Senior Data Scientist

About the job

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. Good to Have : • 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.). • Experience in media measurement, marketing effectiveness, and performance optimisation is a plus. 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.

Requirements

• MLOps
• Natural Language Processing
• Python
• Spark
• SQL

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Mathematics, or related quantitative fields

Preferred Technologies

• MLOps
• Natural Language Processing
• Python
• Spark
• SQL