Senior Data Scientist

About Us

Founded in 2007, Biz2Credit is rated as the Number 1 small business financing resource in the U.S. by

Entrepreneur Magazine. Till date, we've facilitated more than $2.5+ billion in small business lending.

Biz2Credit, an all - in - one financing solution for entrepreneurs to get a small business loan with fast

approval process. Explore the best small business financing options with us!

Biz2Credit offers an innovative way for lenders and small business borrowers to connect through our

online credit marketplace. Our robust network includes more than 1,200 lenders and tens of

thousands of small businesses who connect to the network through partnerships with Paychex, Start -

up America, CPA's, business brokers and other referral partners.

Biz2X is the technology platform that has helped Biz2Credit become the premier alternative lender for

small businesses. Now, traditional banks are leveraging our expertise and experience to automate

small business lending. Biz2X allows banks to implement AI - powered digital banking. This allows

banks clients to have a fully omnichannel experience with data and workflows that adapt seamlessly

to the banks core banking systems.

Biz2X platforms world - class risk solutions are based on AI algorithms that enables auto decision -

making and quick processing. Biz2X is One Platform That Does It All - automates lending, optimizes

risk management, and improves operational efficiency.

Learn More : www.biz2credit.com & www.biz2x.com

Read About Us

https://www.globenewswire.com/en/news - release/2023/04/25/2653660/0/en/Financial - Times -

Names - Biz2Credit - and - Biz2X - to - its - Americas - Fastest - Growing - Companies - of - 2023 - List.html

https://inc42.com/buzz/biz2credit - announces - esops - worth - 12 - 25 - mn - for - 500 - indian - employees/

About The Role

This is a rare opportunity to join a fast - growing team, where you will play a major role in shaping

Biz2Credit's future. We're looking for an exceptional candidate that is excited about the opportunity to

build a next - generation financial services business. We believe th at there is a tremendous opportunity

to leverage cutting - edge data science to inform smarter, faster decision making.

As a Biz2 x Data Scientist, you will shape the company's data - centric culture, work closely with our

engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk

Officer on developing, validating, and automating our customer conversion and underwriting models.

While a background in financial services is not required, you must be passionate about tackling

complex data challenges for the benefit of small and medium businesses everywhere.

Job Responsibility: -

Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing

model - optimizing risk and return while dramatically reducing decision cycle times.

Continuously evaluate alternative data sources and structures to document and improve the

efficacy of our customer conversion models and processes.

Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as

opportunities with our customers.

Play a key role in the design and implementation of ongoing operational and risk reporting and

analytics.

Work on data projects and proposals involving Biz2Credit's financial services partners

worldwide (banks, non - banks, debt investors, equity investors and others) to analyze , classify

and visualize credit - related data

Perform ad hoc analys e s on customer, business, and portfolio trends to generate actionable

insights for internal and external stakeholders

Manage multiple projects and priorities while delivering accurate & timely results in a fast -

paced environment

Requirements

Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative

fields from leading university; Advanced degree preferred

4 - 6 years of experience in applied data science or machine learning roles.

Hands - on experience with LLMs and GenAI applications .

Expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit - learn .

Strong experience in deep learning , NLP , and generative models (e.g., VAEs, GANs, Diffusion

models) .

Experience with prompt engineering , fine - tuning , RAG (Retrieval - Augmented Generation) , or

model distillation .

Proficiency in SQL, data wrangling, and working with large datasets.

Familiarity with MLOps tools (e.g., MLflow, Airflow, Kubeflow) and cloud platforms

(AWS/GCP/Azure).

Preferred Qualifications

Published work in ML/AI journals or major conferences (NeurIPS, ICML, ACL, CVPR, etc.).

Experience building and deploying LLM - powered applications in production.

Background in reinforcement learning , time series forecasting , or causal inference .

Understanding data privacy, model fairness, and ethical AI considerations.