Associate Data Scientist

About the role

Finance leaders choose Billtrust to get paid faster, control costs, and maximize customer satisfaction. As the leader in B2B accounts receivable workflow and payment software, we provide the world's leading brands with AI-powered solutions across the full AR lifecycle-from invoice presentment and payment processing to cash application and collections. With over 2,600 global customers, more than $1 trillion in invoice dollars processed, and a proprietary network of 13 million buyers, Billtrust delivers business value through deep industry expertise and a culture relentlessly focused on meaningful customer outcomes. We're an AI-first company, not just in what we build for our customers, but in how we work. Across every function, our teams use AI tools daily to work faster, make better decisions, and deliver higher-quality outcomes. We hire exceptional people, give them cutting-edge AI capabilities, and measure success by the impact they create. If you want to do the best work of your career at the frontier of AI and fintech, Billtrust is the place to do it. Our Values Customers We relentlessly increase value for customer and do the right thing for them. Action We make 'thoughtfully fast' decisions, act quickly, cut through red tape, deliver progress not perfection, take ownership and accountability. Team Spirit We put the team ahead of ourselves, foster trust and respect, collaborate with passion, despise toxic politics, value our differences, and celebrate together. Innovation We challenge the status quo, experiment thoughtfully, and are novel and brilliant in what we create. Excellence We love to win, but we hate losing even more. We aspire to be the best and take pride in our work. When we fall short, we own it and come back stronger. We're looking for an Associate Data Scientist to help turn complex data into clear, actionable business decisions. You'll develop predictive models using statistical and machine learning techniques, analyze large datasets to surface meaningful patterns, and partner with cross-functional teams to design data-driven solutions. You'll communicate findings through clear visualizations and reports, stay current on emerging data science techniques, and help bring your work to life through web interfaces and API deployments. This is a great opportunity for someone early in their data science career looking to build hands-on experience across the full lifecycle, from modeling to deployment.

Responsibilities

• Develop predictive models using statistical and deep machine learning algorithms to solve business problems
• Analyze large and somewhat complex data sets to identify patterns and insights that drive key business decisions
• Collaborate with cross-functional teams to design data-driven solutions that meet business objectives
• Communicate results and insights to stakeholders through visualizations and reports that are easy to understand
• Review the latest developments in data science and machine learning techniques, and continuously improve the organization's analytical capabilities
• Identify opportunities to use data to develop new strategies and improve business performance
• Present workload in a tangible manner, such as through web interface and API Gateway
• Telecommuting from anywhere in the U.S. is permitted.

Requirements

• Required
• Bachelor's degree in Computer Science or a related field and 1 year of experience in the job offered or any related occupation.
• 1 year experience with statistical analysis and predictive modeling.
• 1 year experience with model deployment in production using different tools and methods including Docker, Docker Compose, FastAPI, Flask, Gunicorn.
• 1 year experience with big data and database, including SQL and NoSQL. Experience may have been gained concurrently.
• The expected base salary range for this position is $105,000 - $120,00 annually.
• What You'll Get
• At Billtrust, we value an equitable and inclusive work environment and strive to build and foster diverse teams. Even if your work experience doesn't align exactly with the position requirements, we'd still love to hear from you. You may just be the right candidate for this or other roles.
• We are committed to building a team th

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