Director, Data Science - Retail Media+
Company: The Home Depot
Location: Atlanta
Posted on: May 28, 2023
Job Description:
Position Purpose:We are actively seeking a talented and
experienced Director of Data Science, RM+. In this pivotal role,
you will play a crucial part in supporting and driving the overall
growth of our RM+ business specifically focusing on enhancing the
onsite experience. Your responsibilities will encompass employing
cutting-edge data science techniques to maximize the visibility and
relevance of sponsored products within search and browse product
listing pages as well as recommendation carousals. By utilizing
advanced data analysis and modeling techniques, you will extract
valuable insights, identify emerging trends, and make well-informed
decisions that contribute to the continuous improvement of onsite
RM+ performance.Collaboration will be at the heart of your role, as
you closely work with our exceptional product, engineering, and
marketing teams. Together, you will forge a path towards
exponential growth while maintaining the integrity of our organic
customer experience. Your expertise in providing guidance and
leadership will be instrumental in fostering an environment of
innovation, collaboration, and continuous learning within our data
science team.If you are a dynamic and results-driven data science
leader with a passion for driving business growth through advanced
analytics and AI, we invite you to join us and make a significant
impact on our onsite experience and overall business success.Key
Responsibilities:
- 35% People Management & Team Leadership - Provide leadership,
mentorship and coaching to direct reports and evaluate performance,
execution, and contribution; Establish a clear vision for the team
and influence reach with business partners; Attract, retain and
develop top talent to build an effective and high performing teams;
Support team in development of business knowledge and technical
skills with clear plans and regular assessment of progress; Develop
onboarding and training plan for both technical and soft skills
that will ensure high level of capabilities within the team; Foster
collaboration and alignment between different data science roles to
develop a supportive and engaged team; Ensure best practices and
world-class techniques are leveraged in the solutioning for
business problems and future team reach; Drive team's results and
celebrates accomplishments
- 30% Data Science Advocacy - Collaborate with business leaders
to align on objectives and expectations; Serve as escalation point
for any issues or difficulties with specific projects or
initiatives; Champion data science capabilities and new skills to
continually identify ways to impact the business; Define effective
metrics to understand the high level performance against business
goals
- 35% Strategy & Business Development - Leverage extensive
business knowledge and relationships to seek out new business
opportunities to leverage data science and advocate for team's
skills; Ensure a successful operating model and cost structure for
Data Science is developed and leveraged across the enterprise to
standardize ROI calculations and project/team funding; Effectively
develop trust and collaboration with internal customers and
cross-functional teams; Support data science research and
innovation efforts that can serve as competitive advantage for the
enterprise; Develop an integrated data science vision and
end-to-end strategy; Drive adoption of leading-edge data science
techniques and methods, both predictive and prescriptiveDirect
Manager/Direct Reports:
- This position typically reports to Senior Director or
above
- This position has Direct Reports and manages programsTravel
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:
- Previous data science leadership experience: Proven track
record of leading data science teams and delivering measurable
results in an e-commerce setting.
- Strong understanding of e-commerce monetization: Familiarity
with ads revenue generation strategies, pricing models, and
sponsored product optimization infrastructure.
- Expertise in search and recommendation systems: In-depth
knowledge of search stacks, recommendation engines, and
personalization techniques used in e-commerce platforms.
- Proficiency in data analysis and modeling: Advanced skills in
data analysis, statistical modeling, machine learning, and data
visualization techniques.
- Experience in e-commerce analytics: Familiarity with key
e-commerce metrics, A/B testing methodologies, and performance
tracking to drive data-informed decision-making.
- Excellent communication and collaboration skills: Ability to
effectively communicate complex ideas to both technical and
non-technical stakeholders and collaborate cross-functionally to
achieve common goals.
- Innovative mindset: Passion for leveraging advanced analytics
and AI technologies to drive business growth.
- Strong leadership and mentoring abilities: Proven ability to
lead and motivate a team, foster a culture of innovation, and
promote continuous learning and growth.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 educationMinimum Years of Work Experience:
- 10Preferred Years of Work Experience:
- No additional years of experienceMinimum Leadership Experience:
- NonePreferred Leadership Experience:
- NoneCertifications:
- NoneCompetencies:
- Attracts Top Talent: Attracting and selecting the best talent
to meet current and future business needs
- Builds Effective Teams: Building strong-identity teams that
apply their diverse skills and perspectives to achieve common
goals
- 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
- Communicates Effectively: Developing and delivering multi-mode
communications that convey a clear understanding of the unique
needs of different audiences
- Develops Talent: Developing people to meet both their career
goals and the organization's goals
- Directs Work: Provides direction, delegating and removing
obstacles to get work done
- Drives Engagement: Creating an environment where people are
motivated to do their best to help the organization achieve its
objectives- Drives Vision and Purpose: Painting a compelling
picture of the vision and strategy that motivates others to
action
- Instills Trust: Gaining the confidence and trust of others
through honesty, integrity, and authenticity
- Interpersonal Savvy: Relating openly and comfortably with
diverse groups of people
- Organizational Savvy: Maneuvering comfortably through complex
policy, process, and people-related organizational dynamics
- Persuades: Using compelling arguments to gain the support and
commitment of others
- Strategic Mindset: Seeing ahead to future possibilities and
translating them into breakthrough strategies
Keywords: The Home Depot, Atlanta , Director, Data Science - Retail Media+, Advertising , Atlanta, Georgia
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