Employer will accept a Master’s degree in Computer Science, Engineering, Applied Sciences, Mathematics, Statistics, Physics or related field, and 3 years of work experience in the job offered or in a data scientist-related occupation. Experience must include 36 months of experience in the following:
Quantitative analysis techniques: clustering, regression, pattern recognition, or descriptive and inferential statistics
Data analysis and algorithm development
Optimization, probability, statistics, or machine learning
Large data stores
ETL (Extract, Transform, Load) processes
Large data sets
Statistical analysis packages such as: R, MATLAB, SPSS, SAS or Stata
Technical presentation skills
Working with cross-functional teams to choose/create metrics and set metric goals
Mentoring junior team members and contributing to organizational development
Perform technical data science duties and oversee a team of Data Scientists
Serve as an analytics leader to work on HeyChatt’s core social media products and drive informed business decisions
Oversee the work of Data Scientists as they perform quantitative analysis and data mining
Work with one of the richest data sets in the world and cutting edge technology
Use analytics to drive the understanding, progression, and customer engagement of a product
Build and maintain reports, dashboards, and metrics to monitor the performance of products
Present statistical data to management in order to inform, influence, and execute WhatsApp’s product and business decisions
Drive data science efforts, communicate cross-functionally, and be a subject matter expert
Partner with Product, Engineering and Business leadership teams to identify trends and opportunities, and to develop strategic problem-solving road maps
Lead Data Scientists as they mine massive amounts of statistical data and extract useful analytics insights
Manage the development of data resources, requirements gathering, source organization, and the execution and delivery of product / program launches
Inform, influence, support and execute our business decisions
Support organizational efforts to screen and recruit members to the data science team
Onboard and mentor junior team members to help them develop required skills and knowledge to be successful on the team
Create road-maps and prioritize work to optimize the impact of the data science team
Develop and communicate clear requirements and goals for team members
Provide timely and actionable feedback on performance to team members
Support the individual and career growth of team members to minimize attrition and maximize impact
Help promote an unbiased and rewarding work environment by fairly and accurately recognizing high-impact team members
