Data Science Engineer

• Identify business hurdles and opportunities for performance improvements
• Resolve bottlenecks utilizing analytics to make strategic or tactical modifications
• Contribute to different processes like data cleaning and wrangling, quantitative analysis, data mining, etc
• Invest time to understand how users interact with consumers and products
• Work closely with product and engineering teams to resolve problems and identify trends and opportunities
• Inform, influence, support, and execute product development decisions and launches
• Help to forecast and set product team goals along with designing and evaluating experiments
• Keep monitoring key product metrics and understand key factors behind changes in metrics
• Building and analyzing dashboards and reports
• Building key data sets to empower operational and exploratory analysis
• Help to evaluate and define metrics
• Suggest components/processes build in the next roadmap
• Develop an understanding of ecosystems, user behaviors, and long-term trends
• Work on identifying new levers in order to move key metrics
• Develop models of user behaviors for analysis and power production systems
• Assist product teams using presentations of data-driven recommendations
• Communicate the state of business, experiment results, and more to product teams
• Implement the best practices for analytics and product teams

Job Requirements:

• Bachelor s Degree/MA or Ph.D. with a focus in Business, Math, Economics, Finance, Statistics, Science or Engineering
• At least 3+ years of experience working as a Data Science Engineer
• Must be able to perform quantitative data analysis, write reports, and present findings
• Should possess expertise in Data querying languages like SQL, scripting languages Python, or statistical technologies like R, SAS, or MATLAB
• Must have strong analytical skills for collecting, organizing, analyzing, and disseminating large amounts of info with attention to detail and accuracy
• Thorough understanding of applied statistics or experimentation (i.e., A/B testing) in an industry setting
• Should be able to communicate results of analyses to product or leadership teams to influence the strategy