Join the Team at blithequark: Revolutionizing Streaming Services with Data-Driven Insights
blithequark's Direct to Consumer team is at the forefront of the streaming industry, overseeing the Hulu and blithequark+ services within blithequark Entertainment. We're dedicated to bringing blithequark's exceptional storytelling to fans and families worldwide. Our Data Science team plays a crucial role in this mission, combining in-depth data analysis and research to provide actionable insights that drive user engagement and retention.
About the Role: Data Scientist – Machine Learning and Statistical Analysis
As a Data Scientist at blithequark, you will be part of a dynamic team that empowers decision-makers with data-driven insights, predictions, and recommendations. You will work closely with cross-functional teams, including content, marketing, product, and engineering, to develop and implement machine learning models and statistical analysis that inform business decisions.
Key Responsibilities:
- Modeling: Develop and apply state-of-the-art machine learning and statistical analysis to create models related to opportunity sizing, targeting, and optimization.
- Deep Analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create a common understanding of how people interact with our services and content.
- Visualization of Insights: Develop prototype solutions, mathematical models, algorithms, and robust analytics that lead to impactful insights communicated clearly and visually.
- Partnership: Collaborate closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation, and data architecture.
Requirements and Qualifications:
Essential Qualifications:
- Bachelor's degree in advanced Mathematics, Statistics, Data Science, or a comparable field of study, and/or equivalent work experience.
- 7+ years of related experience with developing machine learning models and conducting statistical analysis.
- Deep understanding of machine learning concepts and statistical methods.
- Ability to draw insights and conclusions from data to inform model development and business decisions.
- Desire to collaborate with other data scientists, data analysts, and key business partners.
- Proficient in analyzing data and developing ML models using Python (with ML frameworks like TensorFlow, scikit-learn, etc.).
- Capable of reading and writing Object-Oriented code to review and implement modeling pipelines (Airflow, Luigi, etc.).
- Understanding of SQL and distributed data technologies (Hive, Spark).
Preferred Qualifications:
- MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics, or related quantitative fields (e.g., Econometrics, Mathematics, Operations Research).
- Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/languages such as Stan, PyMC.
- Experience fully integrating data science solutions into the business and operationalizing ML models.
What We Offer:
At blithequark, we're committed to creating a work environment that is both challenging and rewarding. Here are some of the benefits and perks you can expect:
- Competitive Compensation: The hiring range for this position in the Los Angeles, CA area is $149,300-$200,200. The base pay actually offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.
- Bonus and Long-Term Incentive Units: A bonus and/or long-term incentive units may be provided as part of the compensation package.
- Full Range of Benefits: Medical, financial, and other benefits, dependent on the level and position offered.
- Opportunities for Growth: Career growth opportunities and learning benefits to help you advance in your career.
- Dynamic Work Environment: A work environment that encourages collaboration, innovation, and creativity.
About blithequark:
blithequark is a leading diversified international family entertainment and media enterprise that includes three core business segments: blithequark Entertainment, ESPN, and blithequark Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, blithequark proudly continues its legacy of creating world-class stories and experiences for every member of the family.
blithequark's stories, characters, and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
Why Join Us?
If you're passionate about data science, machine learning, and statistical analysis, and you're looking for a challenging and rewarding role, then we want to hear from you. At blithequark, we're committed to creating a work environment that is both inclusive and supportive. We believe in the power of diversity and inclusion to drive innovation and creativity.
As a Data Scientist at blithequark, you'll have the opportunity to work on complex problems, collaborate with cross-functional teams, and develop and implement machine learning models and statistical analysis that inform business decisions. You'll be part of a dynamic team that's dedicated to creating world-class stories and experiences for every member of the family.
How to Apply:
If you're excited about this opportunity and think you'd be a great fit for our team, please submit your application. We can't wait to hear from you!
Apply Now