
Forefront Analytics Expert
1 week ago
Key Responsibilities:
The successful candidate will lead the development and optimization of our advanced analytics platform, focusing on time-series forecasting and measurement verification. This entails spearheading algorithm development, scientific analysis, performance enhancement, and cross-functional collaboration to deliver robust data science solutions.
The ideal candidate possesses 4+ years of experience in a data science role, with a strong emphasis on statistical and machine learning methods. Proficiency in Python programming is essential, along with expertise in large-scale data processing using PySpark or Dask and excellent communication skills.
We seek an expert data scientist with hands-on experience in time-series forecasting and/or measurement verification, who can drive real-world impact in the energy sector.
Key Requirements:
- Proven track record in developing and deploying predictive models for large-scale datasets
- Strong understanding of statistical and machine learning concepts, including linear regression, decision trees, and clustering
- Proficiency in Python programming, with experience in libraries such as NumPy, pandas, and scikit-learn
- Familiarity with big data processing frameworks like PySpark or Dask
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Bonus Points:
- Demonstrated experience in working with cloud-based platforms, such as AWS or Google Cloud
- Familiarity with SQL and database management systems
- Passion for staying up-to-date with industry trends and advancements in data science and AI
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