Lead Data Scientist, Client,Analytics Lead Data Scientist, Client,Analytics …

in Chicago, IL, United States
Permanent, Full time
Be the first to apply
in Chicago, IL, United States
Permanent, Full time
Be the first to apply
Lead Data Scientist, Client,Analytics
All companies + Hiring difference makers. ☰ Lead Data Scientist, Client Insights - Analytics 💼 Nuveen 📅 Jun 10, 2020 Post Date Apply for Job Share this Job   Position Summary

Nuveen is in the process of transforming its distribution model to expand our client engagement by utilizing digital and predictive analytics.  The VP, Lead Data Scientist will be responsible for developing Nuveens data science capabilities enhancing the effectiveness of client acquisition, development and retention.  They will collaborate across the Global Distribution, Product, Marketing, Client Servicing and Technology teams and lead a team of onshore and offshore data science and engineering resources.

Primary Responsibilities
  • Lead a team of data scientists and engineers onshore and offshore to deliver data sciences capabilities

  • Collaborate with the organization to create use cases for predictive and prescriptive analytics

  • Design and develop analyses based on prioritized use cases

  • Identify and use appropriate investigative and analytical technologies to interpret and verify results

  • Develop statistical and machine learning techniques to build models that improve how we engage with clients

  • Apply and learn a wide variety of tools and languages to achieve results (e.g., Python, R, SPSS, Hadoop)

  • Lead the integration of data and predictive models into decision making across the organization

  • Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept

  • Communicate findings to team and leadership to ensure models are well understood and incorporated into how we go to market

  • Document model development and maintain models in appropriate platforms in partnership with technology

  • Cultivate an innovation mindset within the team and the organization to continue learning and driving data into the core of decision making

  • Define requirements for data science environment and tools required to be successful.  Ensure these requirements are met and environment maintained in partnership with technology.

  • Requires minimum 5 years experience in advanced analytics, model building and deployment, and machine learning

  • Advanced degree in relevant field required (computer science, statistics, applied mathematics)

  • Experience in normalization of data, data mining, and tools

  • Experience in building and maintaining environments and platforms required for effective data sciences efforts

  • Experience with third party API integration and visualization capabilities

  • Strong executive presence, with the ability to communicate effectively with stakeholders at all levels

  • Demonstrated leadership skills and ability to work across multiple teams and platforms in a matrixed organization

Additional Information
  • Requisition ID: 1726953
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