Required Skills & Experience:

(Various roles open from Data Scientist, Senior Data Scientist to Associate Data Scientist, role will depend on educational qualifications, past experience and performance during the interview)

·      2-5 years of experience in the area of data science/machine learning specializing in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence/Computer Science.

·      Solid programming skills in Python, ML frameworks (e.g., scikit-learn, tensorflow, nltk, sagemaker), Shell Programming and SQL.

·      Deep understanding of statistical modelling/machine learning/ data mining concepts

·      Strong analytical and quantitative problem solving ability

·      Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.

Preferred Skills & Experience

·      Experience in any one of the following industries: Financial Markets/Wealth Management, Retail and Banking industries.

·      Experience in working with huge datasets and big data technologies.

·      Experience with Natural Language Processing/Text Analytics

 Role and Responsibilities (Data Scientist / Sr. Data Scientist)

• Work independently or in team to solve complex problems and create scalable models/algorithms that will be integrated into Envestnet’s tools and products.
• Come up with actionable ideas to solve problems faced by product managers & senior leadership then implement those ideas.
• Communicate context, data, solution and implications to the team, senior leaders and stakeholders.

Qualifications and Experience

• Post-Graduate (preferred)/Undergraduate degree in Data Science/Computer Science/ Mathematics/ Statistics/ Economics or MBA Finance/Data Science from premier schools.
• 2-5 years of experience in applying data science technique to real world problems.