Vice President, Data Science

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News, FOX Sports, the Fox Network, and the FOX Television Stations.

We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

Join the Fox team and make your mark as we build our innovative media and broadcast operations from the ground up, leveraging cutting-edge broadcast and cloud technologies!

You will work across diverse areas that include content distribution, ad sales, and sports production.

You should be able to execute analytics projects and explain and educate the findings to a wide group of stakeholders.

The role is very hands-on and has a strong leadership presence.

You will provide thought leadership and subject matter expertise on Advanced Analytics techniques and bring new ideas and approaches to solve problems.

A Snapshot Of Your Responsibilities

• Direct data science projects to solve complex data challenges and opportunities

• Define, build, grow, and lead an exceptional team that delivers novel, strategic data science approaches in diverse and industry-leading skills in deep learning, computer vision, natural language process, personalization, and data engineering and tooling

• Develop operational metrics and KPIs that are meaningful to the business and ensure successful business outcomes

• Develop models that help us deeply understand and describe our consumers in order to drive consumer-focused business growth

• Manage resources to ensure strategic and operational objectives are met

• Own relationships with diverse business stakeholders to understand current and anticipate future customer and business needs, understand requirements and define relevant strategic questions

• Shape research and analytic plans, developing appropriate quantitative methodologies and encouraging quality implementation of end-to-end analytics programs

• Create and deliver impactful presentations for mid-level and senior-level audiences

• Size and scope growth opportunities, which should include a business case, a path to growth, an implementation plan, and stakeholder buy-in

• Additional responsibilities as assigned

What You Will Need

• 10+ years of experience working in data science and/or advanced analytics with a track record of delivering insights and business impact

• Experience working in a production environment with large data sets and best practice tools (e.g.

cloud architecture, version control, etc.)

• Experience with advanced analytic techniques, such as marketing mix, predictive modeling, multivariate regression analysis and ROI measurement

• Experience solving difficult, non-routine analytical problems with a deep consumer focus, applying advanced analytical methods as needed, including big data analysis (using SQL, R, Python), visualization (Tableau) and digital analytics tools (Looker analytics)

• Experience with a modern Machine Learning framework such as TensorFlow or Torch

• Experience with Machine Learning cloud services on Google, AWS or Azure

• Strong experience and interest in growing and leading teams

• Practical experience with Machine Learning methods, common cloud-based data analysis tools and frameworks (Hadoop, Redshift, SageMaker, Spark, SQL, R, etc.)

• Extensive experience with Machine Learning development in Python

• Practical understanding of building, cleaning and operationalizing data sets

• Expertise with at least one production-quality programming language (e.g.

Java, Python, C++)

• Deep familiarity with very large data sources and best practice research methods and applied statistics, including sampling approaches, causal modeling, time series analysis, and datamining techniques in capturing and predicting consumer sentiment, behavior and feedback

• Demonstrated achievements in solving real-world advanced analytics challenges and managing a complex portfolio and multiple stakeholders in a fast-moving, dynamic and matrixed team and business environment

• Ability to achieve operational excellence by instilling a data-driven mentality across the organization

• Ability to work effectively in a fast-paced, team environment

• Excellent communication & presentation skills along with interpersonal and influencing skills (at all levels internally, externally and cross-functionally).

• Superior organization, project management skills and attention to detail

• Bring your industry expertise to challenge existing assumptions and introduce new technologies and processes anywhere in the video streaming lifecycle

• High level of commitment to quality work product and organizational ethics, integrity and compliance

• Strong interpersonal skills and the ability to effectively communicate, both written and verbally

• Track record of continuous development & remaining current in a rapidly changing field

Nice To Have, But Not A Deal Breaker

• Knowledge of the media

• Knowledge of the sports and/or entertainment

• Advanced Degree in CS, Applied Math, Statistics, or another scientific field

About You

• You have an eye for products where you relentlessly put the customer at the heart of any of your strategic decisions

• You enjoy having a strategic impact at the executive level, including interacting with and influencing other leaders to set business strategy and untangle complex decisions and issues

• You have a deep technical background in applied machine learning, spanning some or all of deep learning, computer vision, natural language processing, personalization, human-in-the-loop, etc.

Expertise in content distribution is a plus.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law.

We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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