Data Scientist (Machine Learning Researcher)
Experience: 6-12 Years
CTC: 20-35 LPA
Primary responsibility is to carry out R&D and pilots to establish data science techniques that work well in production settings.
Developing core data science models and capabilities - that power the Near Location Intelligence Platform and associated products.
Advanced data analytics include processing structured (payments, Telcom, page clicks etc) and unstructured data in multiple formats (text, audio, video) spanning multiple domains including user profile data, geo-spatial data, network data, and retail data.
Mentor/share knowledge of data science with other global members of the Near, document and partner with others as a team to deliver the maximum value for the company.
Understand and prioritize data science work based on cost-effectiveness and leveraging time management skills.
Attend conferences and organize workshops/meet-ups to be in touch with the data science community.
Must have a minimum of 3-5 years of industry experience in developing data science models.
Must have completed academic projects in data science experimenting with raw data and generating insights, publications are a plus.
Must have thorough mathematical knowledge of correlation/causation, decision trees, classification, and regression models, recommenders, probability, and stochastic processes, distributions, priors, and posteriors.
Skilled at scientific programming languages such as Python, Java, R, Matlab, Clojure and writing deployable code into production.
Understand the model lifecycle of cleansing/standardizing raw data, feature creation/selection, writing complex transformation logic to generate independent and dependent variables, model selection, tuning, A/B testing and generating production-ready code.
Knowledge of Numerical optimization, Linear/Non-linear/Integer programming, Statistics, Combinatorial optimization is a plus.
Should be from Tier-1 colleges
Anram Solutions is a new age company that provides quality IT services and Integrated solutions to the industry across the globe. We offer a wide range of business solutions in general and services in the areas of Customized Software Development, Consulting and Workforce Solutions, in particular.