Hybrid Data Scientist – Solutions

Posted last month

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About the role

  • Extract, clean, and analyze large datasets from multiple sources using SQL and Python/R
  • Build and optimize data scraping pipelines to process large-scale unstructured data
  • Perform statistical analysis and data mining to identify trends, patterns, and anomalies
  • Develop automated workflows for data preparation and transformation
  • Conduct data quality checks and implement validation procedures
  • Build and validate ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas
  • Apply feature engineering to enhance accuracy and interpretability
  • Execute experiments, apply cross-validation, and benchmark model performance
  • Collaborate on A/B testing frameworks to validate hypotheses
  • Work on predictive analytics for wildfire risk detection and storm damage assessment
  • Translate complex business requirements into data science solutions
  • Develop predictive models and analytical tools that directly support CRIS decision-making
  • Create interactive dashboards and automated reports for stakeholders
  • Document methodologies and maintain clean, production-ready code repositories

Requirements

  • 4–5 years of hands-on experience in data science, analytics, or quantitative research
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field
  • Strong programming skills in Python for data analysis and machine learning
  • Proficiency in SQL and experience with relational databases
  • Experience with ML libraries (scikit-learn, pandas, NumPy, Keras, TensorFlow)
  • Knowledge of statistical methods (clustering, regression, classification) and experimental design
  • Familiarity with data visualization tools (matplotlib, seaborn, ggplot2, Tableau, or similar)
  • Exposure to cloud platforms (AWS, GCP, Azure) is a plus
  • Proven experience with end-to-end model development (from data exploration to deployment)
  • Track record of delivering actionable insights that influenced business decisions
  • Strong analytical and problem-solving skills with attention to detail

Job title

Data Scientist – Solutions

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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