Scientist

• Data and Modeler II Posted on April 16, 2025 April 16, 2025 by JMJ Phillip We are seeking an innovative and analytical Scientist
• Data and Modeler II to support strategic initiatives in a leading clean energy organization.

This high-impact role applies advanced statistical techniques, machine learning models, and predictive analytics to solve complex business problems and drive data-informed decision-making across departments. Position Responsibilities Identify and scope new machine learning opportunities to improve business and operational processes. Collaborate with internal stakeholders and IT to define data requirements and secure datasets for modeling. Partner with cross-functional teams to implement and monitor model-driven solutions. Design and develop predictive models using techniques such as regression, classification, time-series, and neural networks. Build and deploy computer vision models for classification, detection, and segmentation. Conduct statistical analysis using tools such as Python, R, SAS, and SQL to derive actionable insights. Apply advanced statistical tests (e.g., ANOVA, t-tests, multivariate analyses) to validate hypotheses and support business experiments. Simulate and model scenarios to assess the impact of strategic decisions and initiatives. Explore datasets through descriptive and inferential analytics to uncover patterns and business opportunities. Use Power BI and data visualization tools (Matplotlib, seaborn, plotly) to present model findings. Communicate technical results and business implications clearly to stakeholders across all levels. Provide guidance on model tradeoffs including interpretability, complexity, and performance. Stay up to date with the latest tools, technologies, and research in machine learning, AI, and data science. Proactively introduce new methodologies to improve data-driven outcomes. Contribute to the continuous improvement of analytics practices within the organization. Prerequisites Bachelor's Degree in Data Science, Computer Science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant experience Master's Degree with 2+ years of experience PhD with 1+ year of experience in Data Science, AI, or ML algorithm development Certifications (Preferred, but not Required) or Education & Certifications Expertise in Python, SAS, R, SQL, and statistical software Proficiency in machine learning libraries (Scikit-learn, XGBoost, Keras, TensorFlow, PyTorch, Statsmodels) Familiarity with data visualization platforms (Power BI, Matplotlib, Plotly, Bokeh) Hands-on experience with machine learning pipelines, model validation, and tuning Experience in statistical experiment design and complex data interpretation What the

Role Offers Estimated Salary Range:

$75,000

• $112,000 annually Opportunity to support innovation at the intersection of clean energy and advanced analytics Collaborative work environment with opportunities for career growth and ongoing learning Full-time schedule: Monday
• Friday, 8:00 AM
• 4:00 PM Why Perrysburg?

Perrysburg offers the perfect balance of small-town charm and access to metropolitan amenities. Located just outside of Toledo, it's a growing community with excellent schools, parks, and local businesses. With a reasonable cost of living and a strong sense of community, Perrysburg is a great place to build a career while enjoying a high quality of life. Upload your resume to Apply

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