Data Scientist

Avathon • Pleasanton, CA

4d • $95,000 - $130,000

About The Position

Join us in developing and applying cutting-edge machine learning solutions for commercial and industrial applications. As a Data Scientist, you will partner with project teams to develop and deliver customer solutions, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance . Key Focus Area: We are looking for candidates with strong expertise in forecasting and time series analysis to support our growing demand planning, power/price forecasting, and predictive analytics capabilities. You will lead all phases of the data science process from data exploration and processing, feature selection and engineering, model training and testing, to information synthesis and deployment. You will work closely with team members who have deep technical skills and a passion for clean energy and industrial optimization.

Requirements

• A strong understanding of Data Science, including basic elements of machine learning, statistics, probability, and modeling
• Strong experience with time series analysis and forecasting techniques (ARIMA, exponential smoothing, Prophet, LSTM, etc.)
• Quantitative background with experience working with time series data and strong coding skills
• Background in deep learning and neural network architectures for sequence modeling
• Experience with Data Science programming languages: Python (required), R, Matlab
• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch , with experience in at least one
• Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection
• 2+ years of experience in building machine learning models
• Experience with cloud platforms (AWS, GCP, or Azure)
• Strong written and verbal communications, ability to translate complex technical topics to stakeholders
• Ability to form strong working relationships with team members, customers’ technical teams, and executive leadership
• Degree in Computer Science, Statistics, Physics, Mathematics, Engineering, or a related field

Nice To Haves

• Graduate or Doctorate degree (or 5-8 years of equivalent experience) in one of the fields above
• Experience with one of the following areas: demand forecasting, power/price forecasting, energy market prediction , enterprise forecasting, supply demand matching
• Experience with probabilistic forecasting and uncertainty quantification
• Experience and knowledge of renewable energy technologies, especially applying data analytics techniques in the domain
• Experience with LLMs, RAG systems, and generative AI applications
• Exposure to scalable ML model deployment and MLOps practices
• Experience with knowledge graphs or graph-based analytics
• Prior experience in the energy, manufacturing, or supply chain industry
• A strong work ethic, along with the ability to prioritize and complete all job responsibilities in a timely manner

Responsibilities

• Build forecasting models for demand planning, power/price prediction, and supply chain optimization
• Develop time series models using traditional methods (ARIMA, Prophet) and modern ML approaches (LSTM, Transformers)
• Partner with project teams in developing and applying ML expertise to deliver customer solutions
• Independently and effectively engage with external technical stakeholders and subject matter experts to understand and solve critical business problems through artificial intelligence
• Design and deploy machine learning models for commercial and industrial applications, including anomaly detection, prescriptive maintenance, and optimization
• Lead all phases of the data science process from data exploration, feature engineering, model training, testing, and deployment
• Apply data mining techniques, statistical analysis, and build prediction systems
• Create automated anomaly detection systems and track performance
• Communicate complex technical topics to internal and external stakeholders

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level