Staff Data Scientist
Tide
full-time
Posted on:
Location Type: Hybrid
Location: Bengaluru • 🇮🇳 India
Visit company websiteJob Level
Lead
Tech Stack
AWSCloudHadoopPythonSparkSQL
About the role
- Design and implement end-to-end GenAI and Agentic AI solutions, leveraging AWS Bedrock and Databricks, including building RAG pipelines and multi-agentic systems
- Build and optimize generative AI models, focusing on fine-tuning and prompt engineering; implement regularization and architectural patterns to ensure model reliability
- Collaborate with ML engineers to deploy models, establish CI/CD pipelines for GenAI, and implement robust model tracking and observability
- Implement systems to detect and address model drift, hallucinations, and safety guardrail failures
- Develop and plan roadmap for domain analytics and data engineering & science team
- Run scrum ceremonies with Product/Business teams
- Triage requests, create work breakdown structures, and assign tasks to Engineers/Scientists
- Work with Engineers, Scientists and governance team to identify challenges and propose solutions
- Ensure stakeholders are updated about changes in domain-specific data needs
- Build and track metrics for Engineering & Science team performance and provide feedback to Product and Business teams
- Deal with ambiguity and propose innovative solutions without getting blocked
Requirements
- 10+ years of experience in Software development or Machine Learning
- 4+ years of product management experience
- At least 2 years as a Product Owner embedding data initiatives into products (Data Science/ML)
- Hands-on experience with LangGraph or similar frameworks for building reusable and scalable multi-agentic workflows
- Deep understanding of prompt engineering, RAG pipeline design (including chunking, embedding strategies, and vector store optimization), and fine-tuning techniques for LLMs
- Hands-on experience with both quantitative and qualitative evaluation metrics for GenAI, including benchmarks for RAG pipelines and methods for assessing reliability and performance of agentic systems
- Ability to prioritise ML, Data Science and Machine Learning product roadmaps based on OKRs and priorities
- Deep understanding of managing technical products with a background in data
- High-level understanding of big-data technologies such as Spark, SparkML, Hadoop
- Strong knowledge of Cloud (AWS or other)
- Experience delivering in fast-growing product-focused companies (customer-facing products for retail or small business)
- Experience managing and coaching teams of data scientists
- Strong empathy and technical knowledge for developer audiences
- Significant experience working with varied stakeholders
- Good technical knowledge in SQL and strong Python programming skills
- Understanding of performance optimization across end-to-end data pipelines including ML/DS inferencing
Benefits
- Flexible working arrangements: work remotely from home or anywhere in your assigned Indian state
- Ability to work from a different country or Indian state for up to 90 days per year
- Competitive salary
- Self & Family Health Insurance
- Term & Life Insurance
- OPD Benefits
- Mental wellbeing support through Plumm
- Learning & Development Budget
- WFH setup allowance
- 15 days of Privilege leave
- 12 days of Casual leave
- 12 days of Sick leave
- 3 paid days off for volunteering or learning & development activities
- Stock Options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
GenAI solutionsAgentic AI solutionsAWS BedrockDatabricksRAG pipelinesprompt engineeringmodel trackingobservabilityLangGraphPython
Soft skills
collaborationleadershipcommunicationproblem-solvingprioritizationempathycoachingadaptabilitystakeholder managementinnovation