Senior Data Scientist

Mindlance; Juno Beach (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Mindlance in Florida is seeking a Senior Data Scientist to lead load and renewable generation forecasting projects. You will design and validate time-series models, integrate weather and telemetry data, and drive production deployments.

The role requires strong Python, SQL, and cloud experience, plus collaboration with data engineers and business stakeholders to deliver reliable forecasts for trading and operations. Experience transitioning research into scalable pipelines on AWS is preferred.

Qualifications

• Advanced proficiency in Python with pandas, NumPy, scikit-learn, and related libraries.
• Experience building and deploying forecasting and time-series models.
• Strong SQL skills and ability to work with weather and telemetry data feeds.

Skills

Python & data-science libraries

Forecasting / time-series modeling

Regression & time-series methods

Probabilistic forecasting

Model validation & backtesting

Weather APIs / external data

SQL

Production deployment

AWS cloud services

Git & reproducible workflows

Communication & documentation

Cross-functional collaboration

Job description

Job Title: Senior Data Scientist – Load & Renewable Generation Forecasting

Duration: 12 Months

Required Skills & Experience

• Advanced proficiency in Python and common data-science libraries such as pandas, NumPy, scikit-learn, statsmodels, LightGBM, XGBoost, or equivalent tools.
• Demonstrated experience developing and deploying forecasting, time-series, or predictive models.
• Strong knowledge of:
• Regression and time-series methods
• Probabilistic or quantile forecasting
• Model validation and backtesting
• Experience integrating and analyzing weather APIs, NWP forecasts, SCADA/telemetry, databases, and external data feeds.
• Ability to evaluate weather-provider performance and determine its impact on forecast accuracy.
• Strong SQL and data-analysis skills.
• Experience transitioning models from research and development into reliable production workflows.
• Working knowledge of AWS services such as EC2, S3, Lambda, ECS, Step Functions, CloudWatch, and SageMaker, or comparable cloud technologies.
• Experience with Git, version control, testing, and reproducible software-development practices.
• Strong troubleshooting, analytical, communication, and documentation skills.
• Ability to work independently while collaborating effectively with data scientists, data engineers, DevOps, operations, trading, and business stakeholders.

Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.