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Director Spotify Data Science Jobs in Silver Spring, MD

Total Wine & More is seeking a Director of Data Science to join our Technology team in our Bethesda, MD office. This role will lead multiple data science team members with a significant portfolio of ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Director, Marketing Data Science Responsibilities: * Lead Measurement & Analytics: Oversee the measurement of campaigns, including AI Marketing, Corporate Marketing, and Public Affairs. Develop and ...

Define and execute the data science vision and roadmap aligned with business objectives and ... Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to ...

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization. * Lead the ...

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... Experience in email marketing and direct marketing * Experience managing people * Proficiency in ...

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Director Spotify Data Science information

See Silver Spring, MD salary details

$55.8K

$160.1K

$252.2K

How much do director spotify data science jobs pay per year?

As of Jul 17, 2026, the average yearly pay for director spotify data science in Silver Spring, MD is $160,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $195,900.00 per year, depending on experience, location, and employer.

What does a Director of Data Science do at Spotify?

A Director of Data Science at Spotify leads teams of data scientists and analysts to drive business strategy through data-driven insights. They oversee the development of analytical models and tools that power features like music recommendations and user personalization. This role involves collaborating with product, engineering, and business leaders to inform key decisions using data. Additionally, Directors help set the vision for data science at Spotify, ensuring the team stays innovative and impactful in a fast-changing industry.

What is the difference between Director Spotify Data Science vs Data Scientist Spotify?

AspectDirector Spotify Data ScienceData Scientist Spotify
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related field; extensive experienceBachelor's or Master's in Data Science, Computer Science, or related field; some experience
Work EnvironmentLeadership role overseeing teams, strategic planning, cross-department collaborationHands-on data analysis, model development, reporting, and insights generation
Employer & Industry UsageCommon in tech and media companies like Spotify, focusing on data-driven decision makingEntry to mid-level role in similar environments, supporting data science initiatives

The main difference is that the Director Spotify Data Science leads teams and sets strategic goals, while the Data Scientist Spotify focuses on executing data analysis and modeling tasks. The director role requires more experience and leadership skills, whereas the data scientist role is more technical and execution-focused.

What are some of the primary challenges a Director of Data Science at Spotify might face when leading cross-functional teams?

A Director of Data Science at Spotify often navigates the complexities of aligning diverse technical and business stakeholders toward shared objectives. Key challenges include translating business goals into actionable data strategies, ensuring data integrity at scale, and fostering collaboration between data scientists, engineers, and product managers. Managing and mentoring a large, multidisciplinary team requires balancing hands-on technical leadership with strategic vision. Additionally, adapting to rapidly changing music industry trends and user behaviors makes it essential to prioritize projects that deliver the most value.

What are the key skills and qualifications needed to thrive as a Director of Data Science at Spotify, and why are they important?

To thrive as a Director of Data Science at Spotify, you need deep expertise in data analytics, machine learning, and statistics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Mastery of tools such as Python, SQL, cloud platforms, and data visualization systems is essential, along with familiarity with big data ecosystems. Exceptional communication, strategic vision, and team leadership skills help drive cross-functional collaboration and innovation. These skills are crucial for developing impactful data-driven products, guiding high-performing teams, and aligning analytics initiatives with Spotify's business goals.
What are the most commonly searched types of Spotify Data Science jobs in Silver Spring, MD? The most popular types of Spotify Data Science jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Director Spotify Data Science jobs? Cities near Silver Spring, MD with the most Director Spotify Data Science job openings:
Director, Data Science

Director, Data Science

Total Wine & More

Bethesda, MD • On-site

Full-time

Posted 21 days ago


Total Wine & More rating

6.6

Company rating: 6.6 out of 10

Based on 184 frontline employees who took The Breakroom Quiz

229th of 727 rated retailers


Job description

Job Summary:
Total Wine & More is seeking a Director of Data Science to join our Technology team in our Bethesda, MD office. This role will lead multiple data science team members with a significant portfolio of initiatives to design, develop, and scale advanced analytics, machine learning, and AI solutions that drive meaningful business outcomes.
Responsibilities:
• Spearhead the strategy and execution of enterprise-wide data science, machine learning, and AI initiatives, ensuring alignment with long-term organizational goals and business priorities.
• Lead and manage multiple high-impact analytics programs simultaneously, establishing priorities, allocating resources, and driving successful execution across teams.
• Own the technical direction, architecture, and scalability of advanced analytics, AI, and ML solutions to ensure reliability, governance, and business value.
• Direct the development and implementation of enterprise standards for model development, validation, governance, monitoring, and lifecycle management.
• Partner with senior business and technology leadership to identify strategic opportunities, solve complex business challenges, and influence data-driven decision making.
• Drive innovation by evaluating emerging technologies, advanced analytics capabilities, and AI solutions that improve operational effectiveness and business performance.
• Oversee the end-to-end delivery of analytics and ML solutions, including problem framing, development, deployment, adoption, and ongoing performance optimization.
• Act as a trusted advisor to executive leadership by providing strategic guidance on analytics opportunities, organizational risks, technical priorities, and enterprise transformation initiatives.
Qualifications:
Required:
• Bachelor's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related field required or equivalent years of experience
• 7-10 years Experience in data science, predictive analytics, machine learning, or related fields, with a record of delivering production-grade solutions
• 3-6 years Experience leading teams, projects, or functional portfolios and partnering with senior stakeholders on complex initiatives
• Advanced Analytics and Machine Learning Leadership: Strong expertise guiding teams in developing, deploying, and scaling ML and AI solutions that deliver measurable business impact.
• Technical Architecture and Decision-Making: Ability to make informed trade-offs across modeling approaches, data pipelines, tooling, and infrastructure to support scalable solutions.
• People and Team Development: Proven ability to develop managers and senior ICs, coach technical and leadership growth, and foster a culture of accountability and innovation.
• Production ML and MLOps: Experience overseeing CI/CD pipelines, model monitoring, retraining strategies, containerization, and cloud-based deployments.
• Cross-Functional Influence: Demonstrated success influencing product, technology, and business leaders, translating complex technical concepts into actionable insights.
• Operational Excellence and Governance: Experience implementing standards for model quality, fairness, transparency, documentation, and lifecycle management.
• Strategic Thinking with Execution Discipline: Ability to connect long-term analytics strategy to near-term delivery, balancing innovation with reliability and scale.
Preferred:
• Master's Degree Data Science, Computer Science, Statistics, Mathematics, Economics, or related field preferred
Company:
& ‘ ®—the country‘s largest independent retailer of fine wine. Founded in 1991, the company is headquartered in Potomac, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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About Total Wine & More

Sourced by ZipRecruiter

Total Wine & More is the country's largest independent retailer of fine wine, beer and spirits, and we continue to grow our footprint year over year. Total Wine offers exciting and unique career opportunities across the country and in our corporate office. Our strength is our people. We have a commitment to training and career growth, all in an environment that values new ideas and teamwork. If you share our entrepreneurial spirit and a passion for providing best-in-class customer experience, take a moment to apply or learn more at www.TotalWine.com/About-us/Careers!

Industry

Alcoholic beverages wholesalers

Company size

10,000+ Employees

Headquarters location

North Bethesda, MD, US