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JOB DESCRIPTION & REQUIREMENT:
About the Company:
The eCore Organization combines virtual work, international development, and a wealth of entrepreneurial experience. We all believe in using technology, talent, and innovation to simplify costly business processes while providing jobs to hard-working iniduals deserving of opportunities and those who serve as our organization's core values.
About the Worker Community:
eCore Services gives skilled iniduals access to fair-wage digital work all over the globe. The majority of eCore members were underemployed or unemployed before joining. Because our worker community is structured like a traditional workforce, members have the opportunity to develop essential skills, professional development, advances in careers, work in teams, and interact with community members.
Job Overview
eCore is looking for a Data Scientist who will support our organization with insights gained from analyzing company data. The ideal candidate should be well versed in analyzing large data sets to identify opportunities for product and process optimization and using models determine the effectiveness of different courses of action. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable communicating and working with a wide range of stakeholders and functional teams. They must have a proven track record of success utilizing data analysis and insight.
Responsibilities for Data Scientist
- 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.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Analyzing, validating, and optimizing data sets contained in spreadsheets. This includes assisting in the migration to more structured data solutions.
Qualifications for Data Scientist
- Strong problem-solving skills with an emphasis on product development.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data 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.
- We're looking for someone with 5-7 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
- Coding knowledge and experience with several languages: C, C++, Java, Python, etc.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- 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.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
