1+ months

Senior Data Scientist

Discovery Communications
New York, NY 10002
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  • Job Code
    105307950

Discovery Communications


Requisition ID 21197
{}Career Category IT & Technical Operations
Posted Date 2018-11-01

Location US-NY-New York City
Type Company Employee Full-Time

Position Summary:


Our Team

The Global Data & Advanced Analytics team enables Discovery Inc to turn data into action. Using big data platforms, data warehousing and business intelligence technology, audience data, advanced analytics, data science, visualization, and self-service analytics, this team supports global company efforts to increase revenue, drive audiences, and enhance consumer engagement.

The Role
As part of a growing team that is innovating the way Discovery does business around the world, the Senior Data Scientist will be responsible for executing high impact data science projects to support our Ad Sales, Finance, Research, and Media business partners. These efforts will include optimization of revenue, viewership, engagement, retention, content value, and customer value for multiple media platforms. Specifically, you'll be responsible for developing and operationalizing mathematical/statistical analyses, hypothesis tests, and algorithms/models. You'll also be responsible for refining and executing operationalized algorithms and models.

You'll need to be an innovative forward-thinker who will help lead end-to-end execution of data science projects
and contribute directly to existing and emerging business strategies and goals. Communication and ability to work in a collaborative team environment are essential.

You'll work with the Data Science Sr. Manager, data & analytics team, data engineering team, and business stakeholders to develop, refine, and scale data products. Therefore, this role requires strong technical and communication skills, creativity and attention to detail, and experience executing data science projects from end-to-end - from use case definition to final product delivery.



Responsibilities:


1. Apply data mining techniques to cleanse and explore large, complex data sets in preparation for further analysis
2. Apply appropriate data reduction, feature selection, and feature engineering techniques
3. Develop and implement hypothesis tests
4. Develop, validate, and operationalize appropriate mathematical and statistical algorithms and models; including implementation on large data sets
5. Review, make enhancements to, and execute operationalized algorithms and models
6. Develop data products to communicate insights to internal stakeholders
7. Communicate insights from analyses to internal stakeholders in clear business terms
8. Assist in making data science techniques approachable and understandable to non-data scientists
9. Collaborate with data & technology teams to create repeatable processes and scalable data products
10. Identify appropriate data science solutions as new data-centric business problems arise
11. Stay current with new data science methods, technologies, and industry trends
12. Support Data Science Sr. Manager in developing and implementing data science processes and best practices



Requirements:


* Master's or PhD degree in a quantitative field (statistics, physics, computer science, etc.)
* Minimum of 3-5 years proven business experience and technical expertise in data science
* Experience cleansing and preparing large, complex datasets for analysis
* Expertise applying statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets
* Experience with hypothesis testing, clustering, regression & classification, time series analysis, & optimization
* Expertise in statistical programming languages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, etc.)
* Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred
* Experience with SQL and NoSQL databases
* Familiarity with data visualization tools, like Tableau
* Strong analytical, critical thinking, and problem solving skills
* Excellent communication skills -- ability to present complex information in a concise and compelling manner
* Ability and eagerness to constantly learn and teach others
* Prior media or direct-to-consumer industry experience preferred

* Must have the legal right to work in the United States

New York City, New York, NYC, NY



Discovery Communications, Inc. is an equal opportunity employer. Discovery is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.

