Data scientist jobs in Port Saint Lucie, FL - 22 jobs

NextEra Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us! Position Specific Description NextEra Energy is a Fortune 200 company that owns Florida Power & Light Company, the largest electric utility in the United States, serving approximately 12 million residents in Florida. Our diverse energy portfolio includes natural gas, nuclear, renewable energy, and battery storage solutions. With a strong commitment to meeting America's evolving energy needs sustainably, NextEra Energy Resources, LLC, is a leader in energy infrastructure development. Ready to make a meaningful impact? Join our team to elevate your career. The Principal Geospatial Data Scientist for the Enterprise NEE.GIS Geospatial DataOps team will drive innovation by integrating cutting-edge data science methodologies, including machine learning (ML), deep learning (DL), and artificial intelligence (AI), into geospatial analytics. This role involves leading cross-functional teams to design, build, and deliver advanced geospatial data and analytics solutions, enhancing operational efficiency and strategic decision-making. We place a strong emphasis on expertise in current technologies and processes, coupled with a proven track record of innovation. Ideal candidates will have extensive experience in geospatial data management and analytics, and demonstrate a passion for developing groundbreaking analyses, processes, or tools utilizing advanced data science techniques. Key Responsibilities The Principal Geospatial Data Scientist leads complex geospatial data projects by deploying advanced analytical techniques and modeling. This role involves transforming raw spatial data into strategic insights to drive decision-making and business innovation. * Acquire and preprocess geospatial data from diverse sources, including satellite imagery, GIS, vendors, and governmental agencies; automate workflows where feasible. * Develop and apply sophisticated statistical models and machine learning algorithms to perform large-scale spatial data analyses. * Design and implement dynamic visualizations-apps, dashboards, maps, and charts-to effectively communicate geospatial insights to non-technical audiences. * Collaborate with cross-functional stakeholders to discern data requirements and develop tailored solutions. * Construct predictive models to forecast spatial trends and patterns; continuously refine and advance model efficacy. * Synthesize varied data sources into unified geospatial datasets; ensure data integrity through routine audits and quality assurance. * Stay abreast of cutting-edge geospatial analytics techniques and GIS technology advancements. * Innovate by exploring new data sources and methodologies within geospatial analysis. * Perform additional job-related duties as necessary. Preferred Qualifications: * Possess expert knowledge of coordinate reference systems, including their reprojections and conversions, with a focus on understanding the implications of accuracy and performance impact on large-scale geospatial data analytics. * Proven experience in national or global scale data analysis and modeling. * Proficient in programming languages, notably Python; familiarity with version control systems like Git and Agile methodologies. * Expertise in Safe Software FME and Esri Enterprise GIS platforms, as well as cloud computing environments like AWS, leveraging Kubernetes. * Extensive experience with machine learning, deep learning, and artificial intelligence applications. * Ability to coordinate multifaceted analysis projects with various subject matter experts to achieve cost-effective and competitive outcomes. * Background in the Energy sector, particularly in Oil & Gas, Renewables, or Utilities. Desired Qualifications * GISP and/or ASPRS CMS Certifications * DASCA or similar certification * Master's Degree * Doctoral Degree * Experience: 10+ years Job Overview

We are from US IT Solutions, an ISO Certified, E-Verify, WMBE Certified organization established in 2005 in CA. Our company is serving various State, Local and County Departments for over 10 years. USITSOL has been helping clients innovate across all phases of the application lifecycle for over a decade. Some of our prestigious clients are State of CA, State of OR, State of FL, State of NC, State of GA, State of CO, State of VA, State of AR, State of MI, State of OH, State of IL, State of MO, State of MS, California State University, Sacramento Area Sanitation Department, SMUD, Sound Transit, LA Superior Courts, District of Columbia, UMAS, University of Central Florida and Hennepin County and many more. Job Description We are looking for Data Scientist in Juno Beach FL. Responsibilities: • Responsible for all activities associated with the administration of either mainframe or distributed computerized databases; • Design, implement, maintain and monitors databases; • Develop documents and implements guidelines, standards and procedures, maintenance of database dictionaries, and integration of systems through database design; • Develop machine learning, optimization and other modeling solutions; • Prepare comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses; • Research meteorological and climate influences on wind and solar generation, including forecasting techniques and applications; • Perform other job-related duties as assigned Qualifications Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

