Data Analyst and Insights Specialist
7 days ago
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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