Product Analytics - Lead, Data Science

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and data analytics background.

Responsibilities:

• Work actively on A/B testing projects: Setting up the test, hypothesis, executing the test, conducting analysis on how current features are performing, providing recommendations such as optimizing of the funnel etc. is critical
• Partner cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources
• Work closely with and serve as the analytics and experimentation subject matter expert for product domain areas
• Design new methods and best practices for analysis and presentation of comparative data
• Perform in depth research on root cause of data anomalies that are uncovered through normal course of analysis
• Produce an often complex collection of reports, graphs, summaries and presentations that convey analytic results and align with business needs
• Experience in media, telecommunication, entertainment industry is needed
• Should have experience on experimentation platform - split.io in addition to inhouse developed tools
• Experience with BI platform such as Looker is desirable
• Ability to run ad hoc analysis with little to no supervision
• Ability to answer the business questions – provide tangible and meaningful recommendation with impact

Requirements

• 5+ years of relevant work experience
• Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
• Solid understanding of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Consistent exercise of independent judgment and discretion in matters of significance
• Strong project management and team management skills and ability to work with global teams
• Integrates knowledge of business and functional priorities.
• Acts as a catalyst in a complex and crucial environment
• Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.