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Job Description
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Mashup multiple big-data sources into meaningful business insights.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Liaise with senior transport planner to model and optimize network expansion.
Job Requirements
- Bsc. in Computer Science, Statistics, Mathematics or relevant field.
- 0-2 years of professional experience.
- Acquaintance with using statistical computer languages and querying databases with (R, Python, SQL, MySQL etc.) to manipulate data and draw insights from large data sets.
- Basic knowledge working with and creating data models and complex architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, AdWords, Crimson Hexagon, Facebook Insights, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. is a plus
- Experience visualizing/presenting data for stakeholders using BI tools (MS Power BI, Tableau, D3, etc.)
