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Job Type

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Job Description

Job Title: Data Scientist

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Experience:


Responsibilities

  • Apply statistical analysis, machine learning, and predictive modeling to develop business-driven solutions.
  • Build and optimize models for classification, regression, and causal inference.
  • Work with supervised learning methods including XGBoost, Ridge, ElasticNet, and Neural Networks.
  • Design and implement predictive analytics models for real-world use cases.
  • Apply causal inference and optimization techniques to derive actionable insights.
  • Collaborate with cross-functional teams (data engineers, business analysts, stakeholders) to integrate models into production systems.
  • Perform model validation, performance evaluation, and tuning to ensure scalability and accuracy.
  • Communicate findings and insights effectively to both technical and non-technical stakeholders.


Qualifications


  • 4 – 7 years total experience in Data Science.
  • 4+ years relevant experience in Data Science.


Required Skills


  • Strong knowledge in Machine Learning & Predictive Analytics.
  • Hands-on experience with models: XGBoost, Ridge Regression, ElasticNet, Neural Networks.
  • Expertise in causal inference and optimization methodologies.
  • Proficiency in Python/R for statistical modeling and data manipulation.
  • Experience with SQL and working with large datasets.
  • Solid understanding of statistical concepts, data visualization, and feature engineering.


Preferred Skills

  • Exposure to cloud-based ML platforms (AWS, Azure, GCP).
  • Knowledge of MLOps and deployment of models into production.
  • Familiarity with Big Data tools (Spark, Hadoop).

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