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Data Scientist

Position Overview

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The 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 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 have a proven ability to drive business results with their data-based insights. They must be comfortable working with a diverse range of team members. The right candidate will have a passion for discovering solutions hidden in large data sets and working with participants to improve business outcomes.

What To Expect

You will be involved in a highly technical field with technology that is always evolving. The products and services that we develop are launched on a global scale to a variety of governments, militaries and private industries. You will be in a small business environment going through extreme growth with individuals who are passionate about what they do. Be prepared to learn new technologies as well as share your expertise to help grow our business. Scheduling is flexible and you will be required to successfully self-manage your time when not collaborating with other members of your team. Options are available for onsite or remote operations, however, expect to be involved in team discussions either through your physical presence or video conferencing.

Responsibilities
  • Work with team members 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 - Required

Required: Must have the following expertise:

  • Strong problem solving skills with an emphasis on product development.
  • 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.
  • 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.
  • Superior Proficiency level with the following software/tools:
    • Coding knowledge and experience with several languages: C, C++, Java,JavaScript, 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, SQL, etc.
    • Experience using web services: Redshift, S3, Spark, DigitalOcean, 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 team members using: Business Objects, D3, ggplot, etc.

Required Experience
  • Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field plus 5-7 years of experience manipulating data sets and building statistical models.

Department: 
Research & Development
Type: 
Full-time
Contract
Compensation: 
70k
Location: 
Fort Lauderdale, FL

Global Satellite Engineering is an equal opportunity employer.

We participate in E-Verify for all employees: This Employer will provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Employers may not use e-Verify to pre-screen job applicants and may not limit or influence the choice of documents presented for use on the Form I-9.