Data Scientist

Bizbe Inc is an innovative AI-native M&A firm and business brokerage dedicated to small and medium-sized businesses. Our mission is to make small business ownership more accessible because we believe that owning a business is the truest path to building lasting wealth. At Bizbe, we combine cutting-edge AI infrastructure with the traditional, relationship-driven process of brokering deals, enabling business owners to exit on their terms while facilitating the next generation of operators to step into ownership.

We are an early-stage, ambitious company focused on creating the platform and services we always wished existed in the industry. As a Data Scientist at Bizbe Inc, you will be instrumental in leveraging data to drive decision-making and enhance our AI-driven platform. You will work closely with cross-functional teams to analyze complex datasets, build predictive models, and generate actionable insights that support business growth and client success.

This role offers a unique opportunity to apply your data science expertise in a fast-paced, innovative environment focused on transforming the business brokerage industry.

Responsibilities

Collect, process, and analyze large datasets to uncover trends and patterns relevant to business brokerage and M&A transactions. Develop and deploy machine learning models and algorithms to improve platform capabilities and client matchmaking. Collaborate with engineering and product teams to integrate data-driven solutions into the Bizbe platform.

Design experiments and A/B tests to evaluate the impact of new features and strategies. Communicate findings and insights effectively to technical and non-technical stakeholders. Stay up-to-date with the latest developments in data science, machine learning, and AI technologies.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist, preferably in technology-driven or AI-focused companies. Strong proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.

g., pandas, Num. Py). Experience with machine learning frameworks and tools (e.g., scikit-learn, Tensor. Flow, Py. Torch). Ability to translate complex data into clear insights and actionable recommendations. Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Benefits

Private Health Insurance Paid Time Off