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Principal Data Scientist


Sourcepoint / New York / Engineering & Modelling
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Job Overview

The Principal Data Scientist role is responsible for leading data science and analytics projects across the organization. Sourcepoint has multiple product lines and this role will be crucial in identifying machine learning and analytics opportunities. As opportunities are defined this person will be responsible for working with Product to gather requirements and then working through normal R&D cycles to produce the highest performing models. Then partner with Engineering to scale and deploy to production. This position is highly technical and very hands-on.

This role will work closely with our C-level team as well as our VP, Engineering, SVP of Product and Lead Engineers and Product owners

Responsibilities:

  • Has primary responsibility for creating data science driven capabilities that are critical to the business
  • Ownership includes end to end development of complex systems and the negotiation of requirements, architecture, and data flows with multiple engineering and product teams
  • Exhibits leadership and influence beyond themselves, from exceptionally strong individual contribution, team leadership, or some balance of the two
  • Responsibility for leading the creation of data analytics solutions in the form of dashboards and quarterly reports. Partnering with data engineering and analysts to lead analytics initiatives
  • Deliver impactful business results through the development and delivery of cutting-edge machine learning models
  • Leverage Big Data tools and techniques in order to build innovative solutions using appropriate modelling techniques
  • Assist in driving improvements to our current prediction modelling infrastructure in terms of process, performance and testing
  • Work with large, complex data sets whilst solving challenging business problems
  • Collaborate with internal business stakeholders, data scientists and engineers in order to identify improvement opportunities from an AI perspective
  • Work cross-functionally across Product, Engineering, Sales, and Services teams

Qualifications:

  • Masters / PhD degree in Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
  • Experience in data science specialization, including statistical data analysis and/or machine learning in an enterprise-scale environment
  • Experience with general purpose programming language (Python / Java / C# etc.) and Machine Learning techniques
  • High familiarity with libraries such as scikit-learn, tensorflow, keras, pandas, numpy
  • Excellent interpersonal, analytical, communication, and presentation skills – the ability to communicate complex findings in a simple manner.
  • Knowledge of AWS cloud infrastructure technologies and AWS APIs
  • Ability to use a wide variety of open source technologies and cloud services
  • Strong statistical modelling background

Beyond your specific technical competency and experience, we are looking for people who:

  • Can communicate well with others
  • Are self-starting and can work independently
  • Embrace using data to help make decisions
  • Like to work with others as a team
  • Deal well with change and challenge

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Sourcepoint Overview

Sourcepoint is the data privacy software company for the digital marketing ecosystem. We provide tools to protect consumer privacy, manage compliance and optimize revenue in a rapidly changing landscape. Founded by a team of digital advertising veterans, Sourcepoint has offices in New York, Berlin, London, and Paris.

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