Senior Data Scientist / Deep Learning/ Computer Vision
Location
Mumbai | India
Job description
Role: Data Scientist
Who We Are Our Client is a diversified enterprise headquartered in New York. has rich experience of 30+ Years of growing several business enterprises. It has invested and managed over US$ 3 Bn across business segments worldwide viz. petrochemicals, life-sciences, information technology, real estate and financial advisory.
Other significant enterprises developed and invested in by our client include Real Estate, a commercial real estate development and investment company, Lifesciences a leading contract research services organization, with operations in the US and India, and Asset Management
Location: Mumbai, India
The Role And Responsibilities You'll be working with varied and diverse teams to deliver unique and unprecedented solutions across industries.
As a Data Scientist, you will be primarily responsible for managing technical projects and helping teams design analytics (or modeling) pipelines that consistently drive solutions to be extensible and produce quality.
You are an expert in selected domains and can contrast methods and select appropriate approaches based on the data or analytics problem at hand.
Your Responsibilities Will Include, For Example - Exploring data and crafting models to answer core business problems
- Explaining, refining, and crafting model insights and architecture to bring stakeholders through the journey of model building
- Keeping up with your domain's state of the art & developing familiarity with emerging modeling and data engineering methodologies
- Advocating application of best practices in modeling, code hygiene, and data engineering
- Led the development of proprietary statistical techniques, algorithms, or analytical tools on projects and asset development
Your Experience & Qualifications You are a well-rounded technologist who brings a wealth of real-world experience and:
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science
- Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
- Comfort in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly
- Demonstrated fluency in modern programming languages for data science, covering a wide gamut from data storage and engineering frameworks through machine learning libraries. Knowledge of one or more machine learning frameworks, including but not limited to:
- Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet, etc.
- Familiarity with the architecture, performance characteristics, and limitations of modern storage and computational frameworks.
- A history of compelling side projects or contributions to the Open-Source community is valued but not required
- Solid theoretical grounding in the mathematical core of the major ideas in data science and applied understanding of a class of modeling or analytical technique
- Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra, and Vector Calculus
- Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.)
- Interest/background in Prop Tech in particular
Your Attributes Our Team Comprises People From Varied Backgrounds. We Don't Care Whether You Are Loud Or Quiet, Funny, Or Serious, Introverted Or Extroverted. We Do, However, Ask That You Have
- An advanced degree from a top academic program
- A genuine passion for technology and solving problems
- A pragmatic approach to solutions and delivery
- Excellent communication skills, both verbal and written
- A clear commitment to creating impactful solutions that solve our problems
- The ability to work fluidly and respectfully with our incredibly talented team
- Willingness to travel (when it's safe to do so)
Job tags
Salary
