Data scientist jobs in Jupiter, FL - 48 jobs

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.

Data Scientist / Analytics Lead - Gaming Focus - ONSITE S. Palm Beach County location We are seeking a highly agile Data Scientist to drive real-time insights that directly influence game performance, player behavior, and business decisions. This role requires someone who can think on their feet, connect patterns quickly, and translate data into action in a fast-moving gaming environment. What This Role Does Own game and business KPIs, from definition through ongoing optimization Build and evolve dashboards and analytics used daily by Game Design and Leadership Analyze player behavior, game performance, and experiments (A/B testing) Quickly identify trends, anomalies, and opportunities - and act on them Translate complex data into clear, compelling stories that drive decisions Partner closely with Game Designers, Product, and Management in a rapid-iteration environment What We're Looking For Strong analytical instincts and the ability to problem-solve independently Comfort working with incomplete or evolving data Experience influencing decisions, not just reporting numbers Bachelor's degree in Statistics, Applied Math, Data Science, or related field Proficiency with SQL, Tableau or Power BI, Excel, and Python or R Experience with A/B testing and performance measurement Nice to Have Experience with predictive modeling, machine learning, or AI Familiarity with gaming or online player data (slots a plus) Experience with Snowflake and modern data stacks Master's degree for senior-level candidates Why This Role Is Different This is not a back-office analytics role. Success requires speed, curiosity, and judgment - someone who can spot patterns fast, ask the right questions, and influence outcomes in real time. Laurie Roth President/Sr. Consultant DSN-IT ************ ************* ************** ****************************************************

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.

Senior AI Data Scientist responsible for designing and building end-to-end large-scale AI/ML systems for forecasting, classification, regression, and predictive modeling. The ideal candidate will have deep expertise in building scalable solutions with proficiency in AI/ML frameworks, Python, SQL, data processing, distributed computing, and MLOps. Responsible for data ingestion and feature engineering to model development, deployment, and monitoring. Applying cutting-edge machine learning techniques and collaborating with cross-functional teams to develop impactful AI/ML solutions. Responsibilities Develop and deploy scalable AI/ML pipelines for feature engineering, training, tuning, evaluation, and inference. Leverage advanced time series analysis and classification techniques to enhance model precision and boost predictive performance. Build efficient and scalable AI/ML models for real-time inference and batch processing. Collaborate with cross-functional teams to define AI/ML system requirements and integrate AI/ML models into business workflows. Drive research and innovation by exploring new AI/ML techniques and incorporating the latest advancements in deep learning, transformers, LLMs, statistical modeling, and AI/ML algorithms. Design and implement agent-based systems that combine machine learning, generative AI for decision-making, and workflow automation. Develop intelligent agents capable of interacting with users and other systems to streamline operations, support dynamic content creation, and facilitate real-time problem solving. Establish evaluation protocols for agent behaviors to ensure alignment with business objectives. Foster open, respectful, and professional communication directly within the team, with co-workers/ teammates, and leaders across the organization. Develop ETL pipelines of data to be integrated with Azure Datalakes and Azure services. Performs other duties as assigned. Qualifications Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field. 5+ years of experience in data science or machine learning roles, with a strong portfolio of deployed AI solutions. Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing). Quantitative background with relevant experience using data to solve problems and answer questions Strong proficiency in Python, SQL, and experience with libraries/frameworks such as PyTorch, PySpark, and Tensorflow. Experience with MLOps tools and practices (e.g., MLflow, Azure DevOps, CI/CD for ML). Knowledge of relational and dimensional database structures, theories, principles, and practices. Familiarity with large language models (LLMs), generative AI, or deep learning. Strong knowledge of data architecture, data governance, and scalable data processing. Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques. Hands-on experience with Azure Data Lake, Azure Machine Learning, and other Azure cloud services.

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.

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!

