Description
TDI Technologies, Inc. is seeking candidates for a Data Scientist Internship position. The position’s main responsibility will be to gather, format, and analyze information from Navy Hull, Mechanical, and Electrical (HM&E) systems. The position will require knowledge of machine learning methods and modeling development and training. Candidates should be comfortable working within an engineering team, designing new software solutions, and interfacing with customers.
PRINCIPAL DUTIES/RESPONSIBILITIES:
1. Develop code and test modeling approaches for shipboard systems using real and simulated shipboard sensor and status data from control systems.
2. Incorporate algorithms and model designs into software solutions and pipelines that solve our customer’s data analytics challenges.
3. Prototype and demonstrate TDI Technologies’ data science capabilities to prospective customers.
Requirements
EDUCATION AND EXPERIENCE REQUIREMENTS:
1. Graduate Degree in data science, computer science or an engineering discipline from an accredited college or university.
2. 0-2 years of experience in an engineering, software development, or data science role
SPECIAL REQUIREMENTS:
1. Successful applicants must either have an active government security clearance or the ability to receive approval upon position acceptance.
2. Must have a valid US passport OR the ability to obtain one upon position acceptance.
SKILLS AND ABILITIES:
Essential Skills:
1. Software development in Python
2. Working knowledge of machine learning and/or artificial intelligence frameworks such as scikit-learn, Pandas, and NumPy
3. Knowledge or some experience with at least one of the following problem types: Time-series classification, regression analysis, optimization, clustering
4. Some software development experience and operation within Linux and Windows based systems
5. Knowledge of version control tools such as SubVersion or Git
6. Strong technical writing skills and attention to detail for documentation
7. Willingness to convey technical problems and solutions to a variety of team members
Additional Preferred Skills:
1. Experience identifying trends and problems through data analysis.
2. Supporting efforts to combine analysis from multiple data sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently.
3. Experience supporting scalable process solutions prepared with big data, data driven Machine Learning tools such as TensorFlow, scikit-learn, Pandas, and NumPy, Natural Language Processing, and implementing data models and developing data sources to support organizational solutions.
4. Working knowledge of fundamental concepts, practices, and procedures of naval shipboard Hull, Mechanical, and Electrical systems preferred.
5. Knowledge or experience with development and deployment of Docker containers
6. Knowledge or experience with orchestration using Kubernetes
7. Knowledge or experience with DevOps tools and practices
8. Knowledge or experience with Amazon Web Services (AWS)
9. Knowledge or experience with rotating machinery, industrial automation and controls, or vibrations analysis
Travel:
This position may require up to approximately 5-10% travel.
Location: Philadelphia, PA. This position will allow for some remote work but will also require attendance to in-person meetings at the Philadelphia Navy Yard offices as well as at government development and lab facilities.
Equal Employment Opportunity Policy:
TDI Technologies, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layout, recall, transfer, leaves of absence, compensation and training.
#LI-DNI
Lead data science initiatives at Palo Alto Networks, developing ML models and advancing AI systems to drive key business decisions in a cybersecurity leader.
Lead model risk management for critical capital and economic models at American Express, driving innovation and regulatory excellence within a dynamic team.
Lead the Applied AI/ML team as Vice President to drive innovation and develop high-quality machine learning models in a collaborative data science environment.
Innovate as a Scientific Data Architect at TetraScience, pioneering AI-driven scientific data solutions in collaboration with cross-functional teams and customers.
Analytics professionals passionate about pricing and data-driven solutions are invited to join SIXT as Quantitative Analysts to optimize revenue management in a hybrid work setting.
Lead Pinterest’s Marketing Data Science function to develop high-impact models and deliver strategic insights that optimize marketing ROI and drive business growth.
Contribute to Microsoft's cutting-edge AI by developing personalized Copilot memory systems as a Data Scientist based in Mountain View, CA.
Lead the development of robust physiological machine learning models at Oura, empowering millions with actionable health insights in a remote US position.
Lead data science efforts to optimize and innovate Tennis Channel’s direct-to-consumer streaming platform, impacting millions of global tennis fans.
Upstart seeks a Senior Research/Data Scientist for its Growth team to develop ML-driven marketing models and optimize borrower targeting in a remote-first environment.
Lead model risk management initiatives at American Express, focusing on capital planning and regulatory compliance within a dynamic and innovative environment.
Lead data science initiatives to transform the direct-to-consumer tennis streaming experience and drive subscriber growth at Tennis Channel.
An experienced data scientist specializing in biostatistics is sought to help drive innovations in brain health research using advanced EEG data at Beacon Biosignals.
Founded in 1988, TDI fulfilled a need for the rapid delivery of high-quality technical documentation for the Naval Air Systems Command (NAVAIR). Our responsibilities expanded to Space and Naval Warfare Systems Command (SPAWAR). In 1993, we began...
1 jobsSubscribe to Rise newsletter