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Home Depot Data Scientist - BlackLocus in Austin, Texas

POSITION PURPOSE

A BlackLocus Data Scientist solves difficult business problems with advanced statistical analytics and optimization. They are responsible for the full life cycle of analytics and take the solution from concept to final prototype. Working with resources in engineering, product, and services along with other members of the data science team, they deliver a solution in the shortest amount of time. Data Scientists are expected to contribute to projects as a hands-on, expert-level resource, capable of synthesizing the business requirements, nuances of the data available and analytic techniques to help create best in class solution.

MAJOR TASKS, RESPONSIBILITES AND KEY ACCOUNTABILITIES

50% Design and develop algorithms and models to use against large datasets to create business insights.

20% Establishing scalable, efficient processes for large scale data analyses, model development and model implementation

20% Solve problems creatively with strategic insights. Leverage data to present a compelling business case to optimize price points.

10% Remain knowledgeable on advancements in data science and machine learning. Identify opportunities to apply learnings.

NATURE AND SCOPE

Position reports to Sr Data Science BL Lab

No direct reports

ENVIRONMENTAL JOB REQUIREMENTS

Environment:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Travel:

Typically requires overnight travel less than 10% of the time.MINIMUM QUALIFICATIONS

Must be eighteen years of age or older.

Must be legally permitted to work in the United States.

Education Required:

The knowledge, skills and abilities typically acquired through the completion of a PhD program in a field of study related to the job.

Years of Relevant Work Experience: 4 years

Physical Requirements:

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.

Additional Qualifications:

Masters in Statistics, Operations Research, Math or related quantitative field.

Expert knowledge in manipulating massive datasets, statistical analysis, and predictive modeling.

Preferred Qualifications:

Experience in data mining, data analysis and predictive modeling

Previous work experience in business intelligence and data analytics

Proven experience utilizing statistical techniques to identify key insights from data to solve business

problems

Knowledge, Skills, Abilities and Competencies:Ability to build scalable systems that analyze huge data sets and make actionable recommendations

Strong communication and data presentation skills

Ability to quickly adapt to new technologies, tools and techniques

Flexible and responsive; able to perform in a fast paced, dynamic, decision making environment and meet aggressive timelines 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.

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