# Data Scientist

## Summary
- Organization: super.money 
- Location: Bengaluru, Karnataka, India
- Type: Full-Time
- Department: N/A
- Status: active
- Posted: [object Object]
- Updated: [object Object]
- Closing Date: N/A
- External Apply: Yes
- External Apply URL: https://www.linkedin.com/jobs/view/4449363855/

## Details
- Salary: N/A
- Experience: N/A
- Education: N/A
- Team: N/A
- Reporting To: N/A

## Description
**About the job
Role Overview**

We are looking for a Data Scientist to design, develop, and deploy machine learning solutions that solve business problems. The role involves working across the ML lifecycle — from data analysis and feature engineering to model development, evaluation, and productionisation.

**Experience Range:**

2 – 4 Years of professional experience

**Department / Domain:**

Data Science & Analytics (Fintech / Risk / Fraud preferred)

**Employment Type:**

Full-Time / Permanent

**Responsibilities** 

● Develop and deploy machine learning models for classification, regression, and other predictive analytics use cases.

● Apply strong understanding of machine learning algorithms including Logistic Regression, Decision Trees, Random Forests, Gradient Boosting models (XGBoost), Ensemble techniques, and Neural networks / deep learning approaches where applicable.

● Perform feature engineering, including data preprocessing, encoding, missing value treatment, feature transformations, and creation of meaningful business features.

● Analyse large datasets to identify patterns, generate insights, and build data-driven solutions. ● Evaluate model performance using appropriate metrics such as AUC, Precision-Recall, F1, KS, Gini, and PSI.

● Handle real-world ML challenges including class imbalance, model calibration, data leakage, and model performance monitoring.

● Build scalable and production-ready ML solutions and collaborate with engineering teams for deployment.

● Document models, including objectives, data inputs, performance metrics, and limitations. ● Stay updated with advancements in machine learning and apply relevant techniques to business problems.

**Required Skills & Qualifications** 

● Experience building, improving, and independently scaling machine learning models. ● Strong foundation in machine learning concepts, statistical frameworks, and model optimization. ● Hands-on mastery of Python (pandas, numpy, scikit-learn) and SQL databases. ● Advanced feature engineering capabilities, data preprocessing, and experience handling real-world datasets (including class imbalances and complex workflows).

● Deep familiarity with structural model evaluation metrics, workflows, and execution strategies. ● Exposure to deep learning configurations, sequence models, or transfer learning approaches. ● Ability to build production-ready ML models, collaborate with engineering teams, and translate complex business problems into effective ML solutions.

**Preferred Qualifications** 

● Experience working in fintech, lending, risk, fraud, or other data-intensive domains. ● Experience with model deployment, monitoring, and ML systems. ● Familiarity with research papers and emerging machine learning techniques.

## Responsibilities
None

## Skills
None

## Tags
None

## Organization
- Name: super.money 
- Website: https://super.money/
- Industry: Financial Services
- Size: 51-200 employees
- Founded Year: 2023
- Description: Why is super.money India's most rewarding UPI platform?

super.money isn’t just another UPI app : it’s your daily money hack. 
Whether you’re booking a flight, grabbing coffee, or splitting bills with friends, you get rewarded every time you spend. 
Think instant cashback, flight rewards, and credit that actually works for you. 

It’s built for speed, packed with perks, and made for the way Gen Z moves - fast, smart, and always on. 

Basically, if you’re not using super.money, you’re leaving money on the table.

Playstore link:
https://play.google.com/store/apps/details?id=money.super.payments

iOS link:
https://apps.apple.com/app/super-money/id6502597504