About Us

Founded in 2007, Biz2Credit is rated as the No. 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 that 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 bank’s clients to have a fully omnichannel experience with data and workflows that adapt seamlessly to the bank’s core banking systems.

Biz2X platform’s world-class risk solutions are based on AI algorithms that enable auto-decision-making and quick processing. Biz2X is “One Platform That Does It All"—it 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/

Role – Senior Manager Data Science

If working with billions of events, petabytes of data, and optimizing for the last millisecond is something that excites you then read on! We are looking for a Senior Manager Data Science who has seen their fair share of messy data sets and has been able to structure them for further fraud detection and prevention, anomaly detection and other AI products.

You will be working on writing frameworks for real-time and batch pipelines to ingest and transform events from 100’s of applications every day. These events will be consumed by both machines and people. You will also help optimize the feature pipelines for fast execution and work with software engineers to build event-driven microservices.

You will get to put cutting-edge tech in production and the freedom to experiment with new frameworks, try new ways to optimize, and resources to build the next big thing in fintech using data!

Responsibilities:

Work directly with the Platform Engineering Team to create reusable experimental and production data pipelines and centralize the data store.
Unbox, deep dive, understand, tune, and master the frameworks and technologies used day-to-day.
Adopt problem-solving as a way of life – always go to the root cause.
Keep the data whole, safe, and flowing with expertise on high-volume data ingest and streaming platforms (like Spark Streaming, Kafka, etc).
Make the data available for online and offline consumption by machines and humans.
Maintain and optimize underlying storage systems to perform according to the set SLAs.
Sheppard and shape the data by developing efficient structures and schema for the data in storage and transit.
Explore new technology options for data processing, storage, and share them with the team.
Develop tools and contribute to open source wherever possible.

Qualifications:

Degree in Computer Science, Engineering, or a related field
Proficient in Spark/Scala/Python/Java.
You are passionate about producing clean, maintainable, and testable code as part of a real-time data pipeline.
You have worked with Spark and Kafka before and have experimented with or heard about Spark Streaming/Kafka Streams/Flink and understand when to use one over the other.
You have experience implementing offline and online data processing flows and understand how to choose and optimize underlying storage technologies. You have worked or experimented with NoSQL databases such as Cassandra.
You can connect different services and processes together even if you have not worked with them before and follow the flow of data through various pipelines to debug data issues.
You have previously worked on building serious data pipelines ingesting and transforming > 10 ^6 events per minute and terabytes of data per day.
On a bad day, maintaining and bringing up a cluster doesn’t bother you.
You may not be a computer network expert, but you understand issues with ingesting data from applications in multiple data centers across geographies, on-premises, and cloud, and will find a way to solve them.

Leadership and Stakeholder Management:

Strong interpersonal skills to build credibility with team members and leaders across the function as well as the organization.
Team-oriented, collaborative, and flexible, with proven ability to build strong working relationships with internal and external partners. Self-starter who can responsibly own and advance work, take well-informed decisions, most efficiently.
Collaborate with Data engineers, Data scientists and various groups within the organization to identify areas of improvement, bottlenecks and build automation and re-usable frameworks/processes.
Participate in the hiring process to build the team and create seamless onboarding experience for the new team members and continuously support, drive career conversations and mentor the team members.

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