What You'll Do:

We are building the next generation of Data/Analytics and Machine Learning driven products and features for our B2B portfolio.  We are looking for a Senior Data Scientist who understands and has executed the full Data Science & Machine Learning lifecycle to enable products and services.  You will be able to engage with various functional SMEs to explore concepts, formulate exploratory analyses, develop models, and deploy production-grade ML Ops pipelines. You will have a strong handle on SQL, software engineering, statistical concepts, and Machine Learning tooling and infrastructure.  

• You can engage with various levels of SMEs (both Technical and Functional) to explain findings, build interactive demos/POCs to showcase concepts and take the concept to a production solution/product as ideas mature. 
• Collaborate with a variety of functional SMEs across various internal and external (product) domains to identify, explore and iterate on concepts to determine the feasibility and viability of solutions.  
• Formulate a systematic “funnel” methodology to efficiently iterate concepts via POCs, model benchmarking, data visualization, and explainability via Jupyter Notebooks/Streamlit POCs.  
• Design and Develop middleware/APIs for ML serving
• Model building leveraging the latest techniques (Neural Networks as well as SciKitLearn) 
• Deploy models in a production-grade pipeline with proper monitoring (operational, data drift, etc)
• Interface directly with product teams and SMEs to explore and iterate on funding and determine viability to productize.  Explain findings to a non-technical audience. Strong communication skills are required.  
• As needed, lead other data scientists and team members to drive a highly efficient process with reusable assets to reduce overall time to model.  
• Coordinate with multiple internal and external teams and functions to build highly reusable data and UI/UX assets/components 

What You'll Bring to the Team:

• Bachelor’s Degree preferably in Computer Science, Engineering, or a similar discipline. 
• 5+ years of foundational Data Science and Software Engineering experience supporting production-grade enterprise systems leveraging Python, and SQL.
• 3+ years experience with deep learning frameworks (Pytorch, Tensorflow) and LLM frameworks such as Langchain  
• 1+ years experience with Generative AI multi-modal LLMs for both base foundational use as well as training of LLMs for specific domain-specific use cases
• 5+ years experience with a variety of Modeling techniques (classification, clustering, time series, tabular data, etc).  
• Experience working with cross-functional teams and junior data scientists, working with business stakeholders, and roadmap/project management. 
• Experience with K8s and containerized solutions is a plus.  
• Experience across structured and unstructured databases and data sets as part of data preparation/cleansing for exploratory and model analysis.  
• Familiarity with Docker/Kubernetes, Linux, Git, Jenkins, and modern CI/CD pipelines is a plus
• Experience with Finance/Fintech space a plus

SALARY RANGE BELOW FOR COLORADO BASED APPLICANTS ONLY

Target Base Compensation: $148,000.00 - $185,000.00  (bonus offered in addition to base compensation)

Please note that the compensation information that follows is a good faith estimate for Colorado-based hires only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. Billtrust intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience and location. We encourage you to apply and speak with our Talent Acquisition team to learn more about the total compensation package.