Sr. Data Scientist

About the Role

Are you a passionate and talented Data Scientist looking for an opportunity to make a real impact? Join our innovative team and work on cutting-edge AI/ML applications that are revolutionizing industries such as fleet & EV, Health Benefits, and Corporate Payments. In this high-impact role, you will leverage your expertise in data science and AI to develop solutions that tackle complex, real-world problems for both internal and external customers. If you thrive in a dynamic environment, enjoy pushing the boundaries of what's possible with AI and machine learning, and want to be part of a mission-driven organization, we would love to hear from you.

How You'll Make an Impact

• Lead the development and implementation of AI/ML models and algorithms to drive innovation across various industries, including transportation (Fleet, trucking & EV), Health Benefits, Travel and Corporate Payments

• Collaborate with cross-functional teams to identify and prioritize high-impact use cases for AI/ML applications. 

• Drive rapid prototyping efforts, focusing on learning from experiments, iterating on solutions, in order to understand what the right solutions are

• Demonstrate innovative and creative thinking to develop novel AI/ML approaches and solutions to accelerate company growth

• Work closely with business stakeholders to understand their problem statement and ensure solutions meet their needs. 

• Develop and implement solutions leveraging a variety of ML algorithms, ensuring the solution is appropriate for the problem  

• Conduct in-depth data analysis and feature engineering to extract valuable insights and improve model performance

• Partner with our AI platform team to Design, develop, and deploy scalable and robust AI/ML solutions to solve complex business problems and improve operational efficiency

• Continuously monitor and optimize AI/ML models to ensure their accuracy, reliability, and performance in production environments

• Stay up-to-date with the latest advancements in AI/ML technologies and apply them to drive innovation and maintain a competitive edge

• Mentor and guide junior data scientists and foster a culture of continuous learning and knowledge sharing within the team

Experience You'll Bring:

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field (we will consider exceptional candidates without advanced degrees)

• 5+ years of hands-on experience in developing and deploying AI/ML models in a production environment

• Strong expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling techniques

• Proficient in programming languages such as Python, R, and SQL for data manipulation and analysis

• Experience with big data technologies (e.g., Snowflake, Google BigQuery) and cloud computing platforms (e.g., AWS, GCP, Azure)

• Excellent problem-solving skills and ability to think creatively to develop innovative AI/ML solutions

• Strong communication and collaboration skills to effectively work with cross-functional teams and stakeholders. 

• Able to independently lead a complex ML project through its complete lifecycle

• Proven track record of delivering high-impact AI/ML projects in a fast-paced and dynamic environment

• Demonstrated ability to persevere and iterate through solutions in the face of technical challenges and setbacks

• Hands-on experience in building solutions leveraging the latest machine learning capabilities 

What We Offer:

• A dynamic, innovative, and collaborative work environment that fosters creativity and encourages out-of-the-box thinking

• Opportunity to work on cutting-edge AI/ML projects that have a significant impact on various industries, including fleet & EV, Health Benefits, and Corporate Payments

• Access to state-of-the-art technology, tools, and resources to support your work and professional development

• Mentorship from experienced AI/ML professionals who are leaders in their field and dedicated to helping you grow and succeed

• Collaborative opportunities with cross-functional teams, allowing you