Data Scientist - Machine Learning Model (3-5 yrs)

About Us :

Yubi stands for ubiquitous.

But Yubi will also stand for transparency, collaboration, and the power of possibility.

From being a disruptor in India's debt market to marching towards global corporate markets from one product to one holistic product suite with seven products.

Role : Senior Data Scientist.

Experience: 3 to 5 years.

About Company :

Spocto ( https://spocto.com/ ), a Yubi Company ( https://www.go-yubi.com/ ) , is a big data analytics company on a mission to revolutionise the digital debt collections industry.

Spocto is a fintech company that uses Artificial Intelligence (AI) & Machine Learning (ML) to enhance customer reach, engagement, and interaction; Spocto is a pioneer in disrupting the debt collections industry with intelligence.

With proprietary algorithms we strive to bring dignity into the debt collections process, ensuring better customer experience and resulting in improved customer relation and retention.

Associated with 30+ Banks-NBFCs & processed over 450Mn Transactions.

Our Contactless engagement with the B2B clients has strengthened our relationship with the Top performing banks & NBFCs in India and UAE.

As we continue to grow and disrupt the market through our innovative solutions, we are now part of Yubi India's first and largest institutional debt platform that provides full-stack debt infrastructure across discovery, execution and fulfillment.

In March 2022 Yubi became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million.

Yubi, is backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, Light Speed and Light Rock, and are the only-of-its-kind debt platform globally, revolutionising the segment.

Responsibilities :

- Ability to analyze the data and understand the problem from a data perspective.

- Ability to build structured (classic machine learning models) and unstructured models (NLP, text mining).

- Ability to understand the predictions and accuracy.

- Communicate the same to internal stakeholders with next steps on what can improve the accuracy.

- Work with internal business stakeholders to continuously improve the models.

- Work with the MLOPs team to deploy the model.

- Work with the Data Engineering team to ensure the data pipelines for model training are built in an optimized way.

- Work with the Product Management team to integrate the deployed model with business product.

- Willingness to work and learn in a very fast paced environment.

Skills Required :

- Previous experience in building a campaign recommendation engine.

- This role is for the 2-4 yrs of experience in Python, SQL (Structured relational DBs), Statistics, Machine Learning models, basic NLP and text mining.

- Good to haves AWS services like sagemaker, s3, athena; mlflow; understanding of unstructured DBs like mongo, GenAI.