Disney Hiring Remote Data Entry (WFH Jobs @25$ An Hour) ? MySmartPros
Disney Hiring Remote Data Entry (WFH Jobs @25$ An Hour)
Job Responsibilities: Lead Data Scientist, Ads Data Solutions Research
Salary: $25-45/Hour
Company: Disney
Location: California, USA
Educational Requirements: Postgraduate Degree
Full Job Description:-
Data Scientists at Disney are the insights and modeling companions for the boom, content, marketing, product, and engineering groups at Disney, Hulu and ESPN+. They use records to empower decision-makers with information, predictions, and insights that in the long run have an impact on the stories of hundreds of thousands of customers worldwide. Scientists at the crew construct fashions, carry out the statistical evaluation, and create visualizations to offer scalable, continual functionality this is iteratively advanced thru direct interplay with cross-practical enterprise companions.
As a lead records scientist withinside the Ads Data Solution Research crew, you may be partnering carefully with the Sales Analytics, Finance, Business Operations, Commerce Product and Engineering groups to expand fashions for tackling a mess of interesting challenges, consisting of revenue, inventory, delivery, outcome, pricing of marketing and marketing, client lifetime fee estimation, forecasting, fraud prevention and mitigation, and more. We search for a person with deep analytical and modeling know-how, a demonstrated song file of concept management and an eagerness to force effect. Disney Hiring Remote Data Entry
WHAT YOU'LL DO
Modeling: Design, construct and enhance the system by getting to know fashions. Work stop to stop from records collection, function technology and selection, set of rules development, forecasting, visualization and speaking of version results. Collaborate with engineering to produce fashions. Drive experimentation to check the effect of the version primarily based on total optimization.
Deep evaluation: Develop complete information on audience, logo and advert operational records systems and metrics. Mine massive records units to perceive possibilities for using marketing and marketing revenue, viewer advert experience, and subscriber boom and retention,
Visualization of Complex Data Units: Development of prototype solutions, mathematical fashions, algorithms, and strong analytics main to actionable insights communicated truly and visually.
Partnership: Partner carefully with enterprise stakeholders to perceive and free up possibilities, and with different records groups to enhance platform skills around records modeling, records visualization, experimentation and records architecture.
WHAT TO BRING
Master?s diploma in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
7+ years of experience designing, building, and comparing realistic systems getting to know solutions
7+ years of experience with statistical programming languages (e.g. Python, Spark, PySpark) and database languages (e.g. SQL)
Disney Hiring Remote Data Entry
NICE-TO-HAVES
Doctorate's diploma in a quantitative discipline
Excellent analytical competencies, superior stage of records knowledge
Strong know-how with Python and libraries consisting of sci-kit-learn, SciPy
Familiarity with Bayesian modeling and probabilistic programming applications consisting of PyMC
Familiarity with records structures and programs consisting of Databricks, Jupyter, Snowflake, Airflow, Github
Familiarity with records exploration and records visualization equipment consisting of Tableau, Looker
Familiarity with designing and reading A/B trying out and different test types
Demonstrated competencies in choosing the proper statistical equipment given a records evaluation problem
Ability to conform fast in fast-transferring surroundings with transferring priorities
Strong conversation competencies, for each technical and non-technical audiences
Ability to deal with more than one obligation simultaneously and in a well-timed manner, consisting of massive and complicated ones
Demonstrated management experience, consisting of human beings and undertaking management
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