Manager - Data Science

mPokket Financial Services Private Limited; Bengaluru; On-site; INR 1,800,000 - 3,500,000; Full time

Job summary

mPokket Financial Services Private Limited is seeking a Data Scientist to derive actionable insights from raw data. You will collaborate with the data science team, plan projects, and build analytics models to support product decisions and business outcomes.

The role requires strong problem-solving, statistical analysis, and the ability to align data products with business goals. You will oversee the data science team, mentor colleagues, and work with data and software engineers to deploy

Qualifications

• Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field.
• 6+ years of experience solving analytical problems using quantitative approaches & from BFSI or Lending industry.
• Experience communicating quantitative analysis results.
• Knowledge with relational databases and SQL.
• Development experience in scripting languages (PHP, Python, Perl).
• Knowledge of statistics (e.g., hypothesis testing, regressions).
• Experience manipulating data sets through statistical software (e.g., R, SAS) or other methods.

Responsibilities

• Oversee the data scientists team and data specialists.
• Teach, lead, and counsel colleagues on new techniques or solutions.
• Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem.
• Responsible for the conception, planning, and prioritizing of data projects.
• Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques.
• Ensure that data projects align with organizational goals.
• Communicate quantitative analysis results to stakeholders.

Skills

K-Means

Hierarchical clustering

DB-Scan

Neural networks

Deep learning

Naive Bayes

Excel

SQL

PCA

SVD

Linear programming

Gradient Descent

Genetic Algorithm

Azure

AWS

Python

R

SAS

Perl

PHP

Education

Masters degree in Computer Science/OR/Econometrics/Statistics

Tools

R

SAS

HDFS

Spark

Job description

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. Ifyou’re also able to align our data products with our business goals, we’d 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 data specialists
• 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 company’s 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
• Master's degree in Computer Science, Operations Research,Econometrics, Statistics or related technical field
• 6 + years of e xperience solvinganalytical problems using quantitative approaches & from BFSI or Lending industry
• 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

Musthave

• Clustering – K-Means, hierarchical, DB-Scan
• Neural Networks (Deep learning), Naive Bayes
• Excel and SQL
• Dimensionality Reduction – PCA, SVD etc.
• Optimization Techniques – Linear programming, Gradient Descent, GeneticAlgorithm
• Cloud – Understanding of Azure / AWS offerings, Setting up MLpipeline of cloud

Goodto have

• Data management – HDFS, Spark, Advanced Excel