Sr. Data Scientist

Oneture Technologies; Bengaluru; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Oneture Technologies in Bengaluru is seeking an enthusiastic Data Scientist to develop, deploy, and optimize recommendation models that enhance user experience and engagement.

You will analyze user behavior, improve algorithms, and deploy models in production, using Python and ML libraries such as NumPy, Pandas, Scikit-Learn, PySpark, TensorFlow, or PyTorch, with Big Data technologies like Hadoop and Spark.

Bachelor's degree in Computer Science or equivalent required.

Qualifications

• 2–4 years of experience in data science or related field.
• Proficiency with Python and ML libraries.
• Bachelor's degree in Computer Science or equivalent from a reputed institute.

Responsibilities

• Design, build, and fine‑tune ML models focused on personalized recommendations to boost user engagement.
• Perform analysis of user behavior and purchasing patterns to generate actionable insights.
• Continuously improve recommendation algorithms using state‑of‑the‑art techniques and experiment with new approaches.
• Deploy ML models to production and develop tools for monitoring performance.

Skills

Strong foundation in statistics

Data analysis

Model development mindset

Education

Bachelor's degree in Computer Science or equivalent

Tools

Python

NumPy

Pandas

Scikit-Learn

PySpark

TensorFlow

PyTorch

Hadoop

Spark

SQL

Job description

We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion.

Responsibilities

• Model Development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention.
• Data Analysis: Perform comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights.
• Algorithm Optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies.
• Deployment and Monitoring: Deploy machine learning models into production environments and develop tools for continuous performance monitoring and optimization.

Requirements

• Experience: 2 - 4 years.
• Technologies / Skills: Python, machine learning, NumPy, Pandas, Scikit-Learn, PySpark, TensorFlow, or PyTorch
• Education level: Bachelor's degree (B. E. / B. Tech) in computer science or equivalent from a reputed institute.

Technical Expertise

• Strong foundation in statistics, probability, and core machine learning concepts.
• Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches.
• Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark).
• Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e. g., torch-rec).
• Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL).
• Familiarity with the full data science lifecycle from data collection and preprocessing to model deployment.