Senior Data Scientist - Delivery Solutions

Position Purpose:

Join our team as a Senior Data Scientist, where you will lead pioneering data science projects that enhance business profitability, streamline operations, and elevate customer satisfaction. You will play a key role in shaping the advanced analytics framework at Home Depot, driving informed decision-making. Your expertise will help identify and capitalize on business opportunities, leveraging data science for competitive advantage across various specializations, including optimization, computer vision, recommendation systems, search, or natural language processing (NLP).

In this role, you will lead data science initiatives, collaborating closely with project managers to prioritize tasks, manage workloads, and mentor junior data scientists on your team. You will present actionable insights and recommendations to leadership and business partners, clearly articulating the impact and benefits of your proposed solutions. Additionally, you will contribute to building a skilled data science team by participating in the recruitment process and assessing staffing needs.

Key Responsibilities:

• 35% Solution Development - Design and implement robust algorithms and models using large datasets to generate valuable business insights. Communicate findings effectively to both technical and non-technical stakeholders, preparing comprehensive reports and presentations on your project progress and insights.
• 30% Project Management & Team Support - Collaborate with project teams to set project goals, prioritize work, and uphold quality standards. Provide guidance and mentoring to junior team members, assist in distributing workload, and support recruitment efforts.
• 20% Business Collaboration - Utilize your extensive business knowledge to inform solution approaches, fostering trust and collaboration with internal stakeholders and cross-functional teams. Share your expertise on advanced analytics to educate colleagues across various levels.
• 15% Technical Exploration & Development - Stay updated on key developments in data science and enhance your technical skills. Work on continuous improvement by creating reusable solutions and documenting best practices to ensure efficiency in future projects.

Direct Manager/Direct Reports:

• This position reports to a manager or higher.
• No direct reports.

Travel Requirements:

• Typically requires less than 10% overnight travel.

Physical Requirements:

• Most time spent sitting comfortably, with occasional opportunity to move about.

Working Conditions:

• Comfortable indoor environment with infrequent unpleasant conditions.

Minimum Qualifications:

• Must be 18 years of age or older.
• Must be legally authorized to work in the United States.

Preferred Qualifications:

• PhD in a quantitative field (Computer Science, Math, Statistics, etc.).
• 6+ years of experience in business intelligence and analytics.
• Proficient in Microsoft Excel and PowerPoint.
• Proficient in a modern scripting language (preferably Python).
• Experience with SQL and data visualization software (preferably Tableau).
• Strong background in statistical techniques for business insight generation.
• Experience in prescriptive modeling, including optimization, computer vision, recommendations, search, or NLP.
• Proficiency in predictive modeling, data mining, and data analysis.

Minimum Education:

• Bachelor's degree in a related field or equivalent experience.

Minimum Years of Work Experience:

• 5 years.

Certifications:

• None required.

Competencies:

• Attracts Top Talent: Skilled at selecting top candidates to meet current and future business needs.
• Business Insight: Applies business knowledge to enhance organizational goals.
• Collaborates: Fosters partnerships to achieve common objectives.
• Communicates Effectively: Delivers clear communications tailored to diverse audiences.
• Cultivates Innovation: Develops new approaches for organizational success.
• Customer Focus: Builds strong customer relationships and provides solutions centered on customer needs.
• Develops Talent: Supports others in achieving career and organizational goals.
• Drives Results: Consistently achieves results, especially under challenging conditions.
• Nimble Learning: Actively learns from both successes and failures to tackle new challenges.
• Optimizes Work Processes: Identifies efficient processes for continuous improvement.
• Self-Development: Seeks opportunities to grow through various development channels.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment based on race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, disability, or any other protected class.