Voloridge Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We develop advanced tools to deliver predictive, personalized insights to empower individuals and organizations to make data-driven decisions, promoting longer, healthier lives. Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its sister company, Voloridge Investment Management, as an award-winning quantitative hedge fund. Data Science is at the core of our business. We are seeking Data Scientists who have dedicated themselves to excellence in quantitative disciples such as mathematics, statistics or physics and who share our mission of improving health outcomes through data science. If you are eager to collaborate with a world-renowned team Voloridge Health could be the home for you. Summary of Job Functions Building and evaluating modern numerical/modeling techniques Working daily with complex, large-scale datasets Collaborative research projects requiring deep thinking, technical skills, and ingenuity Keeping abreast of the latest research related to applications of machine learning to health Minimum Requirements Deep understanding of modern machine learning techniques and algorithms Must demonstrate exceptional aptitude in descriptive and inferential statistics Extremely detail-oriented and self-motivated Experience with time series data Extensive experience working with large data Creative thinker and self-learner, able to demonstrate extraordinary critical thinking and analytical skills Competent skills in programming languages such as Python, R, C/#/++ Ability to communicate actionable results with present senior leadership Advanced degree in Physics, Statistics, Mathematics or other quantitative disciplines or equivalent experience Ability to work onsite in our Jupiter, FL office Preferred Skills and Previous Experience Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc. Experience with relational SQL databases Benefits Relocation assistance available for the right candidate Highly competitive base salary Health, dental, vision, life, and disability insurance 401K Voloridge Health is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Job Description We are looking to fill a position for Data Scientist in Juno Beach FL. Qualifications • Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

Voloridge Investment Management was founded by David Vogel in 2009 and is based in Jupiter, FL. We incorporate advanced data science and mathematics into our systematic, market neutral investment strategies to exploit alpha opportunities we consider unique in financial markets. Our firm is comprised of award-winning predictive modelers, experienced data analysts, advanced technologists, and a group of dynamic business professionals. Data Science is at the core of our business. Our Data Scientists have dedicated themselves to excellence in applied quantitative disciplines such as mathematics, statistics and physics. We are seeking Senior Data Scientists to join us in our attempt to solve the extremely challenging problem of modeling and predicting the financial markets using sophisticated machine learning techniques. If you are passionate about collaborating with a world-renowned team of Data Scientists, Engineers and Researchers Voloridge could be the home for you. You will work alongside prominent Data Scientists, Kaggle Grandmasters and a KDD cup winner at an award-winning investment management firm managing over $8B in assets. We reward our employees with an exceptional compensation package that includes wealthy benefit plans and profit-sharing bonuses. Our office in beautiful Jupiter, Florida has water views, fully stocked kitchens with fresh fruit, snacks and salad bars, lounge and gaming areas, onsite massage rooms, free garage parking and more. We seek out only the best of the best talent to join our brilliant, collaborative, and hard-working team and boast a retention rate of 92%. Summary of Job Functions Building and evaluating modern numerical/modeling techniques Working daily with complex, large-scale datasets Collaborative research projects requiring deep thinking, technical skills, and ingenuity Keeping abreast of the latest research related to data science Minimum Requirements Deep understanding of modern machine learning techniques and algorithms Must demonstrate exceptional aptitude in descriptive and inferential statistics Extremely detail-oriented and self-motivated Experience with time series data Extensive experience working with large data Creative thinker and self-learner, able to demonstrate extraordinary critical thinking and analytical skills Competent skills in programming languages such as Python, R, C/#/++ Ability to communicate actionable results with present senior leadership Advanced degree in Physics, Statistics, Mathematics or other quantitative disciplines or equivalent experience Ability to work onsite in our Jupiter, FL office Preferred Skills and Previous Experience Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc. Experience with relational SQL databases Compensation and Benefits Relocation assistance available for the right candidate Highly competitive base salary Profit sharing bonus Health, dental, vision, life, and disability insurance 401K Voloridge Investment Management is an SEC registered investment advisor and an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Voloridge Investment Management was founded by David Vogel in 2009 and is based in Jupiter, FL. We incorporate advanced data science and mathematics into our systematic, market neutral investment strategies to exploit alpha opportunities we consider unique in financial markets. Our firm is comprised of award-winning predictive modelers, experienced data analysts, advanced technologists, and a group of dynamic business professionals. Data Science is at the core of our business. Our Data Scientists have dedicated themselves to excellence in applied quantitative disciplines such as mathematics, statistics and physics. We are