Manager Data Science Full-Time Job Vacancy in KhataBook Bengaluru, Karnataka – Updated today

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Full Details :
Company Name :
KhataBook
Location : Bengaluru, Karnataka
Position :

Job Description : Role Overview:

We, at KhataBook, are looking to hire a seasoned leader who has experience in executing Data Science projects and bringing them to production to solve complex business problems. Passionate about using data to predict trends and aid in the decision making process. Hands on with leading teams and technical contributions.

Who we are and what we do…
India has ~60 million Micro, Small and Medium Enterprises (MSMEs) who contribute to 30% of the Indian GDP
MSMEs have largely remained underserved from a digitization, financial services and commerce standpoint presenting a huge opportunity
We are building an end-to-end Software, Financial Services and Commerce ecosystem for the Indian MSMEs
We currently serve ~9 million monthly active merchants who record transactions worth ~$25 Billion (Annualized $300Bn) on a monthly basis within the Khatabook Ecosystem

Why work with Khatabook?

Opportunity:

Where else would you get to work on SaaS, FinTech AND e-commerce?
Each of which could be multi-billion-dollar business lines independently
Millions of businesses use our software – Khatabook & BizAnalyst – to run their setup efficiently & grow their income
We’ve built a layer of financial services & are currently focused on solving working capital issues for our businesses through lending & automated payments collection
We’re also kickstarting our first pilot in e-commerce to help suppliers take orders online from their buyers

Funding & Wealth Creation:

We’ve raised over $180M as of Series C round valued at $600M & backed by top investors like Sequoia, DST, GGV, B Capital, Tencent,Tribe Capital, Unilever Ventures, Alkeon Capital & many others who believe we’re building something big
We’ve grown fast & aggregated millions of businesses but are still early enough to have the potential to grow 10-20x over the next 2-4 years
We believe in sharing wealth creation with all our employees & disproportionately so for our top performers. We’ve already had ESOPs buyback worth $10M and pay top of the market compensation

People & Culture:

You’ll get to work with some of the best minds in the country and ex- founders of some well-known startups
We’re committed to scaling our company the right way & making sure we build an environment for our team to do the best work of their lives.
Our employee NPS of 50+ reflects that focus & we continuously strive to improve this
If you ever want to start your own company or accelerate your career growth, there isn’t a better crash course out there

About the Role / Responsibilities:

Collaborate with business stakeholders to identify and solve business problems using AL/ML/Data Analytics with clearly defined metrics to measure success.
Build a small but highly skilled and focused team to solve data driven problems.
Own research and prototyping of solutions; data and requirements gathering; solution scoping and architecture; development, deployment, and maintenance of solutions.
Provide timelines and own end to end delivery of projects.
Prioritize to manage ad-hoc requests in parallel with ongoing projects.
The role is 50% technical (involves coding and implementation of solutions and models) and 50% delivery management of projects including external stakeholder management.
Deliver AI/ML/Data Analytics based solutions around a range of domains and problems, with some of them being: Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization, Learner profiling and clustering.

Desired Experience / Background:

A highly talented technical leader with 8 – 10 years of hands-on experience in building AI/ML and data analytics applications from exploration to production
2+ years of experience in a responsible senior or team lead role managing a team of data scientists and engineers who develop, deploy, and maintain robust machine learning models
Strong knowledge of Python, databases (SQL and NoSQL) , advanced analytics/statistical techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian, tree-based learners, SVM, RF, XGBOOST, etc. Hands-on coding experience will be required to code regularly.
Experience in deep learning techniques and has worked with TensorFlow, PyTorch, OCR and computer vision.Basic NLU/NLP experience is preferred
Experience building scalable solutions, feedback loops for model evolution, and end to end automation of model generation and deployment
Experience with presenting complex data science processes/information to non-data scientists
Basic knowledge of software architecture design, docker, and microservices concepts
Basic knowledge of cloud computing and AWS services
B.Tech/M.Tech/MCA (IT/Computer Science)

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