Senior Data Scientist

PURPOSE OF THE POSITION

The Senior Data Scientist designs and implements state-of-the-art deep neural networks to solve challenging problems in the railroad industry using machine learning, deep learning, and data modeling.

CORE FUNCTIONS OF THE POSITION/CRITICAL ELEMENTS

Team Leadership & Collaboration (30%)

• Demonstrated ability to foster a collaborative team environment by mentoring peers, sharing knowledge generously, and contributing to the team's collective success.
• Drives alignment, supports teammates, and helps raise the overall technical and analytical capabilities of the group.
• Comfortable with ambiguity and can pivot approaches as priorities or data constraints change.
• Understands the broader economic and financial context of the business, aligning data science initiatives with cost efficiency, revenue impact, and strategic ROI.
• Provides technical leadership in the selection, scoping, and execution of AI projects
• Maintains a good working knowledge of the offerings of major AI vendors
• Assess the technical feasibility and optimization of AI to achieve commercial viability for both cost and performance of algorithms

Model Development, Analysis, and Strategy (60%)

• Leads and drives the architecting and coding of AI algorithms, Machine Learning architectures delivered on an AI platform, including training, evaluation, and management of AI models.
• Creates models to solve unique problems using state-of-the-art AI technologies. Use agile and incremental approaches to provide solutions for complex business problems.
• Experience in building and optimizing vision and data-based AI models on the edge.
• Communicate results and ideas to key decision-makers in a way that can be easily understood by business counterparts.
• Develop and productionize working prototypes, proof of concepts, algorithms, predictive models, and custom analysis.
• Collaborate with product management, solution architects, and other departments to understand company needs and devise possible solutions.
• Work with the Data Engineer to develop strategies around data cleaning, data structure, and data tagging.

Research, Development, Learning (10%)

• Keep up to date with the latest technological trends and share knowledge with junior team members regularly.
• Determine new innovative ways to improve data and search quality, and predictive capabilities.

POSITION QUALIFICATIONS/REQUIREMENTS

• MS or Ph.D. in Computer Science, Mathematics, or Statistics with related experience
• 5+ years of experience in developing custom models and using any deep learning frameworks.

• Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, optimize deep neural networks to run efficiently on an edge device.

• Proficiency in computer vision, image/video/signal processing, machine learning, major modeling environments, TensorFlow, PyTorch, ONNX, and TensorRT.
• Familiarity with multiple model concepts, VLM, and agentic architecture, and using synthetic images for training.
• Very comfortable in cluster environments (AWS, Google Cloud) and understands the related computer systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, pipelining/multiprocessing, etc.).
• Work with other data scientists in developing new and improved AI solutions and work effectively with data engineers to build robust data pipelines.
• Play an analytical role in researching, designing, implementing, and deploying full-stack scalable AI production solutions to challenge various business issues.
• Python programming, other languages, C#, and C++, preferred.
• SQL scripting and database knowledge

PHYSICAL DEMANDS AND WORKING CONDITIONS

• Working conditions as found in a typical office or a remote office location
• Required to be in the office as per company policy
  • Mondays & Fridays are remote days.  Tuesdays, Wednesdays, and Thursdays are required in office days.  

This position's anticipated base salary range is $148,000 to $176,600 annually. Final compensation will be based on experience, qualifications, and location.

Wi-Tronix is proud to be an Equal Opportunity, Affirmative Action, E-Verify, and Drug-Free Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. If you need reasonable accommodation for any part of the application process due to disability, please inform us at michele.hughes@wi-tronix.com so that we can discuss the appropriate alternatives available. Wi-Tronix does not review unsolicited resumes from recruiters or search firms.