seeking Senior Data Scientists to join us in our attempt to solve the extremely challenging problem of modeling and predicting the financial markets using sophisticated machine learning techniques. If you are passionate about collaborating with a world-renowned team of Data Scientists, Engineers and Researchers Voloridge could be the home for you. You will work alongside prominent Data Scientists, Kaggle Grandmasters and a KDD cup winner at an award-winning investment management firm managing over $8B in assets. We reward our employees with an exceptional compensation package that includes wealthy benefit plans and profit-sharing bonuses. Our office in beautiful Jupiter, Florida has water views, fully stocked kitchens with fresh fruit, snacks and salad bars, lounge and gaming areas, onsite massage rooms, free garage parking and more. We seek out only the best of the best talent to join our brilliant, collaborative, and hard-working team and boast a retention rate of 92%. Summary of Job Functions * Building and evaluating modern numerical/modeling techniques * Working daily with complex, large-scale datasets * Collaborative research projects requiring deep thinking, technical skills, and ingenuity * Keeping abreast of the latest research related to data science Minimum Requirements * Deep understanding of modern machine learning techniques and algorithms * Must demonstrate exceptional aptitude in descriptive and inferential statistics * Extremely detail-oriented and self-motivated * Experience with time series data * Extensive experience working with large data * Creative thinker and self-learner, able to demonstrate extraordinary critical thinking and analytical skills * Competent skills in programming languages such as Python, R, C/#/++ * Ability to communicate actionable results with present senior leadership * Advanced degree in Physics, Statistics, Mathematics or other quantitative disciplines or equivalent experience * Ability to work onsite in our Jupiter, FL office Preferred Skills and Previous Experience * Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc. * Experience with relational SQL databases Compensation and Benefits * Relocation assistance available for the right candidate * Highly competitive base salary * Profit sharing bonus * Health, dental, vision, life, and disability insurance * 401K Voloridge Investment Management is an SEC registered investment advisor and an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Job DescriptionSenior Data Scientist - Energy Trading & AnalyticsOverview Our client is a leading energy company seeking an experienced IT Software Developer Analyst with deep expertise in Data Science, Analytics, and Machine Learning for Power Commodity Trading. This is an exciting 12-month contract opportunity based in Juno Beach, FL, offering competitive compensation of up to $43/hour for professionals with 6-10 years of experience. Key Responsibilities Develop and deploy production-grade machine learning and analytics systems for power commodity trading operations Build sophisticated forecasting models for price, load, and renewable generation using time series analysis and advanced ML techniques Implement agentic AI frameworks and autonomous decision systems for trading support Create intelligent trading assistants using LLMs and RAG pipelines for market insights and report automation Design and maintain data infrastructure including ETL/ELT pipelines and data warehouses Develop optimization and scenario modeling solutions for trading positions and risk management Build comprehensive dashboards and visualization tools for market analysis Integrate weather data, grid conditions, and market signals into predictive systems RequirementsEducation & Experience: Master's or PhD in Data Science, Computer Science, Finance, Engineering, or Applied Mathematics 5+ years of experience in machine learning or advanced analytics At least 2 years of experience in energy, power, or commodities markets Technical Skills: Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL Experience with cloud platforms (AWS, Azure, or GCP) for ML deployment Strong foundation in statistics, linear algebra, and optimization Experience with LLMs (GPT, Llama, Mistral) and RAG pipelines Proficiency in agentic AI frameworks (LangChain, LlamaIndex, CrewAI) Time series modeling expertise (ARIMA, Prophet, LSTM, XGBoost) Data engineering skills with tools like dbt, Airflow, Prefect Experience with data warehouses (DataBricks, Snowflake) Domain Knowledge: Understanding of power market dynamics and ISO/RTO markets (PJM, ERCOT, MISO, CAISO) Familiarity with trading instruments: DA/RT markets, FTRs, CRRs, PPAs, futures, swaps Knowledge of natural gas, renewables, and carbon markets Experience with regulatory and compliance data (FERC, EIA, ISO market data) What We Offer Competitive hourly rate of up to $43 12-month contract with potential for extension Opportunity to work with cutting-edge AI and ML technologies Exposure to complex energy trading operations Collaborative work environment with industry experts Professional development in the rapidly evolving energy sector Location: Juno Beach, FL 33408 (On-site required) Ready to advance your career in energy data science? Apply today!

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description Good Understanding on No SQL Database Minimum 2 years of experience in Cassandra Data Modelling Minimum 2 years of Experience CQL (Cassandra Query Language) Experience in Cassandra Configuration and Administration Strong Experience in Java/Spring Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of relevant experience in Information Technology. Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time.

