Home Depot HDQC LEAD DATA SCIENTIST in Vancouver, Washington
Working at the world's fourth largest retailer mixes the best of many worlds: cutting-edge technologies applied to business problems, solving real needs for customers who spend billions of dollars across our stores in North America. QuoteCenter is an application Home Depot store associates use to build a wide range of orders from large, complex orders to small drop-in orders for products across The Home Depot's supply chain.
What is it like to work at The Home Depot QuoteCenter?
We were a startup once upon a time and much of our startup culture still exists: the agility of a small operation, the impact that comes with being a leader in our industry. Our team uses the latest technologies to build new products that facilitate 10-figure sales volumes at The Home Depot. We invest proactively in our people. The mission of the QuoteCenter product team is to radically reimagine the shopping experience at Home Depot utilizing the latest web technologies and data tools.
We are searching for a Lead Data Scientist to define and lead the data science discipline at QuoteCenter. The Lead Data Scientist will also work cross-functionally across QuoteCenter product teams to more effectively analyze business opportunities buried in a vast sea of retail data. In this role, the Lead Data Scientist must be able to operate comfortably with high level concepts, then understand how to break down the concept into component parts, determine what models/data are needed to make key decisions and communicate how the decisions and insight fit into making the right strategic moves for both business and application.
Were looking for a blend of experience and education with a minimum three years of experience working with software product engineering teams, leveraging business and statistical modeling knowledge to help the business make better decisions. We will accept more work experience in place of a degree.
MAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES
35% - Responsible for leading data scientists providing performance management mentorship, and career direction.
25% - Shape business perspective through behavioral and relationship analysis/modeling.
15% - Build models to be used by QuoteCenter products to facilitate key strategies.
15% - Create a roadmap for the data science discipline that aligns with the over arching QC roadmap.
10% - Standardize and guide QuoteCenter Data Scientists as they support all major product areas.
NATURE AND SCOPE
This position reports to Manager Business Analytics.
This position has 3 direct reports.
ENVIRONMENTAL JOB REQUIREMENTS
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Typically requires overnight travel less than 10% of the time.
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
The knowledge, skills and abilities typically acquired through the completion of a high school diplomas and/or GED.
Years of Relevant Work Experience: 2 years
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Experience creating algorithms that leverage Home Depot statistical data to drive business decisions
Proven ability to digest high level problems and move through the process of questioning, analyzing, and troubleshooting to defining potential solutions, gaining stakeholder buy-in and collaborating with necessary teams to execute strategy.
Experience defining & supporting operational objectives in the following areas: Technology, Business Strategy, Operations, and End Users.
Proven history of working with technical stakeholders.
Prior experience defining and implementing standards/templates and establishing data science as an organizational discipline
Demonstrated data-driven approach to prioritization and managing product roadmaps in an Agile SDLC.
Ability to communicate effectively with both technical and non-technical users.
Experience with R, Python, and/or Numpy
Experience using analytical tools such as Tableau is a plus
Experience using the Microsoft data stack is a plus
Minimum high school education; undergraduate degree in one of the following is strongly preferred: data science, machine learning, applied mathematics, mathematics or engineering.
Knowledge, Skills, Abilities and Competencies:
Excellent communicator in both verbal and written form.
Polished presentation skills, creating materials and presenting to various levels of management.
Big picture thinker able to operate effectively at 30,000 foot view, but also able to get into the details when necessary.
Strong story teller, is able to formulate cohesive messages with meaningful and impactful points that resonate with target audience.
Self-starter, requires little to no direction to be effective at role. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.