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India

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Freelance Opportunity: Statistician – Predictive Modeling & Advanced Analytics (Remote | ₹70,000/month) 📅 Duration: 3-Month Contract (Renewable) 💰 Compensation: ₹70,000/month (net, based on deliverables) We’re hiring a freelance statistician who loves building powerful predictive models using advanced statistical and machine learning techniques. If you’re skilled in Bayesian modeling , clustering algorithms , and discrete choice models , and enjoy solving complex real-world problems, we’d love to work with you! 🔍 What You'll Work On: Bayesian probabilistic models (PyMC3, Stan, etc.) Advanced regression (GLM, regularized, hierarchical) Clustering algorithms: AHC, KNN, LCA, SVM, SOM Discrete Choice Modeling: MNL, Nested Logit, Mixed Logit ML techniques for prediction, segmentation, classification Clear documentation and delivery of code + insights ✅ What We’re Looking For: Postgrad in Statistics, or Mathematics field - This is a must have, preferably from ISI or such Institutes. Strong in Python and/or R (esp. NumPy, pandas, scikit-learn) Practical experience with Bayesian tools, ML libraries Bonus if you’ve worked in consumer research or behavior modeling Self-driven, reliable, and outcome-focused 📌 How It Works: Remote, freelance contract Work independently with regular check-ins Monthly payment based on pre-agreed deliverables Show more Show less

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0.0 - 7.0 years

0 Lacs

Noida, Uttar Pradesh

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Data Engineer – GCP & PySpark (Iceberg/BigQuery) || 4-7 years Location: Noida (In-office/Hybrid; client site if required) Experience: 4–7 years Type: Full-Time | Immediate Joiners Preferred Client: Leading Canadian-based Tech Company Must-Have Skills: GCP (BigQuery, Dataflow, Dataproc, Cloud Storage) PySpark / Spark – Distributed computing expertise Apache Iceberg (preferred), Hudi, or Delta Lake Role Overview: Be part of a high-impact Data Engineering team focused on building scalable, cloud-native data pipelines. You'll support and enhance EMR platforms using DevOps principles , helping deliver real-time health alerts and diagnostics for platform performance. Key Responsibilities: Provide data engineering support to EMR platforms Design and implement cloud-native, automated data solutions Collaborate with internal teams to deliver scalable systems Continuously improve infrastructure reliability and observability Technical Environment: Databases: Oracle, MySQL, MSSQL, MongoDB Distributed Engines: Spark/PySpark, Presto, Flink/Beam Cloud & Infra: GCP (preferred), AWS (nice-to-have), Terraform Big Data Formats: Iceberg, Hudi, Delta Tools: SQL, Data Modeling, Palantir Foundry, Jenkins, Confluence Bonus: Stats/math tools (NumPy, PyMC3), Linux scripting Ideal for engineers with cloud-native, real-time data platform experience — especially those who have worked with EMR and modern lakehouse stacks. Job Type: Full-time Pay: Up to ₹1,000,000.00 per year Application Question(s): What is your notice period (in Days)? What is your current annual compensation (in INR)? What is your expected annual salary (in INR)? Experience: GCP services like BigQuery, Dataflow, or Dataproc: 7 years (Required) developing or maintaining Spark or PySpark jobs: 7 years (Required) Apache Iceberg : 7 years (Required) EMR or similar big data platforms: 7 years (Required) Terraform projects: 7 years (Required) SQL development and data modeling: 7 years (Required) Location: Noida, Uttar Pradesh (Required) Work Location: In person

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