14224 - Senior Energy Data Scientist (onsite) - Juno Beach, FL Estimated Duration: 12 months with possible extensions Work Setting: 100% of the time at the Client's site. No telecommuting or remote work. This is a non-negotiable requirement from the client. Required: • Availability to work 100% of the time at the Client's site in Juno Beach, FL (required); • Experience with machine learning or advanced analytics (5+ years); • Experience with energy, power, or commodities markets (2+ years); • Experience with Python (pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and SQL; • Experience deploying production-grade ML and analytics systems in AWS, Azure, or GCP • Experience modeling locational marginal prices (LMP),congestion, and portfolio risk • Experience with ML/AI model development, fine-tuning, and deployment (supervised, unsupervised, reinforcement learning, LLMs, generative AI, RAG pipelines); • Experience with agentic AI frameworks and autonomous decision systems (LangChain, LlamaIndex, CrewAI); • Experience with statistics, linear algebra, optimization, feature engineering, and model interpretability; • Experience with time-series forecasting and scenario modeling (ARIMA, Prophet, LSTM, XGBoost, Monte Carlo, VaR); • Experience with power and commodity markets, trading instruments, and regulatory datasets (ISO/RTO, DA/RT, FTRs, CRRs, PPAs, futures, swaps, FERC, EIA); • Experience with data engineering and architecture (ETL/ELT, dbt, Airflow, Prefect, cloud warehouses like Databricks/Snowflake); • Experience with vector databases for retrieval-augmented analytics (FAISS, Pinecone, Weaviate); • Experience with analytics and visualization tools (Power BI, Tableau, Plotly); • Experience integrating external data (weather, grid, market signals) into predictive models; • Master's or PhD in Data Science, Computer Science, Finance, Engineering, or Applied Mathematics Responsibilities: • Develop and integrate applications into the technical infrastructure and business processes; • Collaborate with analysts to analyze, design, develop, test, debug, implement, maintain, and enhance systems; • Design, deploy, and optimize ML/AI models for energy and commodity market forecasting; • Build and fine-tune generative AI models (LLMs, RAG pipelines) for automated analytics and market insights; • Create autonomous agentic systems or trading assistants for real-time monitoring, forecasting, and decision-making; • Perform time-series forecasting and scenario modeling (ARIMA, Prophet, LSTM, XGBoost) for market and renewable generation; • Implement stochastic modeling, Monte Carlo simulations, and VaR analysis for trading, hedging, or dispatch strategies. Why apply? • Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company; • Work with a great team of professionals and learn the newest technologies and approaches; • Enjoy our Client's wonderful campus with top-notch facilities for work and recreation; • Benefit from multiple project extensions; • Receive support and advice from Vitaver consultants who are already working at our Client's site; • Get extra cash by participating in the Vitaver Successful Completion Bonus Program; • Always get paid in full and on time.

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.

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:

GeniusRx is looking for an experienced data engineer to help bring the next evolution of pharmacy to life. As part of the data science team under product and technology, you will be working together with the data science, engineering, and product teams to ensure the right data gets to the right people. We are building a data platform that will allow us to bring a new level of intelligence to the pharmacy experience. Our analytics stack comprises of: Python, Spark, and Singer for ETL pipelines. Snowflake, Azure Blob Storage, and PostgreSQL for data storage. Databricks for additional transformations and machine learning. Looker for BI and reporting. You will design and implement data pipelines while factoring for scalability, availability, and quality and be instrumental in setting standards and best practices for the rest of the data science team. Roles & Responsibilities Work within the existing data ecosystem to move and integrate data pipelines across warehouses, legacy platforms, and external partners. Create actionable reports and dashboards that allow business stakeholders to self-service data requests while encouraging a culture of data discovery. Work together with stakeholders from marketing, pharmacy ops, engineering, and product to understand how the data works, where it comes from, and where it needs to go. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Azure big data technologies. Transform raw data into actionable data layers for use across the organization powering not only our business intelligence capabilities but also helping to establish a base for machine learning applications. Establish a data platform that can be used as a sole source of truth across the organization. Develop metrics and leading indicators that not only give answers to data questions but also provide context and understanding of trends. Monitor and review our drug pricing and give recommendations on ways to get customers the best possible price for their medications while achieving margin targets for the company. Work in a supportive, passionate team as we drive to bring a new level of medication savings and insight to our customers. Skills and Attributes for Success Bachelor's degree in computer science, engineering, mathematics, economics, or related discipline. 3+ years of experience in data engineering or business intelligence with a track record of manipulating, processing, and extracting valuable information from large datasets. Strong SQL skills. Experience working with business intelligence tools such as Looker, and Tableau. Experience working with executive stakeholders to not only develop reporting that meets their needs but be able to explain the importance/impact of our measures. Experience using Python, or other language equivalents, and its related data packages (Pandas, Numpy, SQLalchemy), and experience using Spark-based platforms like Databricks is a plus. Knowledge of best practices related to data transformations and reporting - healthcare experience is a plus. Knowledge of software engineering best practices including git, agile methods, coding standards and reviews, testing, and operations. Experience working in the Azure ecosystem is a plus. Preferred Experience with healthcare and pharmacy (preferred) Working at GeniusRx (Headquarters in Boca Raton, FL) means you are working with a diverse, passionate, collaborative team who are dedicated to making pharmacy personal again and are on a mission to disrupt the virtual pharmacy industry. We believe in cultivating a culture of bravery, kindness, and honesty. We encourage a healthy work-life balance and encourage our employees to take care of themselves by utilizing our comprehensive medical benefits, generous paid time off benefits, wellness programs, social events, and much more! GeniusRx provides equal opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristics protected by federal, state, or local laws.

