Experienced Full Stack Data Scientist – AI and Factual Displaying for Streaming Business
About Us
We are Disney Web-based features, a division of The Walt Disney Organization, liable for making and working The Walt Disney Organization's immediate to-buyer video organizations worldwide. Our center mission is to convey worldwide crowds the opportunity to get to content based on their conditions across any associated gadget, time, or area. We serve purchasers by bringing the world's most adored characters, immortal stories, unbelievable competitors, and incredible games to worldwide crowds through remarkable direct-to-buyer video administrations.Job Description
We are searching for an accomplished Full Stack Data Scientist to join our Information Science group at Disney Web-based features. As a Data Scientist, you will be in charge of utilizing profound information examination and exploration to introduce a convincing vision around client maintenance and inclinations across the immense environment of our item contributions and content. You will work intimately with colleagues across the association to distinguish and open doors, and present your proposals to senior chiefs.Key Responsibilities
- Support the streaming business with AI and factual displaying zeroed in on understanding and foreseeing endorser conduct, like agitate, redesign/downsize, cost responsiveness, client division, endurance examination, trial plan and investigation, and causal surmising.
- Create and carry out imaginative AI strategies to address key business inquiries while distinguishing new regions to investigate.
- Drive trial and error to assess the effects of your models.
- Accomplice intimately with colleagues across the association to distinguish and open doors.
- Present your proposals to senior chiefs.
Essential Capabilities
- Lone wolves or Graduate degree in Software engineering, Designing, Science, Physical science, Econometrics, or Measurements.
- 3+ long periods of involvement planning, assembling, and assessing reasonable AI arrangements.
- Solid coding experience in (at least one) information programming dialects like Python/R, extra involvement in logical libraries like Numpy, Pandas, or identical libraries an or more.
- Capable in examining information and creating ML models utilizing Python (with ML structures like tensorflow, scikit-learn, and so on.).
- Solid foundation in factual displaying: relapse, grouping, time series estimating, causal derivation, and different methods.
- Experience creating versatile numerical models and tackling complex quantitative issues that can be figured out by non-numerical associates.
- Capacity to make bits of knowledge and determinations from information to exhort model turn of events and business choices.
- Want to join forces with different information researchers, information examiners, and key colleagues.
- Great comprehension of SQL.
Preferred Capabilities
- Postgraduate education in a quantitative field.
- Magnificent insightful abilities, high level degree of measurements information.
- Demonstrated abilities in choosing the right factual devices given an information examination issue.
- Capacity to adjust rapidly in a high speed climate with moving needs.
- Solid relational abilities, for both specialized and non-specialized crowds.
- Capacity to focus on various undertakings simultaneously and sooner rather than later.
- Experience with information stages and applications like Databricks, Jupyter, Snowflake, Wind current, Github.
- Experience with planning and dissecting A/B testing and other trial types.
- Experience thinking decisively to decipher market and buyer data, ideally about a membership administration.
- Experience with dispersed information advancements (Hive, Flash).
- Experience with NLP and NN models.