Senior Data Scientist

Key Responsibilities:

Developing data, ML, AI, and BI product features to enhance the user experience and the value delivered through data 
Develop ML/AI solutions to improve the data related internal processes like data ingestion, summarization, quality check etc. in terms of accuracy and efficiency 
Working with product and design teams to gather requirements and design data solutions 
Coordinating with the development team for the deployment of data science solutions 
Documentation and presentation of data solutions to internal stakeholders and clients 
Research and exploration of the latest data science products and interventions in the relevant field 
Data analysis for data quality assessment and insight generation 
Mentoring and coaching junior team members

Requirements:

B.Tech/B.E./MSc./MBA in engineering, maths, or statistics from top college 
Minimum 3 years of experience with data science, machine learning, and programming 
Expertise in Python, SQL, object-oriented programming, and machine learning libraries 
Knowledge of statistics, machine learning, AI, and NLP tools and techniques 
Knowledge of Git, CI, Spark, AWS ,and data pipelines 
Knowledge of Excel, PowerPoint, Shell is desirable 
Good written and verbal communication skills 
Strong problem solving, and quantitative skills 
The candidate should be a quick learner and should be up to date with current technology trends. We solve complex, completely new problems in the financial domain which requires someone who is not intimidated by challenges, thrives under pressure, and is hyper-focused on delivering exceptional results. 
Experience: 4-7 years