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Brillio 2

Data Scientist

Original listing title: Data Scientist - R01571773

Data Science
Pune, Maharashtra, IndiaHybridEmployee

About this role

Data Scientist

Job requirements

Experience Range: With at least 4 years of experience in advanced data science, statistical analysis, and machine learning model development, including hands-on work with large datasets and production model deployment. Key Responsibilities:
  • Design, develop, and deploy advanced statistical and machine learning models using Python, R, and specialized frameworks to address complex business challenges
  • Conduct rigorous statistical analysis, including hypothesis testing, regression analysis, and probabilistic modeling, to extract actionable insights from large-scale data
  • Implement and validate data quality checks using tools such as Great Expectations and Evidently AI to ensure data and model integrity
  • Collaborate with cross-functional teams to define data-driven strategies, translate business requirements into analytical solutions, and present findings to stakeholders
  • Develop, optimize, and maintain forecasting models using techniques such as exponential smoothing, ARIMA, and ARIMAX to support business planning
  • Build, train, and evaluate classification and regression models using ML frameworks (TensorFlow, PyTorch, Sci-Kit Learn, Keras, MXNet, CNTK)
  • Deploy and monitor models in production environments using scalable cloud-native tools such as KubeFlow and BentoML
  • Document methodologies and contribute to continuous improvement of analytics best practices
    • Required Skills:
  • Advanced proficiency in Python and PySpark for data analysis and model development
  • Expertise in statistical analysis and computing using SAS or SPSS
  • Hands-on experience with regression techniques including linear and logistic regression
  • Strong knowledge of hypothesis testing, including T-Test and Z-Test methodologies
  • Proficient in building and interpreting probabilistic graphical models
  • Experience with classification algorithms such as Decision Trees and Support Vector Machines (SVM)
  • Skilled in forecasting techniques including exponential smoothing, ARIMA, and ARIMAX
  • Familiarity with distance metrics such as Hamming, Euclidean, and Manhattan Distance
  • Working knowledge of R and R Studio for statistical modeling
  • Experience with data validation and monitoring tools such as Great Expectations and Evidently AI
    • Preferred Skills:
  • Experience deploying machine learning models using KubeFlow or BentoML
  • Proficiency with deep learning frameworks such as TensorFlow, PyTorch, Keras, MXNet, or CNTK
  • Background in cloud-based analytics platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform)
  • Exposure to automated machine learning (AutoML) workflows
    • Desired Qualifications:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline
  • Certification in Data Science or Machine Learning from a recognized provider (e.g., Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional Certificate)

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