Tide

Staff Data Scientist

Tide

full-time

Posted on:

Location Type: Hybrid

Location: Delhi NCR • 🇮🇳 India

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Job 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 RAG pipelines and multi-agentic systems
  • Build and optimize generative AI models, focusing on fine-tuning and prompt engineering using frameworks like LangChain and LangGraph
  • Collaborate with ML engineers to deploy models, establish CI/CD pipelines for GenAI, and implement 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 team and triage requests, create work breakdown structures and assign tasks
  • 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
  • Lead cross-functional teams, manage 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, especially Data Science and Machine Learning
  • 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)
  • Delivered in a fast-growing product-focused company before as a Data Manager, Data Lead or Data Program manager for customer-facing products
  • Good technical knowledge in SQL and strong Python programming skills
  • Good understanding of performance optimization in end-to-end data pipelines including ML/DS inferencing
  • Excellent leadership skills with experience managing and coaching a team of data scientists
  • Significant experience working with varied stakeholders
  • Self-starter, organised and pragmatic
Benefits
  • Make work, work for you! Flexible Working Out of Office (WOO) policy: work remotely from home or anywhere in your assigned Indian state
  • Ability to work from a different country or Indian state for 90 days of the year
  • Competitive salary
  • Self & Family Health Insurance
  • Term & Life Insurance
  • OPD Benefits
  • Mental wellbeing through Plumm
  • Learning & Development Budget
  • WFH Setup allowance
  • 15 days of Privilege leaves
  • 12 days of Casual leaves
  • 12 days of Sick leaves
  • 3 paid days off for volunteering or L&D activities
  • Stock Options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
GenAIAgentic AIAWS BedrockDatabricksLangChainLangGraphprompt engineeringRAG pipelinesSQLPython
Soft skills
leadershipcollaborationorganizationcommunicationproblem-solvingprioritizationself-starteradaptabilitycoachingstakeholder management