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Data Scientist, Digital Business
Data Scientist, Digital Business
SonyLIV is seeking a Data Scientist, Digital Business to drive data-driven solutions using machine learning and deep learning for OTT business use-cases. This role involves collaborating with product, tech, and data engineering teams to develop solutions across recommendation engines, content discovery, and user engagement, managing the end-to-end lifecycle of large-scale ML projects.
About the role
About the Role
SonyLIV is seeking a Data Scientist, Digital Business. The incumbent will be responsible for driving data-driven solutions using state-of-the-art machine learning and deep learning solutions for business use-cases in OTT.
Key Responsibilities
- Collaborate with product, Tech & Data engineering teams and develop data-driven solutions to improve technical and engineering functions/solutions.
- Work with state-of-the-art machine learning and deep learning technologies for a wide variety of problems across recommendation engine, content-discovery, search optimization, user-profiling, improving content metadata using NLP, user-engagement, retention and conversion etc.
- Managing end-to-end lifecycle of large scale ML projects from data preparation, model training, deployment, monitoring and upgradation.
- Setup A/B experiments to assess the impact of the proposed AIML solutions.
- Effectively present insights from the solutions with impactful storytelling.
- Staying updated with the best industry practices and developments to innovate on business problems.
Requirements
Education
- Bachelors/ Masters degree in quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
Experience
- 5+ years of proven experience of working with machine learning, deep learning models for handling structured and unstructured data alike.
Technical Competencies
- Wide machine learning experience including data processing, modelling, fine tuning, metric creations, evaluation strategies.
- Experience with pytorch/ tensorflow.
- Experience with big data distributed systems (Hive / PySpark, SparkSQL).
- Exposure to transformers, CNNs, RNNs, LSTMs, transfer learning and fine tuning these models.
- Experience working with NLP techniques with clear understanding of the transformers and various associated language models and LLMs.
- Fair exposure and know how of Generative AI developments.
- Ability to write efficient, clean, reusable and production ready code in python with understanding of version controls and CI/CD pipelines.
- Sound understanding of cloud platforms and services.
- Experience in Short Form contents or Digital UGC (user generated content) eco-system is a plus.
Other Personal Characteristics
- Straightforward and professional.
- Good communicator.
- High energy, with an ability to motivate.
- A do-it-yourself orientation, consistent with the company’s “roll-up the-sleeves” culture.
- Positive outlook with an ability to deal with ambiguity.