Director, Data Science - Graph & Insights

Univision

Education
Benefits
Skills

ABOUT THE ROLE & TEAM:

TelevisaUnivision is the leading Spanish-language media company in the world! We’re investing in our content, our people, and our properties, which span digital, streaming, social, audio, linear and live events. We’re growing our offerings, building on the launch of our successful streaming platform ViX.

TelevisaUnivision is seeking a Director of Data Science, Graph and Insights to join our Enterprise Data Science team. The Enterprise Data Science team serves as the data science hub for the organization, providing access and insights to our business leaders as they both develop new services and optimize existing services. This team is responsible for building and enhancing large-scale and high-performance systems to organize and store data from multiple platforms and conducting advanced statistical analyses to help optimize the experience for our digital audience. This team also develops key data assets for the company, including our Hispanic HH Graph, personalization and lifecycle propensity algorithms for ViX, lookalike modeling capabilities, proprietary customer segments, and manages relationships with key partners to improve UCI data assets and enable new data-driven services.

The Director of Data Science, Graph and Insights will be tasked with maintaining and improving our industry-leading Hispanic household graph and lookalike modeling framework, with core competencies being validating/sourcing/cleaning/transforming new and legacy 1st and 3rd party datasets for inclusion in our proprietary graph building pipeline and lookalike models and helping mentor and guide other data scientists deliver data-driven insights from the graph to marketing and ad sales stakeholders internally. You are expected to be a player-coach, with an equal amount of time spent on hands-on technical work and mentoring junior colleagues. This role reports into the Head of Data Science.

A successful candidate will be an integral member of the Enterprise Data Science team and a key partner for analysts and data scientists in the business units. This individual will help to develop a team of data scientists, through coaching and processes that bring about team-work and technical excellence. This person will also work closely with colleagues across the wider data strategy organization to develop new proprietary data assets and with our platform teams to develop net new services and maintain/optimize existing ones.

YOUR DAY-TO-DAY:

  • Manage, grow, and motivate a group of data scientists
  • Be a technical leader and go-to expert for tactics and technical strategy
  • Build transformations leveraging any net-new 1st or 3rd party data sources as inputs into the household graph
  • Develop and manage household graph-related infrastructure and algorithms
  • Maintain and improve our graph-enabled lookalike modeling framework
  • Own and steer all graph-related reporting and insights-based requests
  • Own and optimize our segment creation process
  • Execute deep-dive analyses that are priorities for advanced ad sales and marketing
  • Facilitate data-driven and informed decision making and prioritization
  • Develop strong cross-functional partnerships across Univision to drive team success
  • Drive outstanding performance for the Graph and Insights pod

YOU HAVE:

  • 3+ years of experience with team leadership or team management
  • 6+ years of experience with data science
  • Demonstrated use and understanding of statistical analysis
  • Expert level proficiency in Python
  • Expert level proficiency in SQL
  • Expert level proficiency in at least one cloud architecture (GCP/AWS/Azure)
  • Bachelor’s degree in a broadly quantitative field
  • Experience conducting analyses to drive business impact
  • Experience communicating effectively with business leaders and cross-functional stakeholders of different disciplines
  • Experience managing multiple projects and deadlines in a fast-paced environment with minimal guidance

(Desired Skills, Qualifications and Experience)

  • Experience building pseudonymous identity frameworks leveraging device graphs
  • Extensive experience with google cloud platform
  • Experience with large data sets and data warehouse environments (Big Query/Snowflake)
  • Ability to thrive in a high pressure and rapidly changing, less structured environment
  • Ability to multi-task, meet deadlines, and maintain focus and confidentiality
  • Strong relationship building ability
  • Excellent written and verbal communication skills
  • Advanced (M.S./Ph.D.) degree in a broadly quantitative field
  • Full professional proficiency in English and either professional Spanish proficiency or the desire to become proficient in Spanish
  • Has knowledge of and actively consumes TelevisaUnivision content is a plus!

ELIGIBILITY REQUIREMENTS

  • Must be willing to work in the US
  • Employment/education will be verified
  • Applicants must be currently authorized to work in the United States on a full-time basis

Exact compensation may vary based on skills, experience, and location. Please note the national salary range listed in the job posting reflects the new hire salary range across levels and U.S. locations that would be applicable to the position.

Salary Range:

170,000 - 215,000 + benefits

OUR BENEFITS:

TelevisaUnivision believes that a happy, well-balanced employee is what makes our culture thrive. We offer a wide selection of perks and benefits including PTO; tuition reimbursement; wellness and employee support programs; 401K; and life and other insurance plans. This is all in addition to our comprehensive and competitive health benefits package featuring medical, dental and vision coverage options.

Univision is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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Confirmed 4 hours ago. Posted 30+ days ago.

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