Join Today: reputed company Data Scientist

Core Information:

• Compensation: a competitive salary
• Position: reputed company Data Scientist
• Company: Workwarp
• Location: Remote
• Start Date: Immediate openings available

 

 

About Direct To Consumer (DTC) reputed company’s Direct to Consumer team oversees the Hulu and reputed company+ streaming businesses reputed company reputed company Entertainment helping to bring reputed company’s best-in-class storytelling to fans and families everywhere.  reputed company Direct to Consumer’s (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling reputed company around user retention and preferences across the vast ecosystem of our product offerings and content. We are the insights and modeling partners for the content, marketing, product, and engineering teams at reputed company+, Hulu and ESPN+. As Data Scientists, we use data to reputed company decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. If you are someone who loves to work cross-functionally, build models, reputed company statistical analysis, and create visualizations to reputed company scalable and iterative capabilities, then this is a fantastic role for you! What You'll Do • Modeling: Apply state of the art machine learning and statistical analysis to reputed company models reputed company to opportunity sizing, targeting, and optimization. • Deep analysis: Analyze user behavioral data to identify patterns, uncover opportunities, and create common understanding of how people are interacting with the service and content. • Visualization of Insights: Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated reputed company and visually. • Partnership: Partner 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. What To Bring • Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study, and/or equivalent work experience • 7+ years reputed company 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 reputed company • 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) ? reputed company To Haves • MS or PhD in Computer Science, Engineering, Statistics, Economics, Physics or reputed company quantitative field (e.g. Econometrics, Mathematics, Operations Research) • Working knowledge of Bayesian modeling and familiarity with probabilistic programming packages/language such as Stan, PyMC • Experience fully integrating data science solutions into the business and operationalizing ML models Additional Information #DISNEYTECH The hiring reputed company for this position in the Los Angeles, CA area is $149,300-$200,200. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company 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 reputed company of medical, financial, and/or other benefits, dependent on the level and position offered. Apply Job!

 

We Want to Hear From You!

If this role sounds like a perfect fit, don't hesitate. Apply today and let's build the future together.

Apply To This Job