming, boarding, day care and dog training services, as well as in-store pet adoption. Additionally, through petsmart.com and pet360.com, the company offers a comprehensive line of pet supplies and pet care information online. Additionally, through their in-store pet adoption, partnerships with independent non-profit organizations, as well as PetSmart Charities® and PetSmart Charities® of Canada, PetSmart has helped save the lives of over 7mm pets through adoptions of homeless pets, with adoptions totaling more than 400,000 each year. In addition, PetSmart supports organizations that make communities a better place to call home through their philanthropy program, PetSmart Gives Back™.

PetSmart was taken private in early 2015, in a buyout led by BC Partners, a global Private Equity fund. And most recently, PetSmart and BC Partners acquired Chewy.com, the leading Pet Specialty eCommerce retailer, in the largest eCommerce acquisition of all time.

Individually, PetSmart and Chewy are the clear leaders in Pet Specialty in their respective channels; and together, with their clear omni-channel leadership, the company is poised to transform the Pet Specialty industry, and reinvent Omni-Channel retailing as we know it.

ABOUT THE SENIOR MANAGER - DATA SCIENCE ROLE

A newly created group for PetSmart, the Advanced Analytics Group (AAG) is a team of 4 – 5 of highly business-oriented Strategy and Data Science professionals that uses Big Data to generate break-through insights across Product & Services Portfolio Performance, Customer Behavior, Loyalty, and Promotional Effectiveness, in order to drive improved customer acquisition and retention, shopping frequency, transaction size and margin contribution, enhanced customer intimacy, long-term customer loyalty, and enhanced lifetime customer value, and deliver sustainably accelerated top- and bottom-line growth for the Company.

Reporting to the Senior Director Advanced Analytics, the Senior Manager Data Science will be a key member of the team, and a partner to the PetSmart leadership team, BC Partners, and key functional leaders with responsibilities including but not limited to:

• Leverage Big Data, traditional Machine Learning, and Advanced Analytics to understand what's happening in our space, and why; answer critical Consumer, Marketplace and Business questions; helping PetSmart navigate the rapidly evolving landscape, capitalize on opportunities, and solidify and expand our leadership across both Brick and Mortar and Online Pet Retail to drive sustainably improved business results
• Drive continuous improvement in (a) capability, and (b) realized effectiveness, across CRM, Loyalty and Promotional execution and effectiveness, especially in the area of tailored / customized customer communication and promotional offers
• Work with leaders and teams across PetSmart on critical, episodic needs of the business, contributing on a broad spectrum from "Business Intelligence / Analytics" to "pure data science"
• Work collaboratively with PetSmart Information Systems and BI to:
• Establish best practices and drive continuous improvement in the data science infrastructure, data management, and workflow

• And to turn AAG findings, insights and algorithms into automated capabilities for core PetSmart processes, execution and measurement across CRM, Loyalty and Promotional execution, especially in the area of tailored / customized customer communication and promotional offers and Loyalty, across channels

• Infuse PetSmart with a deep understanding of best practices, key trends, and analogous success cases in the use of Big Data to drive customer intimacy, customization, and business results in a CPG / Retail / eCommerce or related context
• Help PetSmart turn a sophisticated Big Data capability into a sustainable competitive advantage in Pet Specialty, and the broader Mass and eCommerce retail landscape

This is a High-Visibility role, with regular access to the Leadership and Board of Directors, and with real immediate opportunity for disproportionate impact to the Industry and the Business.

In short, joining PetSmart in this role, at this moment, is a rare opportunity to help a 30-year old Brick and Mortar Specialty Retailer, combined with a powerhouse eCommerce pure play, redefine our industry, and reshape Omni-Channel retailing as we know it.

CANDIDATE PROFILE

• Exemplary background and technical skillset as a leader in data science with a proven track record of success
• Strategic thinker, deeply curious and passionate about leveraging Big Data and Advanced Analytics to answer critical business questions
• Proven ability to work collaboratively and constructively with leaders and team members across the business to frame up, execute and deliver against the Work, and foster stakeholder understanding and engagement along the way
• Demonstrable record of leading small, highly-effective teams of key cross-functional players (e.g., IS, CEX, Merch, Store Ops, Finance), to leverage the full expertise, knowledge, capabilities, and bandwidth of the organization in delivering against the Work, and embedding these new insights and new capabilities into the functional groups we serve
• Comfort with working across the full "Business Intelligence / Analytics / Data Science spectrum" to deliver against key business needs
• Flexible mindset, and ability to contribute to multiple work streams, with (sometimes) fluid and evolving prioritization
• Strong 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

• Enjoy teaching others about Data Science and empower team members to use Analytics guidance
• Enthusiastic about serving as a corporate authority (SME) in a technical discipline and being recognized as a world class expert

QUALIFICATIONS

• Understands research methods in working with divergent data types, to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired from a range of sources.
• Advanced knowledge of statistical modeling techniques. Must have experience with at least half of these methods/approaches:
• Supervised Learning: Regression/classification: Multiple regression, time series analysis and forecasting, random forests, lasso/ridge/elastic nets, logistic regression, propensity score matching, SVM, survival analysis, deep neural nets, MARS, LDA, hierarchical linear modeling, GAMs
• Modeling, Assessment and Selection: dealing with missing values, train/dev/test sets, bias/variance tradeoff, bootstrapping, bagging, boosting, dealing with messy data, wide vs tall data sets, merging, munging, and creating data
• Unsupervised learning: k-means, association rules, hierarchical clustering, PCA, Bayesian clustering, KNN

• Other Concepts: Experimental designs, Test and learn, Reliability analysis, Validity and MTMM analysis, CDTs, TURF, Discrete choice modeling, HBA, Mixed models, Affinity analysis, SEO, SEM, Lifetime value, Dashboarding, Web analytics, Sentiment analysis, CLV modeling, Bass diffusion modeling, Trial-repeat analysis, Lead-lag analysis, Market basket analysis, or Price elasticity

• Candidate must have strong programming experience with at least one of R, Python or Spark
• Demonstrated experience working with IT and BI departments in designing and helping build enhanced data integrity and availability, as well as systems integration and general capability
• Candidate must be able to research and learn cutting edge techniques and augment current "quiver" of tools and methodologies

EDUCATION

• Masters in Statistics, Applied Mathematics, or heavily quantitative field (PhD preferred); or proven equivalent experience
• Two or more (2+) years of professional Advanced Analytics experience
• Fluency in Python, R, or Spark is required
• Secondary strengths in C, Java, Hadoop, MapReduce, Matlab, Hive, and/or SQL

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