Lead Data Scientist

8 - 10 years experience  •  Internet Services

Salary depends on experience
Posted on 09/21/17
8 - 10 years experience
Internet Services
Salary depends on experience
Posted on 09/21/17

Our Data Scientists deliver analytic solutions across a wide variety of client applications. We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients.


As a Lead Data Scientist, you are our internal expert. You’ll develop and implement multi-faceted solutions for complex marketing and business challenges—from cross-channel media and customer experience optimization to segmentation, targeting and business strategy—synthesizing just the right elements of our technical and analytical offerings.

Day-to-day, your role includes:

  • Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.
  • Providing Internal expertise in fundamental skill areas such as statistical methods, machine learning, AI, distributed computing, and open-source programming.
  • Providing thought leadership and innovation in process, technique, and implementation.
  • Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
  • Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
  • Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.

We’re looking for rigorous analytic training and 7+ years professional experience in a data science or analytics role, which typically includes:

  • Robust domain expertise in areas of statistical methods, machine learning, AI, distributed computing, and/or open-source programming languages


  • Experience integrating a variety of data sources, methods, and applications to achieve specific objectives
  • Experience implementing a range of statistical or machine learning methods, from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation.
  • Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
  • Demonstrated ability to communicate complex technical concepts to non-technical audiences
  • Demonstrated passion for marketing analytical applications
  • Demonstrated self-starter who thrives in a fast-paced environment with fla

Job ID  2017-25530

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