Data Science Specialist

Role Overview: As a Data Scientist at our Bangalore-based team, you will play a crucial role in developing, deploying, and optimizing recommendation models to enhance user experience and engagement. Your contributions will directly impact customer interactions with products, driving personalization and conversion. Key Responsibilities: - Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. - Perform comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. - Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. - Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Qualifications Required: - Bachelors degree (B.E. / B. Tech) in Computer Science or equivalent from a reputed institute. - 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. - 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 the Company: Oneture Technologies, founded in 2016, is a cloud-first, full-service digital solutions company dedicated to helping clients leverage Digital Technologies and Data for business transformations. The company's team comprises curious, full-stack, innovative thought leaders committed to delivering exceptional customer experiences and fostering authentic relationships. Oneture's core competencies include Cloud-powered Product Engineering, Big Data, and AI/ML, with a focus on creating value for clients through a combination of agility and maturity. The company offers full lifecycle solutions from ideation to ongoing support and maintenance, catering to clients across various company sizes, geographies, and industries.,