This Job Vacancy has Expired!

Head of Data Science

Posted on Sep 22, 2021 by Zip

New York, NY 10001
IT
Immediate Start
Annual Salary
Full-Time


As our VP, Data Science and reporting to the Chief of Risk and Analytics, you will manage, nurture and grow a talented team of analytics and data science professionals.
You will plan, formulate and execute the Data Science team's roadmap, build partnerships with partner teams both within the US and across the global Zip family. You will be comfortable working from a drawing board to solve business problems, and work with Infrastructure teams in deploying scalable solutions.


What will your day look like?


Lead and manage a Global Data Science team
Partner with global leadership team to develop data-driven business strategy
Deliver insights to help shape strategy across a wide spectrum of business and technology areas, including Customer Acquisition, Customer Lifecycle, Fraud analytics, Risk management, Application Features, Marketing Analytics, Customer Profitability Models, Collection Models etc.
Provide guidance and thought leadership on analytical best practices to team members and business partners
Partner with our Data Engineering team to build requirements for data infrastructure necessary to facilitate efficient analysis and reporting
Translate analytic insights into concrete, actionable recommendations for business or product improvement


To help us level up, youll ideally have:


Graduate degree in Engineering, Mathematics, Economics, Statistics or another quantitative field. PhD preferred.
10+ years of experience in Decision Sciences, Advanced Analytics, Quantitative modeling or statistical/machine learning; 5+ in a managerial capacity.
Record of leading teams through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
Proficient in Scripting and querying languages (eg: R, Python, SQL), statistical methods, distributed "big data" technologies (eg: Spark, Hive, BigQuery, redshift), Azure or AWS ecosystem, and applied experience with machine learning on large datasets
Experience in developing custom statistical models and analytical tools to supporting project design and interpretation
Demonstrated self-direction, with a desire both to learn new techniques and teach others
Experience in tackling hard problems, handling ambiguity, and being able to see through the clutter in a fast-paced environment
Exceptional critical thinking and attention to detail
Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a C-level team




Reference: 1329307878

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