Remote Senior Data Scientist — Energy Analytics Leader

Placements24; Willows (CA); Remoto; USD 71.000 - 106.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary with bonuses

Health benefits

Remote work from SA

Professional development budget

Descrizione del lavoro

Placements24 is seeking a Remote Senior Data Scientist for a leading energy-industry client. You will design ML models, process large energy datasets, and deploy analytics in production, leveraging Spark, Hadoop, Python/R to extract actionable insights.

The role emphasizes independent, mentorship-oriented work, cross-functional collaboration, and the ability to influence energy market decisions with advanced analytics.

Competenze

• 5+ years of professional data science experience with ML and statistics.
• Proficient in Python or R and ML libraries.
• Experience with big data tools such as Spark and Hadoop.

Mansioni

• Design and implement ML models and statistical analyses for energy data.
• Process large datasets and build analytical pipelines.
• Identify trends to inform business decisions and optimize operations.
• Collaborate with engineers and stakeholders to deploy solutions.
• Mentor junior data scientists and contribute to team growth.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated on ML and AI advancements and assess applicability.
• Develop production-ready analytics solutions.

Conoscenze

5+ years data science experience

Remote work capable

Strong communication skills

Mentor junior data scientists

Problem solving

Formazione

Master's or Ph.D. in Data Science/CS/Statistics/Math/Physics

Strumenti

Spark

Hadoop

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

Descrizione del lavoro

Placements24 is seeking a Remote Senior Data Scientist for a leading energy-industry client. You will design ML models, process large energy datasets, and deploy analytics in production, leveraging Spark, Hadoop, Python/R to extract actionable insights.

The role emphasizes independent, mentorship-oriented work, cross-functional collaboration, and the ability to influence energy market decisions with advanced analytics.