Job Description GeniusRx is looking for an experienced data engineer to help bring the next evolution of pharmacy to life. As part of the data science team under product and technology, you will be working together with the data science, engineering, and product teams to ensure the right data gets to the right people. We are building a data platform that will allow us to bring a new level of intelligence to the pharmacy experience. Our analytics stack comprises of: Python, Spark, and Singer for ETL pipelines. Snowflake, Azure Blob Storage, and PostgreSQL for data storage. Databricks for additional transformations and machine learning. Looker for BI and reporting. You will design and implement data pipelines while factoring for scalability, availability, and quality and be instrumental in setting standards and best practices for the rest of the data science team. Roles & Responsibilities Work within the existing data ecosystem to move and integrate data pipelines across warehouses, legacy platforms, and external partners. Create actionable reports and dashboards that allow business stakeholders to self-service data requests while encouraging a culture of data discovery. Work together with stakeholders from marketing, pharmacy ops, engineering, and product to understand how the data works, where it comes from, and where it needs to go. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Azure big data technologies. Transform raw data into actionable data layers for use across the organization powering not only our business intelligence capabilities but also helping to establish a base for machine learning applications. Establish a data platform that can be used as a sole source of truth across the organization. Develop metrics and leading indicators that not only give answers to data questions but also provide context and understanding of trends. Monitor and review our drug pricing and give recommendations on ways to get customers the best possible price for their medications while achieving margin targets for the company. Work in a supportive, passionate team as we drive to bring a new level of medication savings and insight to our customers. Skills and Attributes for Success Bachelor's degree in computer science, engineering, mathematics, economics, or related discipline. 3+ years of experience in data engineering or business intelligence with a track record of manipulating, processing, and extracting valuable information from large datasets. Strong SQL skills. Experience working with business intelligence tools such as Looker, and Tableau. Experience working with executive stakeholders to not only develop reporting that meets their needs but be able to explain the importance/impact of our measures. Experience using Python, or other language equivalents, and its related data packages (Pandas, Numpy, SQLalchemy), and experience using Spark-based platforms like Databricks is a plus. Knowledge of best practices related to data transformations and reporting - healthcare experience is a plus. Knowledge of software engineering best practices including git, agile methods, coding standards and reviews, testing, and operations. Experience working in the Azure ecosystem is a plus. Preferred Experience with healthcare and pharmacy (preferred) Working at GeniusRx (Headquarters in Boca Raton, FL) means you are working with a diverse, passionate, collaborative team who are dedicated to making pharmacy personal again and are on a mission to disrupt the virtual pharmacy industry. We believe in cultivating a culture of bravery, kindness, and honesty. We encourage a healthy work-life balance and encourage our employees to take care of themselves by utilizing our comprehensive medical benefits, generous paid time off benefits, wellness programs, social events, and much more! GeniusRx provides equal opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristics protected by federal, state, or local laws.

