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Data Scientist - Energy Analytics

Job in Waukee, Dallas County, Iowa, 50263, USA
Listing for: Placements24
Full Time position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 55000 - 79000 USD Yearly USD 55000.00 79000.00 YEAR
Job Description & How to Apply Below
About the Role

Our client is seeking a talented Data Scientist with a passion for energy analytics to join their innovative team in Paarl . In this role, you will leverage vast datasets to uncover insights, build predictive models, and develop data-driven solutions that optimize energy generation, distribution, and consumption. You will work closely with engineering, operations, and business units to translate complex data into actionable strategies, driving efficiency and sustainability within the Western Cape 's energy landscape.

Key Responsibilities
  • Collect, clean, and process large datasets from various energy-related sources (e.g., smart meters, grid sensors, market data).
  • Develop and deploy machine learning models for tasks such as load forecasting, anomaly detection, and energy demand prediction.
  • Perform statistical analysis and data visualization to identify trends, patterns, and insights.
  • Collaborate with domain experts to define analytical problems and design appropriate solutions.
  • Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
  • Contribute to the development of data infrastructure and analytical tools.
Requirements
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
  • Minimum of 4 years of professional experience as a Data Scientist, with a focus on energy data .
  • Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, Scikit-learn, Tensor Flow).
  • Experience with SQL databases and big data technologies (e.g., Spark, Hadoop).
  • Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
  • Excellent analytical and problem-solving abilities.
Benefits
  • Competitive salary and annual bonus based on individual and company performance.
  • Comprehensive health, dental, and vision insurance.
  • Opportunities for continuous learning and professional growth in a rapidly evolving field.
  • A dynamic and collaborative work environment focused on innovation.
  • Contribute meaningfully to the efficiency and sustainability of the energy sector .
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