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Job Description

Job Description

Sr Statistician Design of Experiments

Job ID 1401973BR Date posted 05/16/2018 Location Mooresville, NC Location Name CSC-Mooresville Address 1000 Lowes Boulevard Employment Type I Regular Employment Type II Full-Time Line of Business Corporate Department 0042 - Data Analytics & Customer Insi
Sr. Statistics - Design of Experiments

Lowe's Companies, Inc.

Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving more than 18 million customers a week in the United States, Canada and Mexico. With fiscal year 2017 sale of $68.6 billion, Lowe's and its related businesses operate or service more than 2,390 home improvement and hardware stores and employ over 310,000 people. Founded in 1946 and based in Mooresville,N.C., Lowe's supports the communities it serves through programs that focus on K-12 public education and community improvement projects. For more information, visit Lowes.com .


Function Description:


Business Development & Strategy: Positions in this function work toward identifying opportunities for Lowe's to expand the business through business assessments and strategy development defining the retail category and expanding Lowe's market share of the category.


Family Description: Data Analytics & Customer Insights: Responsible for analyzing data across a number of verticals, including marketing / market research, enterprise and Lowe's functions. Helps build a competitive advantage by providing accurate and timely information based on big data that is used to improve decision making, identify inefficient business processes, drive cost savings and identify new business opportunities. Works closely with and provides insight to Lowe's business leaders by providing predictive analysis, data visualization, contextual visualization and insights. Also responsible for analyzing customer and consumer behavior data, which will inform the business on trends across all consumer markets. Builds a competitive advantage by providing accurate and timely information based on consumer data that is used identify new business opportunities, new products, and new strategies. Includes technical marketing positions that direct marketing strategy on product positioning, market penetration and pricing.


Reports To: Director, Data Science
Direct Reports: 0

PURPOSE OF ROLE:

Design statistical experiments, generate and test working hypothesis to support key business strategies
Enable homogeneity of selection across geographic areas, product categories, etc.
Continuously inform business units about results

Identify randomized test & control cohorts to avoid bias and outline experiment outcomes, select best-fit parameters
Make casual references about relationships between independent and dependent variables
Exclude confounding effects of extaneousvariables
Measurement of incrementality by developing modules that are reusable and scalable and by attaching levels of confidence to results to enable decisions
Analyze impact attributes and optimize parameters for roll out OR redesign of experiement
Continuously inform business units about results


RESPONSIBILITY STATEMENTS

Analyze, interpret and visualize complex and possibly unstructured data
Build and/or validate recommendations based on sound methodology, data gathering, and data analysis
Use demographic attributes to understand key drivers of business results (revenue, cost, people)
Communicate complex statistical concepts into common-speak for the benefit of business units
Present methodology and results to CXOs and other Senior leadership
Stay abreast of current industry trends, emerging technologies, and new methodologies and to share learnings with team members
• Partner with functions like Marketing, Merchandising, Pricing & Promotions, Supply Chain, Operations, IT, Data Engg, BI, and Finance organizations while working alongside corporate and other business unit teams to identify solutions.

Enhance the solution through additional research/analytics.
Lead efforts to documents best practices in Test & Measure



Required Education/Experience


Education Level : Ph.D.


Field of Study : Statistics


2+ years of Experience in the following....



Understanding and application of...

  • One sample tests
  • One sample tests
  • Independent two-sample test
  • Paired sample t-test
  • Fractional factorial design of experiments
  • One-way ANOVA, multiple comparison & ANCOVA
  • Types of data & distribution
  • Multi-variate Unobserved Component Model, which can be used as a multiple regression model with time-varying coefficients
  • Use of multiple explanatory variables to accurately modelfor sales
  • Time series (including Trend Comp, Seasonal Comp, CyclicComp, Regression Comp, Irregular Comp)
  • Deep Understanding of arithmetic, algebra, geometry, calculus, statistics and their applications,including probability, general linear models, non-linear, and logistic regression analysis, multi-level modeling and clustering techniques
  • Experience in working with large, complex datasets including data transformation operations such as dataset merging, cleansing, imputation of missing values and other operations related to exploratory data analysis.
  • Knowledge of prior experience of powerful statistical software (preferably R).
  • Knowledge and prior experience of SQL and scripting languages such as Python for fast data/text manipulation and automating the running of programs
  • Very strong communication skills.
  • Should be able to seamlessly communicate with multiple stakeholders across different verticals in the organization in parallel and manage expectations.
  • Should always wear the lense of the "bigger picture."
  • Self driven, unafraid to ask pertinent questions.



Travel Requirements:

Domestic
Day Trip, Overnight, Multiple Nights - less than monthly

International
Day Trip, Overnight, Multiple Nights - less than monthly




Lowe’s is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, veteran status, genetics or any other category protected under applicable law.

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