Associate Data Scientist

Role Overview

We are looking for a motivated and technically strong Associate Data Scientist with 1–3 years of experience to work across Data Analytics, Business Intelligence, Machine Learning, IoT analytics, cloud, and AI-driven solutions. The ideal candidate should be a strong problem solver, fast learner, good communicator, and capable of independently owning tasks from requirement understanding through implementation and validation.

Responsibilities

• Analyze, clean, transform, and validate large-scale business and IoT datasets using Python, SQL, Pandas, NumPy, and BigQuery.
• Write advanced SQL queries using joins, CTEs, window functions, subqueries, aggregations, and business logic.
• Build and maintain Power BI dashboards using DAX, Power Query, data modeling, KPIs, and calculated measures.
• Perform customer, subscription, revenue, churn, operational, and IoT/device analytics.
• Develop and evaluate machine learning models for regression, classification, forecasting, anomaly detection, churn, device failure, and predictive analytics.
• Investigate data discrepancies, perform reconciliation, and identify root causes of data-quality issues.
• Work with GCP, BigQuery, Cloud Run, Vertex AI, FastAPI, Docker, Git, GitHub Actions, and CI/CD for analytical and ML workflows.
• Develop or integrate Generative AI solutions using LLMs, RAG, embeddings, vector databases, LangChain, Claude/Gemini APIs, tool/function calling, and MCP.
• Collaborate with product, engineering, QA, business, and customer-facing teams.
• Document business rules, KPI logic, data definitions, model logic, and reporting methodologies.
• Monitor dashboard accuracy, data quality, model performance, and production workflows.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Statistics, Mathematics, Engineering, IT, or related field.
• 1–3 years of relevant experience in Data Science, Data Analytics, BI, Machine Learning, or related roles.
• Strong Python and SQL.
• Pandas, NumPy, data cleaning, EDA, and statistical analysis.
• Power BI, DAX, Power Query, and data modeling.
• Machine learning fundamentals using Scikit-learn.
• Regression, classification, feature engineering, model evaluation.
• Strong analytical, debugging, and root-cause analysis skills.
• Ability to understand business requirements and work independently.
• Good written and verbal communication skills.
• Git/version-control fundamentals.

Skills

• Python
• SQL
• Power BI
• Machine Learning
• GCP

Benefits

• Paid sick time
• Paid time off
• Provident Fund