EEO is the Law

Pay Transparency Policy Statement

If you are an individual with a disability and need an accommodation during the application process, please send an email request to HR@discovery.com. <br><b>Discovery Communications</b><br><br><br><b>Requisition ID</b> 21197<br><b>{}Career Category</b> IT & Technical Operations<br><b>Posted Date</b> 2018-11-01<br><br><b>Location</b> US-NY-New York City<br><b>Type</b> Company Employee Full-Time<br><br><b>Position Summary:</b><br><br><br><strong>Our Team</strong><br><br>The Global Data & Advanced Analytics team enables Discovery Inc to turn data into action. Using big data platforms, data warehousing and business intelligence technology, audience data, advanced analytics, data science, visualization, and self-service analytics, this team supports global company efforts to increase revenue, drive audiences, and enhance consumer engagement.<br><br><strong>The Role</strong> <br>As part of a growing team that is innovating the way Discovery does business around the world, the Senior Data Scientist will be responsible for executing high impact data science projects to support our Ad Sales, Finance, Research, and Media business partners. These efforts will include optimization of revenue, viewership, engagement, retention, content value, and customer value for multiple media platforms. Specifically, you'll be responsible for developing and operationalizing mathematical/statistical analyses, hypothesis tests, and algorithms/models. You'll also be responsible for refining and executing operationalized algorithms and models.<br><br>You'll need to be an innovative forward-thinker who will help lead end-to-end execution of data science projects <br>and contribute directly to existing and emerging business strategies and goals. Communication and ability to work in a collaborative team environment are essential.<br><br>You'll work with the Data Science Sr. Manager, data & analytics team, data engineering team, and business stakeholders to develop, refine, and scale data products. Therefore, this role requires strong technical and communication skills, creativity and attention to detail, and experience executing data science projects from end-to-end - from use case definition to final product delivery.<br><br><br><br><b>Responsibilities:</b><br><br><br>1. Apply data mining techniques to cleanse and explore large, complex data sets in preparation for further analysis<br>2. Apply appropriate data reduction, feature selection, and feature engineering techniques<br>3. Develop and implement hypothesis tests<br>4. Develop, validate, and operationalize appropriate mathematical and statistical algorithms and models; including implementation on large data sets<br>5. Review, make enhancements to, and execute operationalized algorithms and models<br>6. Develop data products to communicate insights to internal stakeholders<br>7. Communicate insights from analyses to internal stakeholders in clear business terms<br>8. Assist in making data science techniques approachable and understandable to non-data scientists<br>9. Collaborate with data & technology teams to create repeatable processes and scalable data products<br>10. Identify appropriate data science solutions as new data-centric business problems arise <br>11. Stay current with new data science methods, technologies, and industry trends<br>12. Support Data Science Sr. Manager in developing and implementing data science processes and best practices<br><br><br><br><b>Requirements:</b><br><br><br>* Master's or PhD degree in a quantitative field (statistics, physics, computer science, etc.) <br>* Minimum of 3-5 years proven business experience and technical expertise in data science <br>* Experience cleansing and preparing large, complex datasets for analysis<br>* Expertise applying statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets <br>* Experience with hypothesis testing, clustering, regression & classification, time series analysis, & optimization<br>* Expertise in statistical programming languages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, etc.)<br>* Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred<br>* Experience with SQL and NoSQL databases<br>* Familiarity with data visualization tools, like Tableau<br>* Strong analytical, critical thinking, and problem solving skills<br>* Excellent communication skills -- ability to present complex information in a concise and compelling manner<br>* Ability and eagerness to constantly learn and teach others<br>* Prior media or direct-to-consumer industry experience preferred<br><br>* Must have the legal right to work in the United States <br><br>New York City, New York, NYC, NY<br><br></p><br><br>Discovery Communications, Inc. is an equal opportunity employer. Discovery is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information. <br> <br><a href="https://discovery.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=581131&hashed=1619517695">EEO is the Law</a><br> <br><a href="https://discovery.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=588767&hashed=2014725565">Pay Transparency Policy Statement</a><br> <br>If you are an individual with a disability and need an accommodation during the application process, please send an email request to <a href="mailto:hr@discovery.com">HR@discovery.com.</a> <br><br> <img src="https://analytics.click2apply.net/v/rl67LqI2pwMQU2p4fg6oJ"> <br/><br/><br><br>* Master's or PhD degree in a quantitative field (statistics, physics, computer science, etc.) <br>* Minimum of 3-5 years proven business experience and technical expertise in data science <br>* Experience cleansing and preparing large, complex datasets for analysis<br>* Expertise applying statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets <br>* Experience with hypothesis testing, clustering, regression & classification, time series analysis, & optimization<br>* Expertise in statistical programming languages such as R or the Python scientific stack (NumPy, SciPy, scikit-learn, etc.)<br>* Experience with Amazon Web Services (RedShift, S3, EC2, EMR, etc.) and Apache Spark preferred<br>* Experience with SQL and NoSQL databases<br>* Familiarity with data visualization tools, like Tableau<br>* Strong analytical, critical thinking, and problem solving skills<br>* Excellent communication skills -- ability to present complex information in a concise and compelling manner<br>* Ability and eagerness to constantly learn and teach others<br>* Prior media or direct-to-consumer industry experience preferred<br><br>* Must have the legal right to work in the United States <br><br>New York City, New York, NYC, NY<br><br>
Posted: 2018-11-02 Expires: 2019-01-03

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Senior Data Scientist

Discovery Communications
New York, NY 10002

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