Data Scientist (Bangalore)
bengaluru,
India
Brief:
As a Data Scientist, you will transform complex data into actionable insights, drive strategic business decisions, and develop predictive models that enhance our platform and services. You will work closely with Data Scientists, ML Engineers, and cross functional teams to create data driven solutions that optimize media strategy, improve audience targeting, and deliver measurable impact.
This role involves leveraging AI/ML techniques to optimize marketing campaigns, segment audiences, analyze consumers behaviour, forecast ROI, and incorporate generative AI to drive innovation in media applications. By using cutting edge AI/ML technologies, you will contribute to support the development of transformative solutions tailored to the media industry.
Responsibilities
- Creating innovative AI/ML systems to tackle real world business problems.
- Collect, preprocess, and integrate datasets through efficient ETL pipelines to ensure data quality and accessibility.
- Perform exploratory data analysis and feature engineering to prepare data for modelling.
- Build, deploy, and optimize scalable machine learning models for real-time and batch processing.
- Design and implement robust data pipelines for processing large-scale datasets.
- Develop predictive models, recommendation systems, and time-series forecasting techniques to enhance marketing campaign outcomes.
- Fine tune large language models (LLMs) for media specific applications, including automating content creation, audience analytics, and campaign performance analysis.
- Create new algorithms and models to solve complex business problems and unlock new opportunities.
- Monitor model performance, identify improvement areas, and maintain retraining pipelines for continuous optimization.
- Stay updated on the latest advancements in AI/ML technologies and apply innovative approaches to solve media industry challenges.
- Adopt Agile methodologies to foster collaboration, enhance efficiency, and deliver high-quality solutions in iterative development cycles
Must Have
- Experience: 3 to 5 years of hands on experience in data science, with a proven track record of delivering end to end AI/ML projects in production environment, not just notebooks or research
- Skills: Strong Python programming skills, with emphasis on writing efficient, clean, maintainable code following OOP principles and design patterns. Focus on scalable systems, low coupling, and maintainability.
- Experience building RAG pipelines and working with LLMs in production environment.
- Solid ML fundamentals across the full lifecycle: feature engineering, training, monitoring, drift detection, and explainability.
- Comfortable building FastAPI-based services and deploying ML solutions in cloud environments.
- Tools: Pandas, Numpy, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, Hugging Face Transformers, GPT, BERT, Amazon SageMaker, AWS, GCP, Azure, Apache Airflow, Databricks, AWS Glue, Snowflake, Matplotlib, Seaborn, Git, Bitbucket.
- Education: Bachelor’s or Master’s degree in Engineering, Applied Mathematics, Statistics, Data Science, Computer Science, or a related field.
Nice to have
- Proactive in identifying and solving problems with impactful AI/ML solutions.
- Ability to explain complex technical concepts to non technical stakeholders in a clear and actionable manner.
- Strong organizational skills to manage multiple projects, prioritize effectively, and meet deadlines.
- Experience in serving models efficiently under production level traffic, handling quantization, batching, and stability for sustained performance.
- Comfortable working in an unstructured environment and navigating ambiguity with confidence.
- OCR and document intelligence experience for extracting structured data from messy PDFs or scanned documents.
- Experience in building FastAPI based services and deploying ML solutions in cloud environments.
- Familiarity with agentic frameworks like CrewAI or LangGraph is a plus; MCP integration experience is ideal.
- Familiarity with vector databases for retrieving embeddings and enabling efficient similarity searches is a highly preferred skill.
- Demonstrate a strong understanding of the ethical implications of AI technologies, ensuring that models and solutions are developed in a way that avoids harm to individuals, complies with relevant laws, and prevents unintended or negative consequences.
- Actively consider security and privacy concerns when working with sensitive data and models, ensuring that all data handling practices align with best practices for data protection and regulatory compliance.
- Familiarity with the media industry, including campaign analytics, audience segmentation, and generative AI applications, is a plus.
- Familiarity with using Jira or similar project management tools to track progress, manage tasks, and collaborate with cross-functional teams efficiently.
- Willingness to go above and beyond assigned responsibilities, actively contributing to the team’s success in a startup environment.
What We Offer
Each employee has a chance to see the impact of his work.
You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly
sports sessions, team building events, monthly drink, and much more
Perks
A full-time position
Attractive salary package.
Trainings (optional)
12 days / year, including
6 of your choice.
Team Activity
Play any sport with colleagues,
the bill is covered.
Creative spaces & entertainment
Also Fruit, coffee and
snacks provided.
Friendly Environment
smart people, No dumb managers, no stupid tools to use.
Expand your knowledge
various business industries.
