Job Description – 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.
Key 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.
Must-Have Skills
- 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
Good-to-Have Skills
- Google BigQuery and GCP
- XGBoost, TensorFlow, or PyTorch
- Time-series forecasting and anomaly detection
- IoT / telemetry analytics
- Cloud Run and Vertex AI
- Docker, CI/CD, FastAPI, and REST APIs
- Generative AI, LLM APIs, RAG, embeddings, vector databases, LangChain, and MCP
- Looker Studio
Qualification & Experience
- 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 candidates with less experience but excellent practical skills and project exposure may also be considered.
Ideal Candidate
We are looking for someone who can independently:
Understand the problem → analyze the data → identify the solution → implement → validate → deploy/report → communicate the outcome.
The candidate should demonstrate strong ownership, logical thinking, adaptability, attention to data accuracy, and willingness to continuously learn modern Data Science, Cloud, and AI technologies.
Pay: ₹300,000.00 - ₹350,000.00 per year
Benefits:
- Paid sick time
- Paid time off
- Provident Fund
Work Location: In person