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location:

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: * Design and build real-time market data processing systems covering global markets and multiple asset classes * Architect and implement high-performance software solutions for processing market data feeds at scale * Drive technical innovation by leveraging emerging technologies to enhance system telemetry, monitoring, and operational efficiency * Provide technical leadership and escalation support for production market data systems * Analyze system performance and design data-driven approaches to optimize market data processing workflows * Lead the design of data governance systems for tracking availability, access patterns, and usage metrics What You Will Bring: * Degree in a quantitative or technical discipline from top university and strong academic scores * Expert-level C++ proficiency with demonstrated experience in other object-oriented languages (Java, C#) * Experience with scripting languages such as Perl, Python, and shell scripting for automation and data processing * Deep experience with tick-by-tick market data processing, including data normalization, feed handling, and real-time analytic * Excellent communication skills with ability to collaborate effectively across technical and business teams * Have experience working under Linux environment Our Benefits: * Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: * twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month, * three personal days, and * ten sick days. * Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code * Training: learning and development courses, speakers, team-building off-site * Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $175,000 - $250,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Flexible Work Arrangement: Hybrid Job Category: IT Career Level: Professional Since 1967, Jet Aviation has been crafting flight in its smoothest form. From one hangar in Basel, Switzerland, to over 4,500 employees, and some 50 locations worldwide. Aircraft Management, Aircraft Sales, Charter, Completions, Government Services, FBO, Fixed and Rotary Wing Maintenance, and Staffing. Behind every seamless Jet Aviation experience, is a team of dedicated professionals perfecting the art of flight. The artisans of aviation. The craft that brings our customers' journey to life. In the hangar, on the ground, and behind the scenes. Enabling global flight, with passion. **Position Summary** The Junior Azure Data Engineer is responsible for designing, implementing, and maintaining Azure-based database solutions, ensuring optimal performance, security, and scalability. This role is ideal for someone starting their career in data, with a strong interest in building data pipelines, working with SQL and Python, and supporting data analysis initiatives. The candidate should be enthusiastic about learning Azure data services and developing their technical skills. Strong communication and teamwork skills are essential. **Minimum Requirements** + Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. + 2-3 years of experience working with Azure data services (e.g., Azure SQL, Synapse, Data Factory). + Basic understanding of Microsoft Fabric and its role in modern data architecture. + Proficiency in SQL and Python for data manipulation and automation. + Familiarity with data modeling concepts and ETL processes. + Exposure to version control systems (e.g., Git) and CI/CD practices. + Strong problem-solving skills and attention to detail. + Good communication skills and ability to work in a collaborative environment. + Relevant certifications in Azure are a plus. MS DP-700 is a strong plus. + Strong customer focus. + Flexible schedule to be able to collaborate within a Global team and stakeholders. **Main Responsibilities** + Assist in the design, implementation, and maintenance of Azure SQL Databases, Synapse Analytics, and other Azure data services. + Support data ingestion, transformation, and integration pipelines using tools such as Azure Data Factory, Azure Data Lake, and Microsoft Fabric. + Write and optimize SQL queries for data extraction and reporting. + Develop scripts and automation tools using Python to streamline data operations. + Monitor and troubleshoot database performance and data pipeline issues. + Contribute to documentation and knowledge sharing across the team. Stay updated on industry trends and best practices in Azure Synapse to continuously enhance the organization's data capabilities. + Collaborate with the Data Analytics, Governance and Automation teams to support all data and reporting related efforts. + Work closely with all lines of business (LOB) and Functional Groups (FG) to gather requirements and provide robust, scalable and reliable solutions. + Provide application and systems Support. Evaluate and resolve database contention and performance issues. + Participate and support database activities that encompass designing, sourcing, and overseeing development projects. + Represent Jet Aviation as one company internally and externally with industry groups, regulatory bodies, and the General Dynamics network. + 1 year cloud enterprise experience. **Desired Characteristics** + Understanding of data governance and security best practices. + Certification in Azure Data Engineer Associate DP - 203 / DP -700 is a strong plus. + Basic understanding of data visualization tools (Power BI, Tableau) is a plus. + Strong personal values corresponding with Jet Aviation values (Trust, Honesty, Alignment, Transparency) At Jet Aviation eligible employees can enjoy a comprehensive package that fuels your passions both inside and outside of work. Your health and well-being matter to us. That's why we offer a competitive benefit package that includes health, dental & vision insurance, matching 401(k), health savings and flexible spending accounts, short-term and long-term disability, life insurance, employee assistance programs, health and wellness awards, generous paid time off, tuition reimbursement, employee discounts and more. