Florida Staffing
Data Scientist
As a Data Scientist, you will play a crucial role in developing and deploying machine learning models to analyze complex datasets and identify trends that will drive strategic decisions. You will work closely with cross-functional teams to integrate these models into our production environment, ensuring they deliver actionable insights and add value to our business. Key Responsibilities: Develop, test, and deploy machine learning models to solve business problems in the energy sector. Analyze large datasets to identify trends, patterns, and opportunities for improvement. Collaborate with engineering and product teams to integrate models into production systems. Use statistical analysis and data visualization techniques to communicate findings to stakeholders. Continuously monitor and refine models to ensure accuracy and relevance. Stay up-to-date with the latest advancements in data science and machine learning. Pay Rate: $35-40/hr We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. Skills and Requirements: Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. Proven experience in developing and deploying machine learning models in a production environment. Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong analytical and problem-solving skills. Excellent communication skills and the ability to work collaboratively in a team environment. Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of data visualization tools (e.g., Tableau, Power BI). Experience in the energy industry is highly desirable.
As a Data Scientist, you will play a crucial role in developing and deploying machine learning models to analyze complex datasets and identify trends that will drive strategic decisions. You will work closely with cross-functional teams to integrate these models into our production environment, ensuring they deliver actionable insights and add value to our business. Key Responsibilities: Develop, test, and deploy machine learning models to solve business problems in the energy sector. Analyze large datasets to identify trends, patterns, and opportunities for improvement. Collaborate with engineering and product teams to integrate models into production systems. Use statistical analysis and data visualization techniques to communicate findings to stakeholders. Continuously monitor and refine models to ensure accuracy and relevance. Stay up-to-date with the latest advancements in data science and machine learning. Pay Rate: $35-40/hr We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. Skills and Requirements: Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. Proven experience in developing and deploying machine learning models in a production environment. Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong analytical and problem-solving skills. Excellent communication skills and the ability to work collaboratively in a team environment. Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of data visualization tools (e.g., Tableau, Power BI). Experience in the energy industry is highly desirable.