Intern, Data Science

Intern, Data Science

LOCATION: Melbourne/Florida (US-FL),United States |
BRAND: KB Signaling |
REQUISITION : 10076 |
JOB GRADE: 0

ON-SITE/REMOTE: On-site

KB Signaling Inc. is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

As a Data Scientist Intern, you will help to solve real‑world business problems as a member of the Data Science team, including data identification and design to analytic approach and delivery.

• Use advanced statistics, data mining, machine learning, and deep learning techniques to deliver data‑driven insights for the railroad industry
• Transform raw data into meaningful features for model building
• Design and implement machine learning algorithms, including regression, classification, and clustering to build predictive models
• Assess the accuracy and performance of models using appropriate metrics
• Work with stakeholders to understand challenges and create solutions, and identify opportunities
• Produce a range of data-driven visualizations (dashboards, reports, presentations) and provide insights relative to created data science products
• Process, cleanse, and verify the integrity of data used for analysis
• Work with software developers and architects to help operationalize models into production
• In conjunction with data owners and department managers, develop data models and protocols for solutions that provide advanced, meaningful, and actionable business insights
• Communicate project progress, requirements, and risks to the program managers, engineering team, stakeholders, and engineering leaders

• Technical expertise with proven predictive modeling and machine learning skills
• Knowledge of advanced statistical learning techniques and experience with applications
• Strong understanding of statistical concepts and hypothesis testing
• Experience working with complex data using advanced analytics techniques and software technologies to deliver and interpret valuable insights
• Experience using Python and/or R
• Experience using standard libraries, such as scikit-learn, Tensor Flow, Spark ML
• Strong SQL coding skills and the ability to manipulate data and draw insights from large datasets
• Solid analytical approach to problem solving
• Excellent written and verbal communication skills
• Clear and concise presentation of complex data insights to non‑technical audiences

Mandatory:

• Pursuing a Bachelor’s or Master’s degree in a highly quantitative field such as Applied Mathematics, Statistics, Computer Science, Bioinformatics, Operations Research, or Econometrics.