Purpose Brands, the parent company of Orangetheory, Anytime Fitness, Waxing the City, The Bar Method, and Basecamp Fitness, is seeking a Data Engineer III to join its team. This is a great position for someone who is looking to expand their career, and join a company with a fun, fast-paced and inspirational culture. We are seeking a Data Engineer III to join our team as the technical and strategic anchor for our ERP and Financial data landscape. This is a high-impact role requiring a blend of expert-level technical execution and sophisticated stakeholder management. You won't just build pipelines; you will own the architectural integrity of our core financial datasets and act as a bridge between complex technical systems and executive business requirements. As a senior-level individual contributor, you will operate with high autonomy, leading multi-month projects, managing stakeholder expectations, and mentoring junior engineers. We are looking for a specialist who understands that data engineering at this level is a balance of software engineering rigor (CI/CD, modularity) and business consulting (stakeholder partnership, requirement gathering, and cross-functional influence). Advanced ERP Modeling & Stakeholder Partnership ● Core Data Architecture: Lead the end-to-end design and implementation of scalable "Gold-layer" data models in Snowflake representing complex ERP processes. ● Stakeholder Interaction: Proactively lead meetings with Finance, Operations, and Franchise Administration leaders to translate abstract business needs into technical specifications. You are expected to influence technical direction and manage conflicting priorities across teams. ● Requirement Gathering & Consulting: Act as the SME and bridge between technical systems and business partners, ensuring that complex ERP logic is transparent, documented, and accessible to non-technical stakeholders. ● Process Management: Establish project timelines, define the "Definition of Done," and provide authoritative status updates to leadership and Project Managers regarding project health and technical constraints. Ownership & Strategy ● Platform Evolution: Own the evolution of our dbt projects. Identify technical gaps in existing infrastructure and recommend/implement performant and reliable solutions. Implement rigorous automated testing and observability to ensure data products are 100% reliable for financial operations. ● Technical Mentorship: Act as a technical guide for junior resources. Conduct deep-dive code reviews to ensure adherence to data engineering best practices, modularity, and the DRY principle. ● Independent Execution: Work with high autonomy to solve problems of diverse scope, establishing work priorities and timelines for assigned projects while remaining accountable for successful delivery. REQUIRED QUALIFICATIONS & EXPERIENCE ● Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics) or equivalent professional experience. ● 7+ years of progressive Data Engineering experience, with at least 4 years focused on Cloud Data Warehousing (Snowflake preferred). ● Strong fundamental understanding of data warehousing concepts, architectural patterns, and data modeling methodologies. ● Proven experience modeling data for Enterprise Resource Planning (ERP) domains, preferably Financial Operations and Franchise Management. ● Advanced proficiency in SQL for data automation. ● 3+ years of production experience with dbt Cloud/Core, including experience managing large-scale projects with Jinja and macros. ● Exceptional verbal and written communication skills with a proven ability to lead technical discussions with non-technical stakeholders. ● Strong proficiency in Git workflows, code reviews, and CI/CD principles. OUR TECHNOLOGY STACK Proficiency or experience in the following technologies is highly desirable: ● Warehouse: Snowflake (Expert level, or equivalent modern cloud data warehouse, required) ● Transformation and Orchestration: dbt Cloud (Expert level strongly preferred) ● Programming: Python ● Cloud Services: Amazon Web Services (AWS) ● Version Control: GitHub ● Project Management: Jira & Confluence What's in it for you? We offer a competitive salary along with exceptional benefits such as: Medical, Dental and Vision Coverage Hybrid Work Environment Life and Disability Insurance Unlimited Time off + Paid Holidays Fridays off between Memorial Day and Labor Day 401(K) Savings Plan Matching at 4% 10 Coaching and Therapy sessions Mental Health Benefits Brand Discounts & Reimbursements In-house workout facilities Professional Development Opportunities Team Building, Employee Engagement Activities & so much more WORK SCHEDULE Purpose Brands LLC, currently observe the following hybrid work model for employees at our Boca Raton (FL), Woodbury (MN), and Seattle (WA) offices: Remote optional: Wednesdays and Fridays On-site days: Mondays, Tuesdays, and Thursdays DIVERSITY, EQUITY, AND INCLUSION STATEMENT Purpose Brands is committed to encouraging, facilitating, and upholding an environment centered on diversity, equity, and inclusion across every facet of the Purpose Brands. We will work to create a sustainable culture that supports a healthy space for learning and growing, valuing, and empowering every employee, inspiring a diverse franchise network, and uplifting the members and communities we serve. EEO STATEMENT Purpose Brands provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type will not be tolerated.

