Scienaptic is the world's leading AI powered Credit Underwriting platform company. Designed by seasoned Chief Risk Officers, its platform is creating industry leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%) with all the regulatory explainability. Last year alone, we have helped financial institutions evaluate 45 Million consumers and offer credit to over 15 Million. Scienaptic's clients include Fortune 100 banks, community banks and Fintechs. The Data Scientist role will enable you to be at the forefront of latest cutting-edge technology and create a significant and visible business impact for Scienaptic. You will be working with some of the best-in-class Coders, AI/ML Scientist and Business Analytics Consultants in an environment which will encourage you to contribute widely to functional and technological aspects without worrying about conventional job silos. Role Responsibilities - 1. Design, build, test and deploy ML models at scale 2. Experience with modern machine learning techniques including Ensemble Methods, Deep learning 3. Write production ready code and deploy real time ML models ; expose ML outputs through APIs 4. Analyse website and apps effectiveness and recommend changes to content, navigation and design 5. Hypothesis Testing and Design of experiments to analyse and monitor results 6. Experience in building digital enquiry generation models, product recommendations on website, marketing response models, social media analytics. 7. Engineer features to improve decision algorithms 8. Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation Skill and Experience - 5-7 years of hands-on experience in Data Science with exposure to Digital Marketing, Social Media Analytics, CRM and traditional marketing Analytics - Work experience with Digital-native companies, Travel aggregator website, application companies OR e-commerce companies. 1. ML algorithms - Supervised / Unsupervised Learning, Clustering, Time Series Forecasting, recommender systems etc. 2. Languages and packages - Python, Spark, PySpark, SparkML, MLlib, 3. Knowledge in cloud platform - Microsoft Azure ADF, Azure kafka, Azure Databricks, Databricks MLflow 4. Experience building scalable / highly available distribute systems in production Experience - - 5-7 years of hands-on experience in Data Science with exposure to Digital Marketing, Social Media Analytics, CRM and traditional marketing Analytics - Work experience with Digital-native companies, Travel aggregator website, application companies OR e-commerce companies.

Bangalore

Scienaptic - Senior Data Scientist 

Scienaptic - Senior Data Scientist  ,Job Description for Scienaptic - Senior Data Scientist  in Scienaptic Systems in  Bangalore for (5-7) years of experience. Apply Now!

Job Description for Scienaptic - Senior Data Scientist  in Scienaptic Systems in  Bangalore for (5-7) years of experience. Apply Now!