We are looking for Data Scientists whose roles and responsibilities include extracting data from multiple sources; using machine learning tools to organize, process, clean, and validate data; analyzing data for insights and patterns; developing predictive systems; presenting data clearly; and proposing solutions and strategies.
Essential Duties and Responsibilities:
- Work with stakeholders across the organization to identify opportunities to leverage 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 for 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.
Experience:
Also, the following experience is required to successfully execute the responsibilities assigned to this position:
- Experience querying databases and using statistical computer languages: R, Python, SQL.
- Experience using web services: Redshift, S3, Spark, Digital Ocean.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, and Facebook Insights.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot.
- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
Other Qualifications:
- Strong problem-solving skills with an emphasis on product development.
- 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) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Coding knowledge and experience with several languages: C, C++, Java, and JavaScript.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.
Education:
Candidate must hold a master's degree in computer science, information technology, statistics, informatics, data science, mathematics, or another quantitative field. They must also have 5-7 years of proven work experience as a Data Scientist, specifically in the technology industry.
Other:
Must be a U.S. citizen and a U.S. Resident
Fully Bilingual (English and Spanish)
