Data Scientist - Evaluation

Key Skills

Algorithms, Analytical and Problem solving, Data science techniques, Deep Learning, Effective communication skills, English Proficiency, Machine learning techniques

Job Description

Do you feel passionate about solving problems through data? Have you spent 2+ years in the data science domain? If the answer to these questions is yes – look no further. Analytics Vidhya is looking for enthusiasts like you who can carry and deliver their baton to the world. As a Data Scientist, your role will be to understand the problems to its core and trying to build up the solutions iteratively from ground up. Thorough understanding of various machine learning and deep learning algorithms is a must.

What should you expect?

• A team of best data scientists and thought leaders from industry
• Disciplined entrepreneurship within the team. Each person is the owner of his/her work – you set the milestones, the pace and the achievements.
• High standards, deep passion for data science and a commitment to find out ways to make things work.

Who can fill in the shoes?

This role is best suited for:

• Person with 2+ years experience in the data science field
• Excellent understanding of how to think about data problems in a business context and solving them using Machine Learning or Deep Learning techniques
• High level proficiencies in Machine Learning and Deep Learning techniques
• Strong problem solving and communication skills (English)

Responsibilities / Authorities:

You should be strong in data science fundamentals and should have good hands-on experience working with the following:

• Working with clients to understand their business problems
• Converting the business requirements into data science problems
• Preparing dataset(s) for competitions
• Creating solutions for data science problems using Machine Learning or Deep Learning
• Regularly participating in data science competitions to keep yourself up to date with the latest trends in the domain
• Continuously review on evaluation questions created by team to ensure the quality.