JD - Sr. Data Scientist

Experience: 6+ years

Location: Bangalore (Onsite)

Notice Period: Candidates who can join within 15 days may only apply

Job Summary

- We are seeking a Senior Data Scientist with strong expertise in MLOps and NLP to support media analytics use cases. The ideal candidate will have hands-on experience in developing and operationalizing advanced machine learning models, maintaining production-grade pipelines, and driving automation across the model lifecycle.

- A minimum of 6 months of experience in media analytics or marketing effectiveness is sufficient, provided there is strong technical depth in model deployment, optimization, and NLP-driven business insights.

Required Skills & Experience

- 6-8 years of experience in Data Science/Analytics with solid exposure to machine learning operations (MLOps) and natural language processing (NLP).

- Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, or related quantitative fields. A master's degree is preferred.

- Strong programming skills in Python, Spark, and SQL, following clean coding and documentation best practices.

- Proven experience in MLOps, including CI/CD pipelines, automated testing, containerization, model monitoring, and deployment.

- Experience using platforms such as Databricks, Snowflake, and Azure.

- Familiarity with large language models (LLMs), generative AI, and integrating NLP solutions into business workflows.

- Proficiency with BI tools such as Power BI, Tableau, or DOMO.

- Deep understanding of machine learning algorithms, data structures, and scalable solution design.

- Strong analytical and problem-solving skills with an ability to work in a fast-paced environment.

- Excellent communication and teamwork skills with the ability to collaborate across global teams.

Desired Qualifications:

- Industry background in Retail, eCommerce, or CPG.

- Experience with time series forecasting, customer lifetime value modeling, and text-based classification tasks.

- Familiarity with cloud-native MLOps tools (Azure ML, MLflow, Kubeflow, etc.).

Key Responsibilities

- Design, build, and deploy scalable machine learning and NLP models for various business needs.

- Implement and maintain production-grade MLOps pipelines including model training, testing, deployment, and monitoring.

- Collaborate with stakeholders to translate business challenges into data-driven insights and AI solutions.

- Support limited media analytics use cases, including campaign performance measurement and media optimization.

- Partner with cross-functional teams (data engineers, architects, business analysts) to deliver robust AI and ML solutions.

- Drive automation in data science workflows, performance tracking, and model governance processes.

- Promote the adoption of modern tools, frameworks, and practices for continuous improvement.

- Research and experiment with new technologies such as LLMs and generative AI for practical business applications.