Location: Yerevan, Armenia
Category: Software development
Type: Full time
Deadline: 28-Mar-20 12:00:00 AM
Salary:
Description
Responsibilities
- Work with large, complex datasets to uncover and solve difficult analysis problems, generating insights that drive key decisions across the platforms
- Implement advanced data mining techniques to analyze a wide range of user behavior by employing a variety of tools, developing predictive models, and running simulations to optimize user experience, business outcomes, and marketing strategy
- Conduct hypothesis-driven exploratory analysis to evaluate user experience and growth as well as determine causal links between these metrics and product changes, making data-driven recommendations on how to improve engagement, retention, and stickiness
- Work cross-functionally to define problem statements and collaboratively pursue research by designing experiments, analyzing quasi-experimental variation in data, and conducting A/B tests
- Use advanced statistical analysis to extract insights from user data (e.g., correlational and multivariate analysis, linear regression models, structural equation modeling, etc.)
- Translate complex findings and results into a compelling narrative in reports and presentations that use effective data visualization and communication techniques
RequiredQualifications
- 3+ years of Data Science experience
- Bachelor’s degree in the quantitative fields such as Computer Science, Statistics, Predictive Analytics, or Applied Mathematics (master’s degree or PhD preferred)
- Experience using statistical software (e.g., R, Python, MATLAB, Pandas) and SQL to extract and manipulate data from multiple sources, conduct advanced statistical analysis, and create visualizations
- Experience in mining complex correlational findings and constructing reports that meaningfully convey the relationship between many different variables
- Ability to design and run A/B testing experiments to improve user engagement
- Delivery-oriented personality, ability to lead and execute all analysis and modeling from start to finish
- Experience with business intelligence, dashboarding, and visualization tools (e.g., MetaBase, Tableau, Looker, Periscope, Grafana, Talend)
- Creative and critical thinking to deconstruct problems and transform personal insights into data-backed recommendations
- Communicating clearly, concisely, and persuasively on quantitative topics, verbally and in writing
- Ability to anticipate needs, plan ahead, implement accordingly, and function as a true self-starter with a sense of personal responsibility
- Ability to handle multiple assignments simultaneously, prioritizing (and reprioritizing), and working effectively and efficiently in a fast-paced, deadline driven environment
- Flexibility, curiosity and ability to learn new tools and technologies quickly
- No task is too small or big mentality
Bonus Skills
- Experience in computational social science and analyzing data from academic research
- Ability to review academic literature to exact insights about the relationship between different variables and research findings, which will inform mining our datasets
Benefits
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