- Build and implement production machine learning systems.
- Apply machine learning techniques to research/implement live algorithms across our platforms, model user behavior, and optimize marketing and programming initiatives.
- Design advanced data-visualization dashboards and presentations which facilitate novel views into our product and operations.
- Translate complex business problems into quantitative solutions that scale across our global ecosystem of streaming services and content.
- Validate models through back-testing and evaluation of observed data.
- Automate machine learning pipelines using MLOps standard methodologies.
- Maintain the health of machine learning systems, including speed, model accuracy, reliability, and performance.
- Deliver data insights at the appropriate level of detail and perform fast follow-up to feedback.
- You will work on models such as LTV Forecasting, Content Valuation & Forecasting, and "Green Light" Models.
- Build a user-level data management platform that serves as the central data hub allowing machine learning software components to "plug in" and segment users, predict future behavior, identify users at risk of churning, and personalize their online experiences.
- Chip in to device/user graph/CDP that accounts for multi-platform access and pan-visit user behavior.
- Build models to guide our content strategy such as content affinity, slate planning, and scheduling optimization models.
- 0-3 years of experience in Data Science and ML Engineering.
- MS or PhD in Statistics/Data Science/Computer Science or related disciplines with specialization in machine learning techniques.
- Knowledge of both supervised and unsupervised machine learning techniques.
- Full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products.
- The ability to write robust code in Python and leverage associated machine learning packages.
- Experience using Jupyter Notebooks.
- Familiarity with a variety of statistical models and methods (i.e., causal methods, tree-based algorithms, time series analysis, regression analysis).
- Communicate concisely and persuasively with engineers and product managers.
- Strong detail orientation with a penchant for data accuracy.
- Familiar with version control systems (Git, BitBucket).
- Sagacity using Google Cloud Platform (BigQuery, ML Engine, and APIs).
- Astuteness with Databricks and Spark.
- Percipience using project management tools like those from Atlassian (JIRA, Confluence)
- Data wrangling savvy using SQL, Pandas, MongoDB.
- Acuity in NLP or text mining techniques.
- Perspicacity in deep learning and Tensorflow.
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Data Scientist - West Hollywood, United States - CBS Corporation
Description
OVERVIEW & RESPONSIBILITIESThe main responsibility of the Data Scientist is to apply experimentation, machine learning and visualization techniques to drive insights and help power data-driven decision making across all departments and levels of Pluto TV. The presumption is for the Data Scientist to supply applicable analysis through the mentorship of senior members of the team and drive complex Data Science-based projects to completion. In this role, the Data Scientist must be able to extract data, model and optimize production algorithms across our platforms, and query/manipulate data on an ad-hoc basis by using SQL, Python or R. Additionally, the Data Scientist must be flexible to quickly learn open source and big-data technologies such as Spark and the AWS/GCP ecosystems.
#LI-HYBRID
Join the Paramount Streaming Talent Community Get the inside scoop on life at Paramount Streaming and about career opportunities.
Pluto TV, a Paramount Global company, is the leading free streaming television service in America, delivering 250+ live and original channels and thousands of on-demand movies in partnership with major TV networks, movie studios, publishers, and digital media companies. Pluto TV is available on all mobile, web and connected TV streaming devices and millions of viewers tune in each month to watch premium news, TV shows, movies, sports, lifestyle, and trending digital series. Headquartered in West Hollywood, Pluto TV has offices in New York, Silicon Valley, Chicago and Berlin.
ADDITIONAL INFORMATION
Hiring Salary Range: $98, ,
The hiring salary range for this position applies to New York City, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling or by sending an email to Only messages left for this purpose will be returned.
Nearest Major Market: Manhattan
Nearest Secondary Market: New York City
