Data Scientist

Data Sutram, funded by India Infoline (IIFL), Indian Angel Network (IAN) and 100x.VC (led by Sanjay Mehta), is an alternate data company, using external data feeds to create every location's DNA that is utilized in various use cases like credit underwriting, location profiling, site selection, etc. It is one of the fastest-growing companies in the space of Artificial Intelligence & Location Analytics in India. As a data scientist, you get to work in our core product and work on various critical client use cases. As a data scientist, you get to explore new solutions and use cases collaborating with Business Analysts & fellow Data Scientists.

Roles and Responsibilities

Managing available resources such as hardware, data, and personnel so that deadlines are met.

Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities

Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Defining validation framework and establish a process to ensure acceptable data quality criteria are met

Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.

Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market

Device self-learning strategies through analysis of errors from the models

Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics.

Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner.

Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members.

Preferred Technical & Professional expertise

Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields

At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning

In-depth knowledge of cloud analytics tools.

Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes

Ability to evaluate hardware selection for running ML models for optimal performance

Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.

Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning

Deep analytical thinking with excellent problem-solving abilities

Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.

Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders

Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously.

Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards