Manager Data Science

Posted 2025-04-30
Remote, USA Full-time Immediate Start

About The Role

The Commerce Data Science team at Disney Streaming develops Machine learning solutions to drive subscription and monetization across our streaming platforms, including Disney+, Hulu and ESPN+. Data scientists are integral to Disney??s success, partnering with cross-functional teams (growth, content, marketing, product, and engineering) to provide ML solutions that shape the experience of millions of users worldwide.

We're seeking an experienced Manager of Data Science to lead data scientists focused on developing and deploying machine learning models that address business-critical challenges. In this role, you??ll work with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the customer journey and drive the business forward.

Responsibilities

Lead Machine Learning Initiatives
?? Design, build, and optimize machine learning models that optimize commerce payment products.
?? Manage the full lifecycle of ML development, including data collection, feature engineering, model selection, evaluation, and production.
?? Collaborate with engineers to deploy models at scale, ensuring robust A/B testing frameworks to assess the impact on key business metrics.

Data Exploration & Insights
?? Dive deep into subscriber and payment data to uncover patterns and opportunities for growth and retention strategies.
?? Lead exploratory analyses and complex statistical modeling to deliver actionable insights that inform high-stakes business decisions.

Data Storytelling
?? Translate complex data into clear and actionable insights through visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.
?? Drive data-informed decision-making by presenting findings that highlight business implications.

Strategic Collaboration & Leadership
?? Build and foster strong relationships with business partners across commerce, growth, marketing, and engineering.
?? Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities.
?? Mentor and grow a high-performing team of data scientists, creating an environment that encourages learning and innovation.

Basic Qualifications
?? Bachelor??s degree in advanced Mathematics, Statistics, Data Science or comparable field of study
?? Proven track record of working with programming languages (e.g., Python, Spark, PySpark) and SQL
?? Expertise in ML libraries such as scikit-learn, SciPy, and related technologies.
?? Experience with modern data platforms and tools (e.g., Databricks, Jupyter, Snowflake, Airflow, GitHub).
?? Advanced statistical knowledge and excellent problem-solving skills, with a proven ability to translate data into actionable insights.
?? 8+ years of experience in building, deploying, and evaluating real-world machine learning solutions.
?? 2+ years of leadership experience

Preferred Qualifications
?? M.S. and/or Ph.D. in a quantitative discipline.
?? Experience working in subscription-based or streaming media businesses.

Additional Information

#DISNEYTECH

The hiring range for this position in New York City area is $175,800-235,700 per year, in Los Angeles, CA area is $167,700-$224,900 and in San Francisco Bay Area is $183,700,600-$246,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate??s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Apply Job!

 

Similar Jobs

You May Also Like

Southwest Airlines is a renowned leader in the airline industry, dedicated to providing exceptional customer service and delivering a positive travel experience. With a commitment to excellence, we are now seeking a motivated and customer-focused individual to join our team as a Customer Service Representative, working remotely from the comfort of your home. Job Description: As a Customer Service Representative at Southwest Airlines, you will play a pivotal role in ensuring our customers receive outstanding service throughout their travel journey. This position requires a passion for customer satisfaction, effective communication skills, and the ability to thrive in a remote work environment. Key Responsibilities: Handle inbound customer inquiries via phone, email, and online chat in a professional and timely manner. Assist customers with booking, reservations, and changes to their travel plans. Provide information regarding flight schedules, fares, policies, and other relevant details. Resolve customer issues and complaints with empathy and efficiency. Collaborate with other team members and departments to ensure seamless customer experiences. Stay informed about industry trends, company policies, and updates to provide accurate information to customers. What You Will Do: Engage with customers in a positive and friendly manner, creating a personalized and memorable experience. Utilize effective problem-solving skills to address customer concerns and find satisfactory resolutions. Navigate multiple systems and databases to access and update customer information. Adhere to company guidelines and procedures to maintain service quality and compliance. Participate in ongoing training and development programs to stay informed about product and service changes. Qualifications: High school diploma or equivalent; college degree preferred. Previous customer service experience, preferably in the airline or hospitality industry. Excellent communication and interpersonal skills. Proficient computer skills, including experience with customer service software and Microsoft Office. Ability to work independently and collaboratively in a remote team environment. Flexible schedule to accommodate varying shifts, including evenings, weekends, and holidays. Benefits: Competitive salary Comprehensive training program Employee travel benefits Health and wellness programs Remote work flexibility How to Apply: Interested candidates should submit their resume and a cover letter outlining their relevant experience and why they are a great fit for this role. Applications will be accepted until [insert closing date].
Back to Job Board