Title: Lead Data Engineer Duration: 6 months + (Contract to hire) seeking a highly skilled and motivated Lead Data Engineer to join our Southeast Toyota Finance Data Engineering team. The Lead Data Engineer will be instrumental in designing, developing, and maintaining data solutions using Microsoft Azure technologies. You will work closely with Data Engineers, Data Architects, Data Analysts, Data Modelers, Report Developers, BU IT, and business stakeholders to deliver data solutions that support the company's strategic goals. Responsibilities: · Proficient in knowledge of business systems, applications, processes and data to support data solutions · Guide and mentor Data Engineers and\/or Data Analysts · Help coordinate activities, provide leadership in large projects by: o Establishing standards and providing guidance to other Data Engineers and Data Analysts o Ensures other Data Engineers and Data Analysts are following standards · Foster communication and collaboration between different departments, communicate vision and strategy for ETL tools, pipelines, performance implication of solutions to stakeholders and leadership · Provide strategic input and help set direction on data preparation and data modeling practices. Stay up to date with the latest tools and capabilities. · Subject matter expert of ETL tools, pipelines, and performance implication of solutions · Ability to design and implement highly scalable and reliable data solutions and certify the accuracy and reliability of BU data assets in an Agile environment · Optimize and fine\-tune data solutions for enhanced efficiency and performance · Ability to work across and within multiple methodologies\/ technologies \/ business domains Qualifications: · 5+ years of SQL in a data\-related role · 5+ years of Data Integration and ETL tool experience · Azure cloud platform knowledge preferred · Experience with Agile methodology and Azure DevOps preferred · Experience in the automotive or captive finance industry is a plus · Detail oriented, curious, and willing to contribute as a team player · Excellent verbal and written communication skills · While we need a candidate who is curious, they need to be able to balance that there are times they just need to execute the task at hand and not dig into all the details given the velocity the SPARK Mod project requires. "}}],"is Mobile":false,"iframe":"true","job Type":"Contract","apply Name":"Apply Now","zsoid":"19257397","FontFamily":"PuviRegular","job OtherDetails":[{"field Label":"Start Date","uitype":1,"value":"ASAP"},{"field Label":"Job Opening ID","uitype":111,"value":"9717"},{"field Label":"Duration","uitype":1,"value":"Contract"},{"field Label":"Industry","uitype":2,"value":"Technology"},{"field Label":"Work Experience","uitype":2,"value":"8 \- 12 Years"},{"field Label":"City","uitype":1,"value":"Deerfield Beach"},{"field Label":"State\/Province","uitype":1,"value":"Florida"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"33027"}],"header Name":"Lead Data Engineer","widget Id":"171710000002190088","is JobBoard":"false","user Id":"171710000000028001","attach Arr":[],"custom Template":"5","is CandidateLoginEnabled":true,"job Id":"171710000031682064","FontSize":"15","location":"Deerfield Beach","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do","logo Id":"dwari0d06250feb6641b2a0b44859d0077133"}

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!

