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Do you want your software skills to contribute meaningfully into finding technology driven solutions for various businesses and alongside grow your career, then read on.
Our client provides data-based process optimization and analytics solutions to businesses worldwide. Their innovative algorithms and customized IT solutions cater to complex problems related to every field or industry, through tools that are non standard and are backed-up by extensive research. They serve startups as well as large, medium and small enterprises, a majority of their clients being industry leaders.
With registered offices in India, USA and UAE, their projects support various sectors and functions like logistics, IT, Retail, Ecommerce, Healthcare industry among others, across Asia, America and Europe. The founder holds a Master’s degree from IIT and a PhD in Operations Research from USA, with rich experience in Optimization and Analytics for various industries. His team of top scientists and pedagogy experts are focusing on innovative revenue generation ideas with minimum operational costs.
As a Senior Data Scientist, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value.
What you will do:
Creating models and processes to collect, distill and interpret data with a view to aid more informed decision making
Examining and exploring data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client.
Generating insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients.
Applying your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies.
Delivering breakthrough business outcomes for clients-by harnessing talent, data and intelligence to revolutionize their operating models.
Desired Candidate Profile
What you need to have:
3-10 year experience in machine learning algorithms, predictive analytics, demand forecasting in real-world projects
Strong statistical background in descriptive and inferential statistics, regression, forecasting techniques.
Strong Programming background in Python (including packages like Tensorflow), R, D3.js , Tableau, Spark, SQL, MongoDB.
Preferred exposure to Optimization & Meta-heuristic algorithm and related applications
Background in a highly quantitative field like Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Industrial Engineering, or similar fields.
Should have 3-10 years of experience in Data Science algorithm design and implementation, data analysis in different applied problems.