Gemini Solutions - Data Science Role

DATA SCIENCE

Brief profile of Gemini Solutions:

Gemini Solutions is a leading IT Consulting and Product Development firm. Our services provide clients with a flexibility to choose from an array of automation and application development solutions and an option to outsource onshore or offshore. We serve a variety of industries including the Financial Services. Our biggest strength is a well-structured IT community of resources handpicked from the best colleges across India that keep abreast with the rapid changes in today's ever evolving technological scenario. With a creative management system, a skilled team, and an inherent agility, Gemini Solutions strives to provide custom, affordable, and quality services to its patrons.

Gemini excels in a wide range of services that include design, development and support of risk/performance management software along with operations outsourcing solutions in a round the clock fashion. We deliver innovative performance, risk measurement/management and analytics tools, giving our clients the information they need to make better-informed decisions. In addition, we also provide application development solutions both web and mobile (native & hybrid) on both Android and iOS platforms.

We believe that our people are our best assets and with a meritocracy set up and management team that consist of top professionals and there is never a dull moment at Gemini.

Give yourself a chance to work with the best, push your boundaries and create the impact!

Job Location: Gurgaon

Check us out:

Company Website: www.geminisolutions.in

LinkedIn: https://www.linkedin.com/company/gemini-solutions-india

Glassdoor: http://tinyurl.com/hvblhl5

Desired Profile:

- Preferred Masters or B Tech in CS / EE / Mathematics and Computing or a related discipline from a Tier 1 Institute (We will consider exceptional applicants with other backgrounds).

- Two to three years of experience in the machine learning domain, preferably finance.

- Extensive programming skills, ideally in Python. Proficiency in Numpy, Pandas and Scikit.

- Intermediate to advanced level knowledge in Machine Learning / Statistics.

Not Required but helpful:

- Knowledge of any deep learning framework

- Experience in Natural Language Processing / Computer Vision using Deep Learning

- Time Series Analysis

- Bayesian Statistics

- Functional Programming in Haskell / Scheme / Racket

- Systems Programming