Sr Associate - Data Science

Data Scientist

mPokket is a rapidly growing and well-funded fintech startup inthe lending domain. We offer micro loans to college students and youngprofessionals via our mobile app. With more than 11 million loans disbursed, weare among the largest and most rapidly growing digital lenders in the country.mPokket has been profitable since 2018 and is adequately funded. In our lastSeries A round in Feb 2020 we were backed by a US based private equity firm. Aswe look to scale the business another 10x-20x over the next few years, we arelooking for ambitious and talented individuals who want to be part of thisamazing journey .

We are looking for a Data Scientist to help us gain usefulinsight out of raw data.

Data Scientist responsibilities include working with the datascience team, planning projects and building analytics models. You should havea strong problem-solving ability and a knack for statistical analysis. Ifyoure also able to align our data products with our business goals, wed liketo meet you. Your ultimate goal will be to help improve our products andbusiness decisions by making the most out of our data.

Key Responsibilities

Responsible for overseeing the data scientists team and dataspecialists

Teach, lead, and counsel colleagues on new techniques or solutions

Collaborate with data and software engineers to enable deploymentof sciences and technologies that will scale across the companys ecosystem

Responsible for the conception, planning, and prioritizing of dataprojects

Responsible for building analytic systems and predictive models aswell as experimenting with new models and techniques

Ensure that data projects align with organizational goals

Minimum Qualification

Master's degree in Computer Science, Operations Research,Econometrics, Statistics or related technical field

3 + years of e xperience solvinganalytical problems using quantitative approaches

Experience communicating quantitative analysis results

Knowledge with relational databases and SQL

Development experience in any scripting language (PHP, Python,Perl, etc.)

Knowledge of statistics (e.g., hypothesis testing, regressions)

Experience manipulating data sets through statistical software(ex. R, SAS) or other methods

TechnicalSkills -

Musthave

Programming Python (Preferred) / R

ML Models i. Regression Linear, Logistic, Multinomial, Mixedeffect

Classification Bagging & Boosting (Random Forest),Decision tree, SVM

Clustering K-Means, hierarchical, DB-Scan

Time series ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS(VAR), UCM

Neural Networks (Deep learning), Naive Bayes

Excel and SQL

Dimensionality Reduction PCA, SVD etc.

Optimization Techniques Linear programming, Gradient Descent,Genetic Algorithm

Cloud Understanding of Azure / AWS offerings, Setting up MLpipeline of cloud

Goodto have

Visualization Tableau / Power BI / Looker / QlikView

Data management HDFS, Spark, Advanced Excel

Agile Tools Azure DevOps, JIRA

Pyspark

Big Data/Hive Database

IDE: Pycharm

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.