Data Scientist

About the Role : Data Scientist

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 Data Scientist, explore new solutions and use cases collaborating with Business Analysts & fellow Data Scientists.
 Experience: 1+ year of relevant experience
 Location: Mumbai, Work From Office
 Fintech or BFSI experience is preferred
 Proficient in Python coding

Responsibilities
 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 establishing a process to ensure acceptable data quality criteria are met
 Supervising the data acquisition and partnership roadmaps to create stronger products for our customers.
 Defining feature engineering process to ensure the 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, 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.

Skill Requirement
 M. Tech / Masters Degree / PhD in Computer Science / Mathematics / Statistics / economics or other quantitative fields
 1+ years of experience 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 maths, 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 effective allocation of tasks, anticipating risks, and setting realistic timelines for managing the expectations of key stakeholders
 Specialization/experience in Data Science (Artificial Intelligence / Machine Learning / Deep Learning, Natural Language Processing, Big Data Analytics, Cloud Computing) is preferred.
 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 the compliance framework for policies, data, systems, etc. as per group, region, and local standards,