C2FO - Senior Data Scientist

Do you want to help transform the global economy? Are you passionate about helping women-owned and minority-owned businesses thrive? C2FO is doing just that, having built the world's largest working capital platform that serves over 1.7 million businesses in 160 countries. We're laser focused on building a world where every business - including and especially those that have been most underserved - has the capital it needs to grow and thrive.

About C2FO

Headquartered in Kansas City, C2FO has more than 800 employees worldwide with operations throughout Europe, India, Asia Pacific, and Australia. We are a global fintech company invested in ensuring businesses have the capital they need to grow. How do we do this? The C2FO platform provides an easy, low-cost way for businesses of all sizes to increase cash flow by receiving early invoice payments from their customers. Through C2FO's solutions and products, businesses worldwide have created jobs, developed new products, and grown by putting working capital where it belongs - in their hands.

About the Data and Decision Science team:

The Data & Decision Science (D&DS) team is the most fluid and dynamic team at C2FO. At any given time, the department members contribute to multiple projects. It consists of the Data Engineering, Data Science and Analytics, Data Operations, and Business Intelligence teams.

At C2FO, we believe that data is the lifeblood of our company. The D&DS team is responsible for C2FO's end-to-end data solutions, focusing on data architectures, data science and machine learning, business intelligence and analytics, and overall data strategy.

Empowered by the flexibility of cloud-based hosted computing, and spread across India and the US, collectively, these teams are responsible for leveraging both internal and external data that helps C2FO innovate, experiment, take data-backed decisions, and solve complex business problems such as customer acquisition and retention.

About the role:

As a Senior Data Scientist at C2FO, you will analyze, model, implement, and automate scalable solutions for our customers. You will have the opportunity to embed your creativity as our opportunity areas range from traditional ML to leveraging the LLMs to solve customer acquisition, nurture, and retention challenges. Successful candidates will be a part of a talented team that's disrupting working capital around the world.

Senior Data Scientists are adaptable problem solvers who show a strong end-to-end ownership of their projects. They are astute and pragmatic - they have a solid ability to build MVP solutions and iterate quickly on complex business problems. They have a strong hustler attitude; when they meet a roadblock, they can identify individuals or teams who may help them and then reach out to those resources without prompting.

Essential Duties:

- Exploit various ML techniques to build models for various business problems such as dynamic discounting modeling, lifetime value prediction, information retrieval, forecasting, credit scoring, churn prediction, etc

- Analyze, extract, and optimize relevant information from large amounts of data and deliver insightful analysis that will drive business decisions on product features and operational efficiency

- Establish scalable, efficient processes for data analyses, model development, validation, and experimentation

- Work with cross-functional teams to understand business opportunities and turn research into products

- Partner with Data Engineering and Data Governance teams to put together a data validation framework and establish processes that ensure data quality and integrity requirements are met.

Basic Qualifications:

- 5+ years of relevant work experience; nice to have: prior experience working in finance

- Solid grasp of mathematics and machine learning concepts (i.e., optimization functions, linear algebra, etc.)

- Knowledgeable of relevant literature around applications for machine learning and deep learning

- Hands-on experience in building machine learning solutions from conceptualization to implementation; experience deploying models in a production environment

- Strong knowledge of supervised (classification, regression) and unsupervised techniques (clustering, dimensionality reduction)

- Experience with experimentation and hypothesis testing

- Proficient in Python; any additional programming language is a big plus

- Fluency in data manipulation (SQL, Pandas)

- Experience with machine learning tools such as scikit-learn, XGBoost, Pytorch

- Strong problem-solving, critical thinking, and communication skills

- Innate curiosity: a repeated pattern of asking and understanding the "why" behind the data.

Commitment to Diversity and Inclusion. As an Equal Opportunity Employer, we not only value diversity and equality, but we also empower our team members to bring their authentic selves to work every day. Our goal is to create a workplace that reflects the communities we serve and our global, multicultural clients. We recognize the power of inclusion, emphasizing that each team member was chosen for their unique ability to contribute to the overall success of our mission.-

We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment decisions are based on qualifications, merit, and business needs.