Data Scientist Internship - Summer

Key Skills

.NET, Apache Hadoop, Apache Hive, Clustering, D3.js, Data Architecture, Data Mining, Decision trees, ggplot, Gradient Boosting trees, Gurobi, Large data sets, MapReduce, MySQL, Neural Networks, Periscope, Python Programming, Random forests, Regression Analysis, Scikit-learn, SPARK Programming, SQL, Statistical modeling, TensorFlow, Text Processing

Job Description

We are looking for a Data Scientist Intern who will support our production, sales, construction and marketing teams with insights gained from analyzing company data. Thae ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have 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 have an ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

The Data Scientist Internship will work mostly remote and on occasion in-person at our Broadlands, VA, or Fairfax, VA offices.

Responsibilities:

• 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

Qualifications:

• Problem solving skills with an emphasis on product development
• Experience using statistical computer languages (Python, SQL, .NET, SciKit, and TensorFlow) 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 experience manipulating data sets and building statistical models, who has coursework in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

• Coding knowledge and experience
• 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, SQL, .NET, 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.