About Us
Founded in 2007, Biz2Credit is rated as the Number 1 small business financing resource in the U.S. byEntrepreneur 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 fastapproval process. Explore the best small business financing options with us!Biz2Credit offers an innovative way for lenders and small business borrowers to connect through ouronline credit marketplace. Our robust network includes more than 1,200 lenders and tens ofthousands 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 forsmall businesses. Now, traditional banks are leveraging our expertise and experience to automatesmall business lending. Biz2X allows banks to implement AI - powered digital banking. This allowsbanks clients to have a fully omnichannel experience with data and workflows that adapt seamlesslyto 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, optimizesrisk management, and improves operational efficiency.Learn More : www.biz2credit.com & www.biz2x.comRead 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.htmlhttps://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 shapingBiz2Credit's future. We're looking for an exceptional candidate that is excited about the opportunity tobuild a next - generation financial services business. We believe th at there is a tremendous opportunityto 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 ourengineering team to develop our analytics infrastructure, and collaborate closely with our Chief RiskOfficer 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 tacklingcomplex data challenges for the benefit of small and medium businesses everywhere.Job Responsibility: -Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricingmodel - optimizing risk and return while dramatically reducing decision cycle times.Continuously evaluate alternative data sources and structures to document and improve theefficacy of our customer conversion models and processes.Harness the power of Biz2Credit's technology to proactively identify emerging risks as well asopportunities with our customers.Play a key role in the design and implementation of ongoing operational and risk reporting andanalytics.Work on data projects and proposals involving Biz2Credit's financial services partnersworldwide (banks, non - banks, debt investors, equity investors and others) to analyze , classifyand visualize credit - related dataPerform ad hoc analys e s on customer, business, and portfolio trends to generate actionableinsights for internal and external stakeholdersManage multiple projects and priorities while delivering accurate & timely results in a fast -paced environmentRequirements
Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitativefields from leading university; Advanced degree preferred4 - 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, Diffusionmodels) .Experience with prompt engineering , fine - tuning , RAG (Retrieval - Augmented Generation) , ormodel 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.