Oneture Technologies
Website:
oneture.com
Job details:
About the Role
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 & Monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization.
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.
About Oneture Technologies
Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities.
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