Scienaptic is a new age AI powered credit underwriting company that offers end-to-end credit decisioning platform. Scienaptic's Ether platform is fundamentally disrupting the way consumer credit is administered. Financial institutions looking to expand their addressable market are engaging with Ether, which offers a suite of smart AI tools to better identify qualified prospects, flag high-risk prospects, and offer a much more comprehensive risk assessment. This approach allows financial institutions to attract prospects that were previously off the map and lend profitably to a previously underserved market. Our strength is built on our ability to get together a high calibre team of coders and data scientists.Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, inspires thought leadership, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you- re comfortable with ambiguity, excited by change, and excel through autonomy, Scienaptic will be the perfect place for you We are looking for an energetic and experienced person as Data Scientist. The chosen candidate will be responsible for developing all aspects of data mining, predictive analytic, network optimization solution development to name a few. Few expectations from the candidate are: - Focus on developing clear and concise analytical approach for problem solving with client partnership - Strong understanding and experience in building various optimization algorithms is a must. - Academic paper level understanding of math e.g. mixed integer linear programming, mixed integer non-linear programming techniques. - Experience in working with python libraries such as gurobipy and google OR tools is a must. - Strong understanding of ML libraries and applications e.g. Neural Net, SVMs, boosting methods and implementation using R/Python is a plus - Managing delivery of projects incl. timely communication, setting milestones and tracking - Experience in working on real life large messy dataset to solve real business problems. Kaggle experience is a plus - Experience in working in Healthcare industry, running designing and implementing simulations such as Monte Carlo simulations is an added bonus. Desired Qualifications &amp; Experience for Data Science role are: - Minimum 4 years of experience with machine learning, analytics consulting, product development - Minimum 4 years hands on coding experience with either of R/Python and demonstrated strong proficiency - PhD, MBA, MS, B.Tech, Masters in Operations Research / Statistics / Mathematics - Passionate about innovating, solving bigger picture problems, dealing with ambiguity - Strong presentation &amp; data visualization skills using either of Tableau, d3.js is a plus

Bangalore

Scienaptic - Data Scientist - Operations Research 

Job Description for Scienaptic - Data Scientist - Operations Research  in Scienaptic Systems in  Bangalore for (4-5) years of experience. Apply Now!