Job Details

• Conduct statistical analysis of content and consumer web, demographic, behavioral, and transactional data in support of strategic initiatives, from very large datasets (both structured and unstructured) and build models to predict desired outcomes using machine learning and artificial intelligence techniques
• Project work covers all phases – conceptualization, assessment, planning, data acquisition, profiling, modeling, documentation, and presentation of findings/recommendations.
• Build a Data science team at our Chennai office
• Work with management and organizational peers (at US and India) to improve business results, by applying analytic findings to ongoing business activities, and develop recommendations to guide future activities
• Work with partners in Data Engineering, Product, Programmatic and Ad Operations teams, to operationalize integration of analytic models into production environment(s)
• Conduct exploratory analysis against data from internal or external sources, to surface interesting and valuable insights
• Stay current on relevant academic and industry developments to identify best-in-class algorithms, techniques, libraries, etc.
• Design tests, benchmark and track performance of analytic solutions/models over time. Perform ad hoc analytic tasks and reporting as needed

• Solid experience in deploying predictive models in production environment at scale.
• Exceptional quantitative analytics/applied statistics/machine learning skills, and other techniques appropriate for large scale data analysis, model building and validation.
• Exceptional skills with Python and R
• Experience with big data technologies: Hadoop, AWS/EMR, Spark, Hive, Pig.
• Self-motivated and have ‘proven’ leadership skills
• Exceptional communication skills, particularly in communicating and visualizing quantitative findings in a compelling and actionable manner for management
• Strong set of professional skills: attention to detail; analytic, logical and creative problem solving; critical thinking; ability to work independently and within a cross-functional team.

Reference ID - GH/CRS/JC//25032019//82666/Senior Data Scientist