Do you have experience in numerical analysis tools and languages and also a working knowledge of data engineer concepts management?

Are you someone who believes in being an integral partner of a team who is enabling rail safety for freight, transit, and industrial customers?

If you are then STOP and look NO further!

LB Foster is looking for an Applied Data Scientist located in Dublin, OH. And we want to talk to YOU.

Who You Are...

Employ statistical analysis, advanced machine learning techniques, and uses engineering principles and experience to inform and develop descriptive, diagnostic, and predictive analytics and algorithms based on large time-series data collected by various railroad wayside detectors. 

This Position...

Is broadly responsible for all aspects of the data life cycle with a strong emphasis on feature engineering, model development, validation and productization.

Some examples of the work you might do include...

• Collaborate with engineering teammates to define data collection methods and specifications.


• Prepare large datasets for analysis through data cleaning and manipulation.


• Design and develop end-to-end analytical pipelines, encompassing everything from foundational engineering principles, hardware integration, and algorithm development to validation, deployment, and ongoing optimization in production environments.


• Perform statistical analysis and machine learning to enhance system accuracy, improve defect detection, and predict defects.


• Generate insightful reports and visualizations to demonstrate analysis results.


• Consult with Software Engineers to design or improve algorithms used in embedded products.


• Collaborate with product managers to align data-driven insights with product development strategies, ensuring data models and analytics solutions meet business objectives and enhance user experiences.

What Do You Need?

• Bachelor’s degree in Engineering, Computer Science, Data Science, or Applied Mathematics required.


• Master’s Degree in related field preferred


• 6+ years of experience in Data Science required


• 3-5 years of additional experience in engineering preferred


• Proficiency in at least one ML framework (PyTorch, TensorFlow, Theano, etc.)


• Proficiency in numerical analysis tools/languages (MATLAB or R) and/or proficiency in Python and related data analysis libraries (NumPy, SciPy, etc.)


• Working knowledge of SQL


• Working knowledge of data engineering concepts


• Familiarity with the physics of dynamic motion and mechanical systems


• Familiarity with inertial sensors (force, acceleration, tilt, etc.)


• Familiarity with Linux commands and navigation


• Strong verbal and written communication skills

Benefits

• Medical, dental, vision benefits the first day of the month after hire


• Market-leading 401(k) program with company match


• 100% tuition reimbursement 


• Career development and advancement opportunities


• Flexible work environment

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

See job description