Data Scientist
Velti - San Francisco, CA

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This position will work with a team of Business Intelligence and Data Architecture professionals in addition to key decision-makers as a data-driven advisor and partner on strategic issues. The candidate will conduct ad-hoc statistical analyses, data mining, apply and test models, run test/control scenarios and present results and recommendations to both technical and non-technical audience. The candidate desirably should combine business acumen and deep analytical skills to drive impactful insights for the various business units of Velti.

  • Perform detailed data exploration and validation to separate genuine phenomena from spurious anomalies (e.g., outlier detection).
  • Develop, implement, and evaluate complex statistical models to predict or describe user behavior and campaign patterns (e.g., segmentation, propensity scoring, revenue projections per user segment, survival analysis, attribution modeling).
  • Work with BI analysts in the various business units to design and analyze structured experiments to understand/measure the effects of changes in various campaign factors driven by the developed models.
  • Present new insights and analyses that inform decisions and help Velti‚Äôs continued success in developing innovative solutions in engaging people participating in the various campaign programs.
  • Collaborate across functions to design and deploy our next generation analytics system
Required Experience & Qualifications:
  • Proven experience as a Data Scientist and demonstrated employment of a variety of analytical methods using applied statistics and data mining according to the corresponding business objectives.
  • Minimum of 3 years of a professional level enterprise Data Science experience, for a company of similar size and complexity. Working experience in the fields of Mobile Advertising, Mobile Marketing, Internet, Media, Social or Online Gaming preferred.
  • Experience with Ad Server, DSP (Demand Side Platform), DMP (Data Management Platform), Ad Exchange, and RTB (Real-time bidding) is a huge plus
  • Thorough knowledge of supervised and unsupervised modeling techniques
  • Ability to communicate clearly, in non-technical language the impact of the data modeling results to non-technical business stakeholders and decision makers.
  • Employ and share with Velti BI teams, best practices to promote collaboration, knowledge and skills development.
  • Deep knowledge of classical statistical methods, Bayesian analysis, machine learning and data mining.
  • Expert knowledge of R or Matlab is required.
  • Proficiency in data management, SQL and shell scripting.
  • Experience working with large data sets, using analytical databases (Vertica, Paraccel) is an advantage, working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.) is plus
  • Attention to detail, data accuracy and quality of output.
  • MS or PhD in applied statistics, mathematics, economics, or a related quantitative field.
  • Curious about big data problems and just about anything else.
  • Outstanding problem solving skills
  • Hands on, results-driven who can work with extreme efficiency, excited to learn new things and effective problem solver.

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