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20/04 Febina Abdulrahiman
Manager - Recruitment at Scienaptic Systems

Views:1120 Applications:275 Rec. Actions:Recruiter Actions:59

Scienaptic - Data Scientist (3-5 yrs)

Bangalore Job Code: 916262

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.

Responsibilities -

- Design, build, test and deploy ML models at scale

- Experience with modern machine learning techniques including Ensemble Methods,

- Recommender Systems, NLP and Deep learning

- Experience in handling recommender system algorithms like Non-personalized recommenders,

- Content based recommenders, Collaborative filtering etc.

- Write production ready code and deploy real time ML models ; expose ML outputs through APIs

- Analyse website and apps effectiveness and recommend changes to content, navigation and design

- Hypothesis Testing and Design of experiments to analyse and monitor results

- Experience in building digital enquiry generation models, product recommendations on website, marketing response models, social media analytics.

- Engineer features to improve decision algorithms

- Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation

Skills and Experience

- ML algorithms - Supervised / Unsupervised Learning, Clustering, Time Series Forecasting, recommender systems, Deep learning

- Languages and packages - Python, Spark, PySpark, SparkML, MLlib, Tensorflow, NLP Packages like NLTK

- Experience building scalable / highly available distribute systems in production

- 3-5 years of hands-on experience in Data Science with exposure to online recommender systems, NLP, traditional ML

- Work experience with Digital-native companies, Travel aggregator website, application companies OR e-commerce companies.

Women-friendly workplace:

Maternity and Paternity Benefits

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