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Associate Azure Data Engineer Job Category: IT Career Level: Professional Since 1967, Jet Aviation has been crafting flight in its smoothest form. From one hangar in Basel, Switzerland, to over 4,500 employees, and some 50 locations worldwide. Aircraft Management, Aircraft Sales, Charter, Completions, Government Services, FBO, Fixed and Rotary Wing Maintenance, and Staffing. Behind every seamless Jet Aviation experience, is a team of dedicated professionals perfecting the art of flight. The artisans of aviation. The craft that brings our customers journey to life. In the hangar, on the ground, and behind the scenes. Enabling global flight, with passion. Position Summary The Junior Azure Data Engineer is responsible for designing, implementing, and maintaining Azure-based database solutions, ensuring optimal performance, security, and scalability. This role is ideal for someone starting their career in data, with a strong interest in building data pipelines, working with SQL and Python, and supporting data analysis initiatives. The candidate should be enthusiastic about learning Azure data services and developing their technical skills. Strong communication and teamwork skills are essential. Minimum Requirements * Bachelors degree in Computer Science, Information Systems, Engineering, or related field. * 2-3 years of experience working with Azure data services (e.g., Azure SQL, Synapse, Data Factory). * Basic understanding of Microsoft Fabric and its role in modern data architecture. * Proficiency in SQL and Python for data manipulation and automation. * Familiarity with data modeling concepts and ETL processes. * Exposure to version control systems (e.g., Git) and CI/CD practices. * Strong problem-solving skills and attention to detail. * Good communication skills and ability to work in a collaborative environment. * Relevant certifications in Azure are a plus. MS DP-700 is a strong plus. * Strong customer focus. * Flexible schedule to be able to collaborate within a Global team and stakeholders. Main Responsibilities * Assist in the design, implementation, and maintenance of Azure SQL Databases, Synapse Analytics, and other Azure data services. * Support data ingestion, transformation, and integration pipelines using tools such as Azure Data Factory, Azure Data Lake, and Microsoft Fabric. * Write and optimize SQL queries for data extraction and reporting. * Develop scripts and automation tools using Python to streamline data operations. * Monitor and troubleshoot database performance and data pipeline issues. * Contribute to documentation and knowledge sharing across the team. Stay updated on industry trends and best practices in Azure Synapse to continuously enhance the organization's data capabilities. * Collaborate with the Data Analytics, Governance and Automation teams to support all data and reporting related efforts. * Work closely with all lines of business (LOB) and Functional Groups (FG) to gather requirements and provide robust, scalable and reliable solutions. * Provide application and systems Support. Evaluate and resolve database contention and performance issues. * Participate and support database activities that encompass designing, sourcing, and overseeing development projects. * Represent Jet Aviation as one company internally and externally with industry groups, regulatory bodies, and the General Dynamics network. * 1 year cloud enterprise experience. Desired Characteristics * Understanding of data governance and security best practices. * Certification in Azure Data Engineer Associate DP 203 / DP 700 is a strong plus. * Basic understanding of data visualization tools (Power BI, Tableau) is a plus. * Strong personal values corresponding with Jet Aviation values (Trust, Honesty, Alignment, Transparency) At Jet Aviation eligible employees can enjoy a comprehensive package that fuels your passions both inside and outside of work. Your health and well-being matter to us. Thats why we offer a competitive benefit package that includes health, dental & vision insurance, matching 401(k), health savings and flexible spending accounts, short-term and long-term disability, life insurance, employee assistance programs, health and wellness awards, generous paid time off, tuition reimbursement, employee discounts and more. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Equal Employment Opportunity has been, and will continue to be, a fundamental principle at Jet Aviation, where individuals are hired, employed, recognized, and advance based upon their individual skills and abilities and without regard to an individuals race, color, national origin, age, religion, physical or mental disability status, sex, gender, sexual orientation, gender identity or expression, transgender status, genetic information, marital status, pregnancy (including childbirth, lactation and related medical conditions), status as a protected veteran or any status or characteristic protected from employment discrimination under applicable federal, state and local laws (EEO status). This policy applies to all terms and conditions of employment, including, but not limited to, recruitment and hiring, compensation, benefits, promotions, termination, layoff, recall, transfer, and opportunities for training and advancement.

