Experience 1–3 yrs (2–4 years)
About the role
structured by ORIRole: Data ScientistDepartment: Data ScienceLocation: Bengaluru [On-site]Experience: 2 to 4 YOEAbout ClickPost:Since 2017, ClickPost has been the post-purchase intelligence platform that turns logistics complexity into a competitive advantage for the world's leading retailers, including Walmart, Nykaa, Mars, Adidas,…
What you will do
- Build, train, and evaluate machine learning and deep learning models for real logistics problems, delivery date prediction (EDD), delivery-failure (NDR) resolution, ETA estimation, ranking/recommendations, forecasting, and anomaly detection.
- Explore large, messy, real-world datasets end-to-end: variable identification, data cleaning, feature engineering, dimensionality reduction, distance/similarity computation, and handling missing/imputed data.
- Build and maintain data pipelines (batch & streaming) on Databricks using Spark, PySpark, and Delta Lake.
- Write clean, well-documented code in Python (pandas, NumPy, scikit-learn, Matplotlib) for analysis, modeling, and production.
- Deploy models to production and own their lifecycle, monitoring, validation, drift detection, and continuous improvement.
- Design and run experiments (A/B testing, causal analysis), apply statistical analysis to measure impact, and translate results into actionable recommendations.
- Partner with product, engineering, and business teams to turn ambiguous problems into well-scoped, measurable data science solutions.
- Document methodology and models clearly; communicate findings to both technical and non-technical audiences.
What they are looking for
- 1 to 4 years of work experience in data science, machine learning, or a similar role (strong internships and projects count).
- Proficiency in Python, SQL, Spark/PySpark, Artificial Intelligence, and Machine Learning.
- Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, computer science, or another biological/physical science.
- Knowledge of statistics and machine learning: regression, classification, clustering, and model evaluation.
- Ability to manipulate, analyze, and interpret large datasets.
- Strength in code documentation.
- Proficiency in Git and code versioning tools (GitLab).
- Proficiency in the Atlassian Suite such as JIRA and Confluence.
- Familiarity with cloud computing (AWS, Google Cloud preferred; Azure also relevant).
- Knowledge of dashboarding and visualization tools (Tableau, Power BI, Plotly, Spotfire).
- Strong problem-solving and analytical skills, you can break an ambiguous business problem into a working system.
Benefits
- Health insurance
- Generous leave policy
- Learning and development budget
- Team events and company offsites
- Company laptop and devices
- Maternity and paternity benefits
Machine LearningDeep LearningData ScienceArtificial IntelligenceA/B TestingFeature EngineeringDimensionality ReductionAnomaly DetectionForecastingRegressionClassificationClusteringNLPGenAILLMsPrompt EngineeringFine-tuningRAGComputer VisionOCR
Full posting text
Experience: 2 to 4 YOE