Oneture Technologies - Data Scientist - Python/Numpy/Pandas

Job Description - Data Scientist

Location : Bangalore, India Experience Level : 2 4 Years

Role Overview : 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.

Key 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 & Monitoring : Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization.

Technical Skills Required :

- 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.

Soft Skills :

- Excellent analytical and problem-solving abilities.

- Strong communication skills, capable of explaining complex technical concepts clearly to diverse audiences.

- Proven collaborative skills, able to effectively work in cross-functional environments.

Educational Background :

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field