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Vice President, Data Science
Advertising Industry Company
Dallas, TX, United States
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Overview
Company is looking for a smart, Vice President, Data Science that is intimately familiar with turning data into models for empowering client and platforms.
Reporting directly to the Chief Data Officer, the Vice President, Data Sciences will oversee all Data Science and Machine Learning across the agency. In this role, you will apply your machine learning expertise and stellar leadership skills to turn data into world class consumer products that bring us together by discovering how we're interconnected.
Responsibilities
• Manage the Data Science & Machine Learning function across the agency, including data science to drive product innovation, customer success, and marketing optimization.
• Oversee the Data Science road map based on the business priorities working with all divisions. Manage multiple projects in parallel and oversee their completion from start to finish, setting goals and project milestones.
• Work specifically in a variety of areas: Machine Learning, Artificial Intelligence, large scale cookie level analysis, and more
• Partner with Data Engineering leadership to design a world-class machine learning infrastructure and production environment.
• Champion a data-driven culture and drive long-term business value creation through development of best-in-class data science capabilities.
• Create new analyses, models, and/or tools that deliver insights that enable the business partners to further their objectives
• Manage a pipeline of projects/products and their on-time delivery
• Manage data scientists to help execute on your strategic vision
• Champion a data-driven culture and drive long-term business value creation through development of best-in-class data science capabilities
• Consult with and deliver results to partners within tight time constraints that consistently meet or exceed the expectations of the client
• Act as a thought leader in the industry. Contribute to the success of other team members by providing training and leadership in thought generation, analysis, coding, and mentorship
Qualifications
• PhD in Statistics, Data Science, Econometrics, Computer Science, Operations Research, or related quantitative degree is required.
• Minimum of 12 years analytics experience in business environment
• 6+ years of work experience in the Data Scientist role with Fortune 500 companies or top consulting background. Experience in digital analytics or marketing analytics required
• Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices.
• Exceptional people manager, mentor, and leader. You will have a minimum of 5 years of experience managing a team of data scientists with high retention rates.
• Proven track record of overseeing multiple data science and machine learning projects at all stages, from idea generation to objectives formulation to implementation and deliverables.
• Proficiency in both Python and R.
• Minimum of 2 years of experience with Hadoop stack (HIVE, Pig, Hadoop streaming) and MapReduce.
• Excellent written and oral communication skills.
• Excellent project management skills, with a proven track record of on-time and within-budget delivery. Exceptional ability to manage priorities across multiple stake holders.