What are the responsibilities and job description for the Senior Data Scientist position at Kforce Technology Staffing?
RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Scientist in Juno Beach, FL.
Overview:
The primary focus of this role will be Wind generation forecasting, while also providing technical support across Solar and Load forecasting initiatives.
This is a hands-on role combining forecasting, meteorology, renewable-energy analytics, machine learning, data engineering, and production support. The successful candidate will independently develop and improve forecasting models from data exploration and feature engineering through validation, deployment, monitoring, and ongoing optimization.
A key responsibility will be evaluating and optimizing the use of weather and Numerical Weather Prediction (NWP) providers. The candidate will compare provider accuracy, available variables, forecast horizons, geographic coverage, latency, reliability, and overlap between services to determine the most effective weather inputs for each forecasting application. This includes identifying where individual providers or weather features perform better under specific conditions and identifying opportunities to reduce unnecessary provider redundancy while maintaining forecast accuracy and resiliency.
The ideal candidate combines strong statistical and machine-learning skills with practical understanding of the meteorological, physical, and operational factors affecting renewable generation and electric demand.
Key Responsibilities:
Forecasting & Model Development:
* Develop and enhance Wind, Solar, and Load forecasting models from research and backtesting through production implementation
Build forecasting approaches using combinations of:
* Weather and NWP forecasts
* Historical generation and load
* SCADA and operational telemetry
* Persistence and statistical baselines
* Physical relationships
REQUIREMENTS:
* 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:
* Feature engineering
* Regression and time-series methods
* Gradient boosting
* Ensemble forecasting
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client that is seeking a Senior Data Scientist in Juno Beach, FL.
Overview:
The primary focus of this role will be Wind generation forecasting, while also providing technical support across Solar and Load forecasting initiatives.
This is a hands-on role combining forecasting, meteorology, renewable-energy analytics, machine learning, data engineering, and production support. The successful candidate will independently develop and improve forecasting models from data exploration and feature engineering through validation, deployment, monitoring, and ongoing optimization.
A key responsibility will be evaluating and optimizing the use of weather and Numerical Weather Prediction (NWP) providers. The candidate will compare provider accuracy, available variables, forecast horizons, geographic coverage, latency, reliability, and overlap between services to determine the most effective weather inputs for each forecasting application. This includes identifying where individual providers or weather features perform better under specific conditions and identifying opportunities to reduce unnecessary provider redundancy while maintaining forecast accuracy and resiliency.
The ideal candidate combines strong statistical and machine-learning skills with practical understanding of the meteorological, physical, and operational factors affecting renewable generation and electric demand.
Key Responsibilities:
Forecasting & Model Development:
* Develop and enhance Wind, Solar, and Load forecasting models from research and backtesting through production implementation
Build forecasting approaches using combinations of:
* Weather and NWP forecasts
* Historical generation and load
* SCADA and operational telemetry
* Persistence and statistical baselines
* Physical relationships
REQUIREMENTS:
* 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:
* Feature engineering
* Regression and time-series methods
* Gradient boosting
* Ensemble forecasting
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Salary : $78 - $82