Data Scientist, Pricing (Forecasting)

The Home Depot; Atlanta (GA); Híbrido; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health care benefits

401K

ESPP

Paid time off

Success sharing bonus

Descripción de la vacante

The Home Depot, Inc. is seeking a Data Scientist focused on price optimization and forecasting. You will lead analytics initiatives to improve profitability, efficiency and customer experience while contributing to the advanced analytics infrastructure used for decision making.

You will apply advanced methods, present insights to non-technical audiences, and collaborate with business partners across functions to turn data into actionable business solutions.

Formación

• The knowledge, skills and abilities typically acquired through the completion of the relevant degree or equivalent.
• Bachelor’s degree in a quantitative field is required.
• Proficiency in Python and SQL is expected.

Responsabilidades

• 55% Solution Development - design models against large datasets for business insights and lead analytics projects.
• 20% Communicating Results - present insights to both technical and non-technical audiences.
• 10% Business Collaboration - build trust with internal customers and cross-functional teams.
• 15% Technical Exploration & Development - pursue new data science techniques and codified data products.

Conocimientos

Python

SQL

Forecasting

Optimization

Deep learning

Data mining

Data analysis

BI

Educación

Bachelor's degree

Descripción del empleo

The Home Depot is able to offer virtual employment of this position in the following states:

AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY

Position Purpose:

The Data Scientist works with price optimization based on future forecasted outcomes of price and promotions. The successful candidate will be responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage.

As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.

Key Responsibilities:

• 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
• 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
• 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
• 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:

• This position typically reports to Manager or above
• This position has 0 Direct Reports

Travel Requirements:

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

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.

Working Conditions:

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

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• Past experience developing forecasting or optimization solutions in a professional environment
• Experience with deep learning
• 3+ years of experience in business intelligence and analytics
• PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc)
• Proficient in Python and SQL
• Mastery utilizing statistical techniques to identify key insights that help solve business problems
• Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation
• Demonstrated proficiency in predictive modelling, data mining, and data analysis

Minimum Education:

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

• No additional education

Minimum Years of Work Experience:

• 3

Preferred Years of Work Experience:

• No additional years of experience

Minimum Leadership Experience:

• None

Preferred Leadership Experience:

• None

Certifications:

• None

Competencies:

• Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
• Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Customer Focus: Building strong customer relationships and delivering customer-centric solutions
• Drives Results: Consistently achieving results, even under tough circumstances
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
• Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
• Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
• Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.