Data Analyst and Insights Specialist

7 days ago


Silver Spring, Maryland, United States Steel Point Solutions Full time
Job Summary

The Data Scientist position at Steel Point Solutions offers a unique opportunity to leverage data analysis and machine learning skills to drive business growth and improve decision-making.

This role involves developing data models, performing statistical analyses, and creating data visualizations to inform strategic objectives and enhance business capabilities.

As a key member of our team, you will collaborate with cross-functional teams to understand business needs, develop data-driven solutions, and ensure the successful implementation of data analytics projects.

Key Responsibilities:
  • Data Analysis and Modeling
    • Analyze complex datasets to identify trends, patterns, and insights.
    • Develop and implement predictive models and algorithms.
    • Conduct exploratory data analysis to inform business decisions.
  • Statistical Analysis
    • Perform statistical analyses to support business objectives.
    • Ensure the accuracy and validity of data analyses and models.
  • Data Visualization
    • Create and present data visualizations to communicate insights effectively.
    • Develop dashboards and reports for stakeholders.
  • Cross-Functional Collaboration
    • Work with business stakeholders to understand data requirements and objectives.
    • Collaborate with data engineers, analysts, and other team members to develop data solutions.
  • Data Management
    • Ensure data quality, integrity, and security in all data activities.
    • Manage and preprocess data for analysis and modeling.
  • Continuous Improvement
    • Stay updated with the latest advancements in data science and analytics.
    • Implement best practices and innovative techniques in data analysis.

**Required Qualifications:**

  • Bachelor's degree in Atmospheric Science, Meteorology, Climate/Earth Systems Science, or similar fields
  • 3+ years of meteorological data experience: retrieval and processing of large reanalysis and forecast datasets, creation of derived meteorological variables and analyses from raw data (e.g., CAPE, wind shear, heat index), quality control of weather data
  • Experience with statistical and machine learning models, demand prediction, just-in-time delivery modeling, and WRF modeling
  • Ability to work with large, multi-dimensional data (e.g., netCDF, GRIB, TIFF files)
  • Knowledge of weather forecasting and analysis, hazardous event forecasting (e.g., severe thunderstorms, wildfires, lake-effect snow) required
  • Python knowledge and experience required
  • Willingness to travel up to 20-40% to Silver Spring, MD

**Estimated Salary Range:** $133,278 - $157,903 USD



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