**Company:** NextEra Energy **Requisition ID:** 92194 NextEra Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us! **Position Specific Description** NextEra Energy is a Fortune 200 company that owns Florida Power & Light Company, the largest electric utility in the United States, serving approximately 12 million residents in Florida. Our diverse energy portfolio includes natural gas, nuclear, renewable energy, and battery storage solutions. With a strong commitment to meeting America's evolving energy needs sustainably, NextEra Energy Resources, LLC, is a leader in energy infrastructure development. Ready to make a meaningful impact? Join our team to elevate your career. The Principal Geospatial Data Scientist for the Enterprise NEE.GIS Geospatial DataOps team will drive innovation by integrating cutting-edge data science methodologies, including machine learning (ML), deep learning (DL), and artificial intelligence (AI), into geospatial analytics. This role involves leading cross-functional teams to design, build, and deliver advanced geospatial data and analytics solutions, enhancing operational efficiency and strategic decision-making. We place a strong emphasis on expertise in current technologies and processes, coupled with a proven track record of innovation. Ideal candidates will have extensive experience in geospatial data management and analytics, and demonstrate a passion for developing groundbreaking analyses, processes, or tools utilizing advanced data science techniques. Key Responsibilities The Principal Geospatial Data Scientist leads complex geospatial data projects by deploying advanced analytical techniques and modeling. This role involves transforming raw spatial data into strategic insights to drive decision-making and business innovation. + Acquire and preprocess geospatial data from diverse sources, including satellite imagery, GIS, vendors, and governmental agencies; automate workflows where feasible. + Develop and apply sophisticated statistical models and machine learning algorithms to perform large-scale spatial data analyses. + Design and implement dynamic visualizations-apps, dashboards, maps, and charts-to effectively communicate geospatial insights to non-technical audiences. + Collaborate with cross-functional stakeholders to discern data requirements and develop tailored solutions. + Construct predictive models to forecast spatial trends and patterns; continuously refine and advance model efficacy. + Synthesize varied data sources into unified geospatial datasets; ensure data integrity through routine audits and quality assurance. + Stay abreast of cutting-edge geospatial analytics techniques and GIS technology advancements. + Innovate by exploring new data sources and methodologies within geospatial analysis. + Perform additional job-related duties as necessary. **Preferred Qualifications:** + Possess expert knowledge of coordinate reference systems, including their reprojections and conversions, with a focus on understanding the implications of accuracy and performance impact on large-scale geospatial data analytics. + Proven experience in national or global scale data analysis and modeling. + Proficient in programming languages, notably Python; familiarity with version control systems like Git and Agile methodologies. + Expertise in Safe Software FME and Esri Enterprise GIS platforms, as well as cloud computing environments like AWS, leveraging Kubernetes. + Extensive experience with machine learning, deep learning, and artificial intelligence applications. + Ability to coordinate multifaceted analysis projects with various subject matter experts to achieve cost-effective and competitive outcomes. + Background in the Energy sector, particularly in Oil & Gas, Renewables, or Utilities. **Desired Qualifications** + GISP and/or ASPRS CMS Certifications + DASCA or similar certification + Master's Degree + Doctoral Degree + Experience: 10+ years **Job Overview** This position is responsible for leading the development of algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., "Big Data"). **Job Duties & Responsibilities** + Provide thought leadership, set technical strategy, and identify possible uses of data science methods + Explain methods and results to upper-level executives + Develop machine learning, optimizations or other modeling solutions + Oversee related employee work, learn new techniques being developed + Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses + Works with big data and distributed computing platforms + Develops software and contributes to product development + Performs other job-related duties as assigned **Required Qualifications** + Bachelor's Degree + Experience: 6+ years **Preferred Qualifications** + Master's Degree + Doctoral Degree NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Clickto learn more. **Employee Group:** Exempt **Employee Type:** Full Time **Job Category:** Science, Research, and Technology **Organization:** NextEra Energy Project Management, LLC **Relocation Provided:** Yes, if applicable NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call **************. Please do not use this line to inquire about your application status. NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. NextEra Energy **does not** accept any unsolicited resumes or referrals from **any third-party recruiting firms or agencies** . Please see ourfor more information. \#LI-JN2

Our client is a leading energy company seeking an experienced IT Software Developer Analyst with deep expertise in Data Science, Analytics, and Machine Learning for Power Commodity Trading. This is an exciting 12-month contract opportunity based in Juno Beach, FL, offering competitive compensation of $43/hour for professionals with 6-10 years of experience. Key Responsibilities Develop and deploy production-grade machine learning and analytics systems for power commodity trading operations Build sophisticated forecasting models for price, load, and renewable generation using time series analysis and advanced ML techniques Implement agentic AI frameworks and autonomous decision systems for trading support Create intelligent trading assistants using LLMs and RAG pipelines for market insights and report automation Design and maintain data infrastructure including ETL/ELT pipelines and data warehouses Develop optimization and scenario modeling solutions for trading positions and risk management Build comprehensive dashboards and visualization tools for market analysis Integrate weather data, grid conditions, and market signals into predictive systems Requirements Education & Experience: Master's or PhD in Data Science, Computer Science, Finance, Engineering, or Applied Mathematics 5+ years of experience in machine learning or advanced analytics At least 2 years of experience in energy, power, or commodities markets Technical Skills: Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL Experience with cloud platforms (AWS, Azure, or GCP) for ML deployment Strong foundation in statistics, linear algebra, and optimization Experience with LLMs (GPT, Llama, Mistral) and RAG pipelines Proficiency in agentic AI frameworks (LangChain, LlamaIndex, CrewAI) Time series modeling expertise (ARIMA, Prophet, LSTM, XGBoost) Data engineering skills with tools like dbt, Airflow, Prefect Experience with data warehouses (DataBricks, Snowflake) Domain Knowledge: Understanding of power market dynamics and ISO/RTO markets (PJM, ERCOT, MISO, CAISO) Familiarity with trading instruments: DA/RT markets, FTRs, CRRs, PPAs, futures, swaps Knowledge of natural gas, renewables, and carbon markets Experience with regulatory and compliance data (FERC, EIA, ISO market data) What We Offer Competitive hourly rate of $43 12-month contract with potential for extension Opportunity to work with cutting-edge AI and ML technologies Exposure to complex energy trading operations Collaborative work environment with industry experts Professional development in the rapidly evolving energy sector Location: Juno Beach, FL 33408 (On-site required) Ready to advance your career in energy data science? Apply today!

