Browse current jobs

Senior Analyst - Data Science

LatentView Analytics · Chennai

Apply on employer website

Source and collection record

Read the employer source

Last observed by our collector: . This is not a manual review or a confirmation from the employer.

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

<p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Designation: Senior Analyst - Data Engineering</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Experience: 5 to 7 Years</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Location: Remote-tn, Tamil Nadu , India (REM_TN)</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><br /></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;"><span style="font-family:DarwinSans;">Job Description:</span></span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;"><span style="font-family:DarwinSans;">AI Engineer-Analyst</span></span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Architect and build multi-agent AI systems that automate complex operational decisions </span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Design intelligent recommendation engines that model downstream consequences of operational changes and suggest optimal courses of action</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Build and deploy LLM-powered assistants for internal teams and customer-facing use cases, grounded in Databricks' own technology stack</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Implement RAG pipelines, tool-use agents, and agentic workflows using frameworks such as LangChain, LangGraph, AutoGen, or equivalent</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Build signal-driven pipelines that identify patterns in historical data and surface proactive recommendations to operations and sales teams</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Construct Next Best Action engines that help the team engage at-risk accounts before issues escalate</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Ensure AI interactions are accurate, explainable, and appropriately grounded in structured enterprise data</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><br /></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;"><span style="font-family:DarwinSans;">Key Responsibilities:</span></span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Model Development: Ability to turn ambiguous business problems into structured analytical frameworks with measurable outcomes</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Designing, building, and training machine learning (ML) models and algorithms (supervised, unsupervised, reinforcement learning).</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Data Engineering: Collecting, analyzing, preprocessing, and transforming large, unstructured datasets for training. Experience with data modeling and building unified data layers across heterogeneous sources</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">System Deployment (MLOps): Transitioning models from research to production, creating APIs, and integrating AI into existing software infrastructures.</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Optimization & Monitoring: Enhancing model performance, latency, and accuracy; monitoring for data drift.</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Collaboration: Ability to work closely with stakeholders and translate operational pain points into AI-ready problem statements</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">Experience presenting analytical findings and AI system designs to senior leadership</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><br /></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;"><span style="font-family:DarwinSans;">Skills:</span></span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">AI/ ML, Data Engineering, ETL pipeline design, and big data processing - (Databricks, SQL, PySpark)</span></p><p style="margin-bottom:1rem;color:rgb(19,19,19);"><span style="font-family:Georgia;">PowerBI / AI/BI solutions in Databricks.</span></p>

Collected experience requirement

5 - 7 Years