Director, Data Science

United States

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Nielsen

A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.

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Our business is centered on data, because it’s what our clients need to make confident decisions that shape the future of media. Our Data Science team delivers essential metrics and insights to brands around the world through new product ideation, experimental design and complex analysis.
Director, Data Science - Digital Measurement
The Company:Nielsen brings to bear the market’s most powerful proprietary data assets, and togetherwe are helping the world’s biggest brands make better and faster media and marketingdecisions. We are permanently disrupting the landscape of audience measurement. Ourpurpose is to power a better media future for all people, Audience is Everything™ toNielsen and its clients, and Nielsen is committed to ensuring that every voice counts. Formore information, please visit nielsen.com, or follow us: @Nielsen
The Role:Nielsen’s unique position as the trusted source of media measurement in the evolvinglandscape of digital media creates room for innovation and creativity in developinginnovative digital measurement products. Your role as a leader, innovator, and builder iscritical for these efforts. You will work closely with counterparts in Data Science, Productand Engineering to ensure delivery of new methodologies and enhancement andimprovement of the existing ones. Achieving this will require expertise in design anddevelopment of statistical methodologies and machine learning models, experience indeveloping and maintaining complex production pipelines while adhering to softwaredevelopment best practices, and curiosity and interest to understand the evolvinglandscape of digital media. This position reports to the VP, Digital in Nielsen's DataScience Department.

Responsibilities

  • Lead Data Science software lifecycle to maintain and enhance our production code.
  • Contribute to pipeline and software architecture efforts in the Digital Data Science team
  • Design novel measurement techniques to meet product requirements, employing statistical and machine learning techniques
  • Serve as primary Data Science contact for Digital product portfolio, initiate methodology discussions with relevant stakeholders, and provide final Data Science decisions
  • Direct enhancement of existing measurement methods, methodology validation support, quality assurance, and responding to client inquiries
  • Work collaboratively with cross-functional stakeholders to prioritize work, ensuring products and projects are aligned with business objectives
  • Regularly lead client calls to communicate technical concepts to technical and non-technical audiences
  • Mentor and teach early- and mid-career associates

Essential Qualifications:

  • 5+ years of people leadership experience in progressively more complex roles
  • Strong statistical and machine learning skills
  • Advanced degree in Computer Science, Engineering, Physics or similar
  • Proven track record of design and implementation of data pipelines
  • Excellent communication skills, ability to explain complex problems to technical and non-technical audiences
  • Experience of work with large enterprise data systems and cloud platforms
  • Experience of work with Hadoop, Apache Spark, and other big data systems

Preferred Qualifications:

  • PhD in Computer Science, Engineering, Physics or similar
  • Experience in digital media or the ad-tech ecosystem
  • Experience in regulated or audited environments

Tags: Architecture Big Data Computer Science Data pipelines Engineering Hadoop Machine Learning ML models PhD Physics Pipelines Spark Statistics

Region: North America
Country: United States
Job stats:  10  1  0
Category: Leadership Jobs

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