Role overview
We are seeking a highly skilled Sr. Staff Data Scientist with deep expertise in time series forecasting and MLOps to join our Grid Energy & Analytics team. This role sits at the intersection of statistical modeling, machine learning, and production of ML systems, with a strong emphasis on building reliable, scalable forecasting solutions that operate in real‑world, high‑stakes environments.
The ideal candidate is a hands‑on technical leader who can own forecasting problems from data preprocessing and feature engineering to model development, deployment, monitoring, and lifecycle management. You will play a key role in shaping our forecasting platform, improving model performance at scale, and establishing best‑in‑class MLOps practices that enable rapid experimentation while ensuring production reliability and governance on scale.
What you'll work on
Times Series Forecasting & Modeling**
- Design, develop, and deploy high‑quality time series forecasts for energy market prices, ancillary services, energy demand, and renewable generation (e.g., solar PV and wind).
- Apply a broad range of forecasting methodologies, including classical statistical models, machine learning, and deep learning approaches, selecting methods appropriate to data regimes and business constraints.
- Lead feature engineering efforts incorporating calendar effects, weather signals, exogenous drivers, and regime changes.
- Establish rigorous model evaluation, backtesting, and benchmarking frameworks to ensure accuracy, robustness, and stability over time.
What we're looking for
- Experience with energy systems, electricity markets, or infrastructure forecasting, including demand, pricing, or renewable generation.
- Familiarity with power systems concepts such as unit commitment, economic dispatch, or grid constraints.
- Prior experience designing or contributing to forecasting platforms or shared ML infrastructure.
- Exposure to large‑scale data pipelines, streaming or batch processing, and data quality frameworks.
- Experience collaborating across data science, software engineering, and operations teams in a production environment.
Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world´s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology & Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.
PHYSICAL, MENTAL & ENVIRONMENTAL DEMANDS:
To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements normally expected to perform regular job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.
Mobility
Standing
20% of time
Sitting
70% of time
Walking
10% of time
Strength
Pulling
up to 10 Pounds
Pushing
up to 10 Pounds
Carrying
up to 10 Pounds
Lifting
up to 10 Pounds