We are looking for a hands-on data scientist to build and scale advanced machine learning and personalisation solutions for Samsung's e-commerce platform. This role combines strong analytical thinking, deep technical expertise, and business understanding to deliver data-driven impact at scale.
Responsibilities
- Gather, clean, and process large-scale structured and unstructured datasets.
- Perform statistical analysis to uncover trends, patterns, and actionable insights.
- Build, test, and deploy machine learning models and predictive systems.
- Develop recommendations and personalisation systems to enhance user experience.
- Create clear data visualisations and communicate insights to stakeholders, machine learning and AI.
- Work with ML techniques such as regression, clustering, decision trees, and deep learning.
- Apply NLP and LLM-based solutions using tools like Hugging Face, OpenAI, and LangChain.
- Continuously evaluate and adopt emerging AI technologies.
Collaboration And Execution
- Partner with engineering, product, and business teams to solve real-world problems.
- Translate business requirements into scalable data solutions.
- Present insights and recommendations to both technical and non-technical stakeholders.
Requirements
- 5+ years of experience in data science or machine learning.
- Strong expertise in Python, SQL, and Big Data tools (Hive and Spark).
- Experience working with cloud platforms such as AWS, GCP, or Azure.
- Proven experience building and deploying ML models at scale.
- Strong understanding of statistical modelling and machine learning algorithms.
- Experience handling high-volume (1TB+) and high-dimensional datasets.
Good To Have
- Experience in recommendation or personalisation systems.
- Exposure to eCommerce or consumer platforms.
- Familiarity with deep learning frameworks.
- Experience with real-time data pipelines and large-scale deployments.
Nice To Have
- Strong analytical mindset with problem-solving ability.
- Ability to work independently and take ownership.
- Comfortable working in fast-paced, high-impact environments.
- Ability to be detail-oriented to business impact.
- Detail-oriented while managing tight deadlines.
This job was posted by Divya Kandula from Invictus.
