Senior Data Scientist

JOB DESCRIPTION: Senior Data Scientist

Data Sutram is an AI-driven platform that provides Intel on People & Places with data from

250+ sources. The proprietary AI and ML driven data engine automatically converts raw

unstructured sources of data from satellites, mobile phones, POS machines & several other

sources to create insights that capture how people live & behave, available for any location in

varying levels of granularity. These insights are consumed by several companies in Financial

Services, Retail, E-commerce, Manufacturing etc. through APIs or SDKs or Data Sutram’s

proprietary geospatial platform.

About the Team

Data Sutram is a VC funded company backed by Varanium Capital (Varanium NexGen

Fund), Yatra Angel Network, IIFL Fintech Fund, Indian Angel Network and 100xVC.

The company is working with over 50+ enterprises across the country and has a team of

30+ people based out of Mumbai and Kolkata.

Why work at Data Sutram

If your dream job includes building a deep-tech company out of India that could potentially

cater to the needs of the world, you are in the right place.

If not, here are some other, more specific incentives that makes Data Sutram a great

workplace (even if we say so ourselves) for you:

● If you are looking to have a large impact at a fast-growing company and work with a

high-performance team.

● If you prefer freedom with responsibility over predetermined hierarchies.

● If you have a candid and transparent approach to problems- and you seek excellence

in whatever you do. [We need you to WANT to do a good job].

● If you like being challenged- and want to tackle problems that have not been solved.

● Most importantly, if you have empathy and you understand not just how to do a job,

but build solutions that could impact millions of lives.

About the Role: Senior Data Scientist

Data Sutram 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. As a data scientist, you get to work in our core product and work on

various critical client use cases using our Alternate Data Attributes. As a Senior Data

Scientist explore new solutions and use cases collaborating with Business Analysts & fellow.

Data Scientists.Responsibilities:

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Managing available resources such as hardware, data, and personnel so that

deadlines are met.

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Analyzing the ML and Deep Learning algorithms that could be used to solve a given

problem and ranking them by their success probabilities

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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

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Defining validation framework and establishing a process to ensure acceptable

data quality criteria are met

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Supervising the data acquisition and partnership roadmaps to create stronger

products for our customers.

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Defining feature engineering process to ensure the usage of meaningful features

given the business constraints which may vary by market

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

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Understand business issues and context, devise a framework for solving unstructured

problems and articulate clear and actionable solutions underpinned by analytics.

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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.

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Manage project resources optimally to deliver projects on time; drive innovation

using residual resources to create strong solution pipeline; provide direction,

coaching & training, feedback to project team members to enhance performance,

support development, and encourage value-aligned behavior of the project team

members; Provide inputs for periodic performance appraisal of project team

members.

●

Support migration of new processes/boundary change of existing processes;

manage hiring/attrition, cross-training, and transition to ensure business

continuity.

Preferred Technical & Professional expertise:

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M. Tech / Master’s Degree / PhD in Computer Science / Mathematics /

Statistics / economics or other quantitative fields

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5+ years of experience managing Data Science projects with specializations in

Machine Learning

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In-depth knowledge of cloud analytics tools.

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Able to drive Python Code optimization; ability review codes and provide

inputs to improve the quality of codes

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Ability to evaluate hardware selection for running ML models for optimal

performance

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Up to date with Python libraries and versions for machine learning; Extensive

hands-on experience with Regressors; Experience working with data

pipelines.

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Deep knowledge of math, probability, statistics, and algorithms

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Working knowledge of Supervised Learning, Adversarial Learning, and

Unsupervised learning

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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.

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Ability to manage a project team through effective allocation of tasks, anticipating

risks, and setting realistic timelines for managing the expectations of key

stakeholders

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Specialization/experience in Data Science (Artificial Intelligence / Machine Learning /

Deep Learning, Natural Language Processing, Big Data Analytics, Cloud

Computing) is preferred.

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Strong organizational skills and an ability to balance and handle multiple

concurrent tasks and/or issues simultaneously.

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Ensure that the project team understand and abide by the compliance

framework for policies, data, systems, etc. as per group, region, and local

standards

Location: Mumbai (on-site)