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location:

Kforce has a client that is seeking a Data Engineer in Juno Beach, FL. Key Responsibilities: * Clean, preprocess, and transform structured and unstructured data using Python * Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data pipelines and feature engineering workflows * Work with SQL and/or cloud-based data warehouses to extract and prepare data * Collaborate with stakeholders to translate business problems into data-driven solutions * Develop and maintain analytical models and dashboards * As a Data Engineer, you will apply basic to intermediate machine learning techniques where applicable * Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed * Ensure data quality, reliability, and documentation* 3+ years of experience as a Data Engineer/Data Analyst * Experience with SQL (PostgreSQL, MySQL, Big Query, Snowflake, etc.) * Experience working with APIs and external data sources * Solid understanding of data cleaning, transformation, and feature engineering * Familiarity with data visualization tools; Matplotlib, Seaborn, Plotly, or Power BI/Tableau * Understanding of statistics and data analysis fundamentals * Strong proficiency in Python for data manipulation and analysis; Pandas, NumPy, SciPy * Strong problem-solving and communication skills Modern/Latest Tech Stack (Preferred): * Python (3.x) * Pandas, NumPy, Scikit-learn * Jupiter, VS Code * Git/GitHub * Cloud platforms: AWS/Azure/GCP * Data tools: Airflow, dbt, Spark (basic exposure) * Containerization: Docker (nice to have) Good to Have: * Hands-on experience with Machine Learning models; Regression, classification, clustering, time series * Exposure to LLMs and Generative AI; OpenAI/Azure OpenAI APIs; Prompt engineering; Embeddings, vector databases (FAISS, Pinecone, Chroma) * Experience with NLP or text analytics

Voloridge Investment Management was founded by David Vogel in 2009 and is based in Jupiter, FL. We incorporate advanced data science and mathematics into our systematic, market neutral investment strategies to exploit alpha opportunities we consider unique in financial markets. Our firm is comprised of award-winning predictive modelers, experienced data analysts, advanced technologists, and a group of dynamic business professionals. The Lead Market Data Engineer will provide leadership to a team of software and data engineers. The team is responsible for designing, building, maintaining, and supporting streaming data feed handlers and pipelines in support of ongoing company initiatives. The mission critical data produced by the team's solutions is consumed by our data scientists, researchers, and trading systems. The Lead Market Data Engineer will be a real-time streaming data feed handler and pipeline construction expert, with high standards for software performance, reliability, extensibility, maintainability, and team productivity. Summary of Job Functions Technical Leadership Lead a team of software and data engineers in technical design and coding Guide best practices for products and processes Mentor junior team members Design, build, and support new real-time streaming data feed handlers and other data pipeline solutions Maintain, enhance, and support existing streaming data feed handlers and other data pipeline solutions Ensure that designs are performant, scalable, maintainable, extensible, secure, and not overly engineered Master existing tech stacks Participate in software design, architectural discussions, and code reviews Contribute to design documentation Understand the various Agile SDLC ceremonies and common tools Stay abreast of emerging technologies, make relevant recommendations, and participate in technology modernization projects Collaboration Foster effective collaboration with other engineering teams, analysts, and stakeholders Work with Project Managers and stakeholders to document functional requirements and translate them into design specifications Participate in intern and permanent hire screening and interview processes Participate in intern guidance and mentorship Operational Support Help establish best practices for product instrumentation and monitoring Contribute to operational documentation Support deployments Communicate effectively with data vendors Participate in an on-call rotation involving triage and resolution of mission critical systems Mentor junior engineers in operational support Minimum Requirements 7+ years of experience as a data/backend engineer 5+ years of experience designing, building, and supporting real-time streaming financial market data feed handlers and distributors Extensive experience leading development and supporting of mission critical low-latency streaming feed handlers and distributors Advanced skills in one or more of these programming languages: C++, C#, Python Experience leading teams of 3 or more data engineers Experience working with data vendors and/or exchanges troubleshooting issues Strong understanding of Agile SDLC best practices, ceremonies, and tools Strong understanding of source control concepts and common tools Strong initiative, collaboration, accountability, impartiality and communication Bachelor's degree in Computer Science, Information Systems, related discipline, or equivalent experience Be able to work daily onsite in our Jupiter, FL office Preferred Skills and Experience Experience writing historical and incremental ETL/ELT data pipelines involving external data sources Experience writing containerized solutions Experience using Python libraries such as Polars, PyArrow, or DuckDB Experience with cloud-based data management solutions such as Snowflake, Redshift Experience with open-source database engines such as Clickhouse, ArcticDB, PostGreSQL Experience writing