[Remote] Sr. Data Scientist, Energy Systems

Note: The job is a remote job and is open to candidates in USA. Qcells North America is a leading photovoltaic manufacturer seeking a highly skilled Senior Data Scientist to join their Grid Energy & Analytics team. The role focuses on developing reliable forecasting solutions using statistical modeling and machine learning, while also establishing best practices for MLOps in production environments.ResponsibilitiesDesign, 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 constraintsLead feature engineering efforts incorporating calendar effects, weather signals, exogenous drivers, and regime changesEstablish rigorous model evaluation, backtesting, and benchmarking frameworks to ensure accuracy, robustness, and stability over timeArchitect, build, and maintain end‑to‑end MLOps pipelines, covering data validation, training, versioning, deployment, monitoring, and retrainingEnsure forecasting systems are scalable, observable, and reliable in production, with clear SLAs, alerting, and rollback strategiesPartner in the design and evolution of an internal forecasting platform that supports the full machine learning lifecycle and multi‑model production hostingImplement best practices for model governance, reproducibility, experiment tracking, and lineageConduct applied research to identify new modeling techniques, architectures, and tooling that improve forecast accuracy, latency, and operational efficiencyTranslate research ideas into production‑ready solutions, balancing innovation with maintainabilityInfluence technical roadmap decisions related to forecasting systems, data platforms, and MLOps standardsWork closely with engineering, product, and domain experts to ensure forecasting solutions deliver measurable business and operational impactIncorporate energy system constraints and domain knowledge into models to ensure outputs are physically meaningful and actionableSupport production operations by troubleshooting issues, analyzing model degradation, and continuously improving system performanceSkillsMaster's or Ph.D. in statistics, machine learning, applied mathematics, computer science, or a related quantitative field1-2 years of hands‑on experience in data science or machine learning, with significant exposure to time series forecasting in productionStrong proficiency in Python and experience writing production‑quality, maintainable code using modern software engineering practicesDeep theoretical and practical knowledge of time series methods, including statistical, regression‑based, and deep learning approachesDemonstrated experience building and operating ML systems in production, including CI/CD for models, monitoring, and lifecycle managementExperience with cloud‑hosted platforms (preferably Azure / Fabric), containerization, and distributed computeProficiency with core data science and ML libraries such as pandas, numpy, statsmodels, sklearn, xgboost, lightgbm, pytorch, keras, and modern forecasting libraries (e.g., Nixtla)Strong problem‑solving skills, ownership mindset, and ability to operate effectively in ambiguous, real‑world environmentsTravel may be required up to 10%, depending on business needsExperience with energy systems, electricity markets, or infrastructure forecasting, including demand, pricing, or renewable generationFamiliarity with power systems concepts such as unit commitment, economic dispatch, or grid constraintsPrior experience designing or contributing to forecasting platforms or shared ML infrastructureExposure to large‑scale data pipelines, streaming or batch processing, and data quality frameworksExperience collaborating across data science, software engineering, and operations teams in a production environmentCompany OverviewQcells is a renowned complete energy solutions provider in solar cell and module, energy storage, downstream project business and energy retail. It was founded in undefined, and is headquartered in Irvine, California, US, with a workforce of 501-1000 employees. Its website is http://www.qcells.com/us.Company H1B SponsorshipQcells North America has a track record of offering H1B sponsorships, with 3 in 2026, 11 in 2025, 14 in 2024, 8 in 2023, 15 in 2022, 4 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.