Job Description

Role:

- Solve Challenging and Muddy problems in the Agriculture Space by leveraging the Fundamentals of Data Science and Analytics.

- You need to have a hunger to bring change in the organization by leveraging the power of Data

- Develop Credit and Risk Assessment Models using Machine Learning and Probabilistic Algorithms

- Experience building and designing complex data science solutions

- Design & execute experiments and analyze experimental results

- Build models that can detect supply chain defects and explain variance to the optimal state

- Implement statistical and machine learning methods to solve complex business problems

Requirements:

- Strong analytical and quantitative skills with the ability to use data and metrics to justify requirements

- 1+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication

- Knowledge and practical experience in several of the following areas: machine learning, time series, and statistics Proficiency in model development, model validation, and model implementation

- Proficiency in working with SQL and Python

- 1-4 years of experience in analytics Space solving challenging problems

- You never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away

- A keen learner and willing to adapt to new environments

- Can lead, work independently as well as play a key role in a team

- Experience in FinTech Domain is a plus

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