and performance tuning TSQL queries and stored procedures Experience using SQL Server productivity tools such as Red Gate, SentryOne, or Spotlight Experience with Change Data Capture solutions Experience writing design documentation such as ERDs, Data Flow Diagrams, Process Flow Diagrams Experience writing operational documentation such as Run Books Understanding of service-oriented architectures, multi-threaded, asynchronous programming models, and NUMA memory management Understanding of relational and dimensional data modeling concepts Understanding of DevOps concepts, such as unit tests and CI/CD pipelines Compensation and Benefits Highly competitive base salary Profit sharing bonus Health, dental, vision, life, and disability insurance 401K Voloridge Investment Management is an SEC registered investment advisor and an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Voloridge Investment Management was founded by David Vogel in 2009 and is based in Jupiter, FL. We incorporate advanced data science and mathematics into our systematic, market neutral investment strategies to exploit alpha opportunities we consider unique in financial markets. Our firm is comprised of award-winning predictive modelers, experienced data analysts, advanced technologists, and a group of dynamic business professionals. The Lead Market Data Engineer will provide leadership to a team of software and data engineers. The team is responsible for designing, building, maintaining, and supporting streaming data feed handlers and pipelines in support of ongoing company initiatives. The mission critical data produced by the team's solutions is consumed by our data scientists, researchers, and trading systems. The Lead Market Data Engineer will be a real-time streaming data feed handler and pipeline construction expert, with high standards for software performance, reliability, extensibility, maintainability, and team productivity. Summary of Job Functions Technical Leadership * Lead a team of software and data engineers in technical design and coding * Guide best practices for products and processes * Mentor junior team members * Design, build, and support new real-time streaming data feed handlers and other data pipeline solutions * Maintain, enhance, and support existing streaming data feed handlers and other data pipeline solutions * Ensure that designs are performant, scalable, maintainable, extensible, secure, and not overly engineered * Master existing tech stacks * Participate in software design, architectural discussions, and code reviews * Contribute to design documentation * Understand the various Agile SDLC ceremonies and common tools * Stay abreast of emerging technologies, make relevant recommendations, and participate in technology modernization projects Collaboration * Foster effective collaboration with other engineering teams, analysts, and stakeholders * Work with Project Managers and stakeholders to document functional requirements and translate them into design specifications * Participate in intern and permanent hire screening and interview processes * Participate in intern guidance and mentorship Operational Support * Help establish best practices for product instrumentation and monitoring * Contribute to operational documentation * Support deployments * Communicate effectively with data vendors * Participate in an on-call rotation involving triage and resolution of mission critical systems * Mentor junior engineers in operational support Minimum Requirements * 7+ years of experience as a data/backend engineer * 5+ years of experience designing, building, and supporting real-time streaming financial market data feed handlers and distributors * Extensive experience leading development and supporting of mission critical low-latency streaming feed handlers and distributors * Advanced skills in one or more of these programming languages: C++, C#, Python * Experience leading teams of 3 or more data engineers * Experience working with data vendors and/or exchanges troubleshooting issues * Strong understanding of Agile SDLC best practices, ceremonies, and tools * Strong understanding of source control concepts and common tools * Strong initiative, collaboration, accountability, impartiality and communication * Bachelor's degree in Computer Science, Information Systems, related discipline, or equivalent experience * Be able to work daily onsite in our Jupiter, FL office Preferred Skills and Experience * Experience writing historical and incremental ETL/ELT data pipelines involving external data sources * Experience writing containerized solutions * Experience using Python libraries such as Polars, PyArrow, or DuckDB * Experience with cloud-based data management solutions such as Snowflake, Redshift * Experience with open-source database engines such as Clickhouse, ArcticDB, PostGreSQL * Experience writing and performance tuning TSQL queries and stored procedures * Experience using SQL Server productivity tools such as Red Gate, SentryOne, or Spotlight * Experience with Change Data Capture solutions * Experience writing design documentation such as ERDs, Data Flow Diagrams, Process Flow Diagrams * Experience writing operational documentation such as Run Books * Understanding of service-oriented architectures, multi-threaded, asynchronous programming models, and NUMA memory management * Understanding of relational and dimensional data modeling concepts * Understanding of DevOps concepts, such as unit tests and CI/CD pipelines Compensation and Benefits * Highly competitive base salary * Profit sharing bonus * Health, dental, vision, life, and disability insurance * 401K Voloridge Investment Management is an SEC registered investment advisor and an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location: