The Role
Design, build, and optimize personalized recommendation models. Analyze user behavior and purchase patterns to generate insights. Deploy and monitor models in production, iterating on algorithms to improve engagement, retention, and conversion.
Summary Generated by Built In
Location: Bengaluru
Experience: 2 - 4 yrs
Technologies / Skills : Python, machine learning, NumPy, Pandas, Scikit-Learn, PySpark, TensorFlow or PyTorch,
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.
Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance.
Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them
Skills Required
- Bachelor's degree (B.E. / B. Tech) in Computer Science or equivalent
- 2-4 years experience in Data Science or Machine Learning
- Proficiency in Python
- Hands-on with NumPy, Pandas, Scikit-Learn
- Experience with PySpark and Spark
- Experience with Hadoop and SQL
- Experience with TensorFlow or PyTorch
- Experience developing recommendation algorithms (collaborative filtering, content-based, matrix factorization, deep learning)
- Familiarity with recommendation system libraries (e.g., torch-rec)
- Strong foundation in Statistics, Probability, and core ML concepts
- Familiarity with full Data Science lifecycle from data collection to deployment
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The Company
What We Do
Oneture Technologies is a cloud-first, full-service digital solutions provider specializing in helping enterprises harness the power of automation and data analytics, transforming ideas into business reality by solving technology challenges through innovation.
