Karza Technologies_Data Scientist

At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered
in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.

A few recognitions:
• Recognized as Top25 startups in India to work with 2019 by LinkedIn
• Winner of HDFC Bank's Digital Innovation Summit 2020
• Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
• Winner of Amazon AI Award 2019 for Fintech
• Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
• Winner of FinShare 2018 challenge held by ShareKhan
• Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
• 2nd place Citi India FinTech Challenge 2018 by Citibank
• Top 3 in Viacom18's Startup Engagement Programme VStEP

What your average day would look like:
• Identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
• Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and Interpret data with a clear objective in mind
• Implement analytical models into production by collaborating with software developers and machine learning engineers
• Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

What you need to work with us:
• Solid understanding of data structures, algorithms, and first principles of mathematics.
• Should be proficient in Python and have worked on at least one of the popular Deep learning frameworks (Tensorflow, Keras etc.).
• Applied deep learning experience with CV, NLP, or fraud analytics on real datasets.
• Should be comfortable in going through open source code and reading research papers.
• Should be curious or thoughtful enough to answer the “WHYs” pertaining to the most cherished observations, thumb rules, ideas across the data science community.

Qualification and Experience Required:
• 1 - 4 years of relevant experience
• Bachelor/ Master’s degree in computer science / Computer Engineering / Information Technology