Data Scientist
$94K-$162K (Glassdoor est.)
REF#: 36469

CBS BUSINESS UNIT: CBS Interactive

JOB TYPE: Full-Time Staff

JOB SCHEDULE:

JOB LOCATION: New York, NY

ABOUT US:

CBS Interactive is the premier online content network for information and online operations of ViacomCBS as well as some of the top native digital brands in the entertainment industry. Our brands dive deep into the things people care about across entertainment, technology, news, games, business and sports. With over 1 billion users visiting our properties every quarter, we are a global top 10 web property and one of the largest premium content networks online.

Check us out on [1] The Muse, [2] Instagram and [3] YouTube for an inside look into 'Life At CBSi' through employee testimonials, office photos and company updates.

References

Visible links
https://www.themuse.com/companies/cbsinteractive
https://www.instagram.com/cbsinteractive/?hl=en
https://www.youtube.com/channel/UCAvGapyifCtUlmNTagAl_sQ
DESCRIPTION:

Division Overview:

The Data technology team is an agile and dynamic group who is passionate about developing reliable data platform to facilitate internal groups to process data more efficiently. Our team collaborates across number of business units to design and implement reusable frameworks for different data teams. We use Google Cloud Platform to process large volumes of data from multiple vendors enabling our BI, Yield, Finance and marketings teams to focus on data-driven insights.

Role Details:

The Data Scientist will work with different groups such as BI, Data Engineering, Machine Learning, Finance, Yield and Audience Acquisition and explore opportunities to automate the processes, develop models relevant to each business for optimizing and improving the revenue streams.

Your Day-to-Day:
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Collaborate with data engineers to integrate with new data sources, design and implement data transformation, aggregation and reporting systems.
Conceptualize, implement and scale statistics and machine learning models that help enhancing user engagement and optimize site monetization.
Building and maintaining internal data products that supports other data driven partner teams.
Key Projects:
Maintaining and enhancing site traffic and revenue KPI monitoring, alerting & root cause analysis system.
Creating forecast models to improve ad inventory management and optimization processes
Provide critical reporting, visualizations and analysis for revenue operations, finance and accounting teams.
\#LI-JG1

QUALIFICATIONS:

What you bring to the team:

You have -
Bachelors Degree in Computer Science, Mathematics, Statistics or similar technical fields.
Strong problem solving skills and ability to understand business problems and translating
them into data science / data engineering design specs.
Strong proficiency in using Python for data manipulation and exploratory analysis.
Ability to write complex SQL to perform common types of analysis and aggregations
Experience with statistical analysis and time series modeling.
Knowledge of a variety of machine learning techniques (clustering, regression, decision tree learning, neural networks, etc.) and understand their real-world advantages and trade-offs.
Experience implementing and deploying statistics and machine learning models. You should be familiar with libraries like Pandas, Numpy/Scipy, Statsmodels, Scikit-learn and
Keras / Tensorflow
You might also have -
Graduate degree preferred
Experience with web analytics e.g. Adobe Analytics and Google Analytics
Experience with full stack engineering, Python web frameworks such as Django or Flask
Experience with solutions that process data at scale, e.g. Hadoop, Spark, Google BigQueryor Redshift
Familiar with a NoSQL database such as MongoDB
Familiar with version control systems (Git and Github/Bitbucket)
Familiar with cloud infrastructure especially GCP (Google Cloud Platform)
Experience with Docker
Experience with BI software like Tableau
EEO STATEMENT:

Equal Opportunity Employer Minorities/Women/Veterans/Disabled
CBS Interactive
3.5
CBS Interactive
