Lead Data Scientist – BlackLocus

Location
Austin, TX

Category
Technology

Type
Corporate

Job ID
149132

Bonus Eligible
401(k) Company Matching
Employee Stock Purchase Program

COVID PRECAUTIONS

Health and temperature checks at all locations
Associates are required to wear a mask
Required social distancing measures throughout buildings
Increased cleaning frequency and enhanced sanitation efforts
MINIMUM QUALIFICATIONS
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Additional Minimum Qualifications:
– Demonstrated expertise in predictive modeling, data mining and data analysis
– Demonstrated expertise utilizing statistical techniques to identify key insights that help solve business problems

Education Required:
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.

Years of Relevant Work Experience: 10 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:

Preferred Qualifications:
– PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
– 10+ years of experience in business intelligence and analytics
– Expertise in a modern scripting language (preferably Python)
– Expertise running queries against data (preferably with Google BigQuery or SQL)
– Advanced knowledge of Microsoft Office Suite
– Expertise with data visualization software (preferably Tableau)
– Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP

Knowledge, Skills, Abilities and Competencies:
– Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
– Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
– 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
– Cultivates Innovation: Creating new and better ways for the organization to be successful
– Develops Talent: Developing people to meet both their career goals and the organization’s goals
– Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
– Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
– Persuades: Using compelling arguments to gain the support and commitment of others
– Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
– Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
– Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications

POSITION PURPOSE
The Lead Data Scientist – BlackLocus is 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 by applying expertise of both business and Advanced Analytics Modeling techniques. Lead Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role has expertise in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Lead Data Scientist, you will be responsible for large data science projects, identifying opportunities to leverage best technology and approach, and mentoring data scientists on the project team. This role is expected to own the library of reusable algorithms for future use, ensuring developed codes are documented. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role leads data science communities across several business units.

MAJOR TASKS, RESPONSIBILITIES AND KEY ACCOUNTABILITIES
30% Solution Development – Utilize expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business c