Job Title: Data Scientist
Company: Paramount
Location: New York, NY
Description:
Overview and Responsibilities:

Data analytics & data science are at the heart of decision-making in steaming and driving critical decisions across marketing, content & customer service! We are scaling up our international data analytics team for streaming to transform how we handle customers across all life cycles. We drive business, product, and operational decisions through testing by providing rich data, strategic insights, and product improvement decision support. We are looking for a Data Scientist who is passionate about data and entertainment and thrives in a dynamic and fast-paced environment! This role involves forecasting, consumer behavior modeling, predictive analysis, A/B testing, and data science projects.

Responsibilities:


Use data to measure marketing outcomes and guide marketing budget allocation.
Deliver full-funnel MMM models for marketing planning and multi-touch attribution models (MTA) for optimizing marketing spend.
Marketing Attribution using AI and ML for channel-level media planning & budget optimization.
Deliver Artificial Intelligence & Machine learning solutions around client problems: Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, and Price Optimization.
Partner closely with key partners (marketing, content, operations, finance) to understand business objectives and support these objectives through the best use of advanced analytics.
The role will support the Marketing organization using CAC/LTV and cohort-based acquisition/retention models and decision frameworks to lead customer growth investment and economics.
Work with Streaming management to help answer tough business questions.
Develop and drive valuable customer intelligence from our core data assets using advanced analytics.
Develop advanced analytics algorithms exploiting our data assets, including growth subscriptions, viewing behaviors and content engagement, customer service interactions, service quality and performance information, and customer metrics.
Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology, training, and developing.
Growth marketing optimization (work closely with the marketing team), including demand marketing with marketing mix modeling and user engagement
Consumption reporting for content optimization (work closely with the content team)
Collaborate with the monetization team to understand subscriber and payment data structures and metrics. Find opportunities to drive subscription growth and retention.
Rapidly prototype, build, and deploy production-level analytical models to monitor critical datasets via streaming and batch processes.


Basic Qualifications:


Bachelor’s degree (preferably in Computer Science, Analytics, Economics, Mathematics, Statistics, or a related field)
5+ years using Python for predictive modeling, market mix modeling, forecasting, and statistical analysis.
5+ years using SQL for data extraction, feature development, etc.
5+ years doing statistical modeling, including regression, time series analysis, and other techniques.
Experience with a/b/multivariate testing, attribution, and media mix modeling.
1+ years working in at least one advanced analytical area, including predictive modeling, optimization, clustering, or NLP.
1+ years with data modeling and querying data warehouses at scale.


Additional Qualifications:


Extraordinary analytical and quantitative skills and hands-on experience with advanced modeling methods.
Strong mathematical/statistical abilities.
Expert-level proficiency and detailed understanding of statistical/ML predictive techniques such as regression/classification, clustering, dimensionality reduction, forecasting, optimization etc. and at least one of the upcoming technologies like deep learning (DL), natural language processing (NLP), reinforcement learning (RL), and Bayesian methods.
Experience working on a project end-to-end: problem scoping, data gathering, EDA, modeling, insights and visualizations
Experience with Salesforce
Ability to quickly understand a business objective, solve problems to build an analytical solution, and communicate with partners.
Good proficiency in verbal and written communication in English.
Excellent interpersonal skills, entrepreneurial mentality, resilient spirit, and experience navigating cross-functional organizations.
Experience with AWS, Snowflake/Redshift.
Experience with Google Cloud Platform and Big Query.
Spark, Python, R, Alteryx, ETL, and Data Type Knowledge and Experience.
Scikit Learn, Anaconda, RAPIDS, or any data science packages.
Knowledge of streaming entertainment or subscription-based services.


Paramount Networks International, is comprised of many of the world's most popular multimedia entertainment brands, including MTV, MTV LIVE HD, Nickelodeon, Nick Jr., Comedy Central, Paramount Channel, BET and more. Paramount brands reach more than 3.8 billion cumulative subscribers in 180+ countries and territories via more than 200 locally programmed and operated TV channels and more than 550 digital media and mobile TV properties, in 40 languages.

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. 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 https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.


Show more