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:

Purpose Brands, the parent company of Orangetheory, Anytime Fitness, Waxing the City, The Bar Method, and Basecamp Fitness, is seeking a Data Engineer II to join its team. This is a great position for someone who is looking to expand their career, and join a company with a fun, fast-paced and inspirational culture. We are seeking a highly skilled and motivated Data Engineer III to join our dynamic data team. You will specialize in our ERP-related data landscape, taking ownership of core processes and datasets. In this pivotal role, you will be instrumental in designing, developing, and maintaining our core data infrastructure, particularly building scalable, efficient ERP data models that drive essential business functions in Finance and Operations. As a senior member of the team, you will work with a high degree of autonomy, leading moderately complex projects and establishing timelines and priorities for your work. While this role does not involve direct people management, you will be a crucial mentor and guide for more junior team members, fostering a culture of technical excellence and continuous improvement. We are looking for a well-rounded data professional who is not only technically proficient but also a strong communicator and collaborator, capable of bridging the gap between complex ERP data and business stakeholder needs. JOB RESPONSIBILITIES ERP Data Ownership & Modeling ERP Data Pipeline Management: Own, maintain, and optimize all data pipelines and datasets originating from our core ERP systems. Ensure data quality, integrity, and timely delivery of mission-critical financial and operational data. Core Data Model Development: Lead the design, implementation, and maintenance of scalable, robust, and secure data pipelines using ETL/ELT best practices. Specialized Data Modeling: Transform and optimize large, complex datasets into well-structured, efficient data models tailored to business needs, with a specific emphasis on operational and financial reporting structures. Subject Matter Expertise: Develop a deep domain understanding of the company's ERP business processes (e.g., financial operations, franchise management platforms), acting as the go-to expert for data-related questions and initiatives in this landscape. Project Leadership & Collaboration Project Autonomy: Independently manage and lead moderately complex data engineering projects, identifying technical gaps, proposing solutions, and taking ownership from conception to deployment with minimal direct supervision. Stakeholder Partnership: Work closely with Finance, Operations, and business stakeholders to understand their data requirements, proactively driving and leading technical discussions to define clear data architecture solutions. Operational Excellence: Monitor, troubleshoot, and optimize data pipelines to ensure high performance and reliability. Understand and consider the cost implications associated with your technology choices and architectural designs. Process Management: Maintain clear and up-to-date project status in Jira and effectively communicate progress to Technical Project Managers and team leads. Technical Guidance & Standards Mentorship: Act as a technical leader and mentor to junior engineers. Provide guidance through code reviews, training, and sharing best practices to elevate the team's skills. Documentation & Governance: Champion and contribute to our documentation culture by creating and maintaining high-quality technical documentation. Help establish and enforce data engineering best practices, including data security, privacy, and governance protocols. REQUIRED QUALIFICATIONS & EXPERIENCE Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics) or equivalent professional experience. 5+ years of experience building and maintaining large-scale data pipelines in a cloud environment. 5+ years of direct experience designing, implementing, and maintaining data pipelines for Enterprise Resource Planning (ERP) systems. Proven expertise in writing highly optimized, efficient SQL and experience with complex data modeling. Strong domain expertise and proven data modeling experience in core ERP domains, such as Financial Operations (e.g., management accounting) or Franchise Management. Demonstrated experience working in big data environments and processing large volumes of data. A strong understanding of data warehousing concepts and architecture. COMPETENCIES Technical Depth & Innovation: Proficient at your technology and domain. Able to quickly pick up new technologies/processes. Expertise to identify technical gaps and work on recommended solutions. Autonomy & Ownership: Works independently with little direct supervision; solves problems of diverse scope; establishes work priorities and timeline for the team. Accountable for successful project delivery. Data Modeling: Ability to translate complex source data into clean, performant, and reliable core data models suitable for enterprise consumption. Collaboration & Influence: Excellent communication skills with the ability to convey complex technical models and concepts to non-technical business stakeholders. Proactively drives discussions and technical direction within assigned projects. Mentorship & COE Adherence: Acts as a technical mentor and guide for junior resources on product-specific knowledge. Executes work in adherence with data engineering best practices and proactively guides others in adopting these standards. OUR TECHNOLOGY STACK Proficiency or experience in the following technologies is highly desirable: Data Warehouse: Snowflake Data Transformation: dbt (data build tool) Cloud Programming: Python (not required) Cloud Services: Amazon Web Services (AWS) Version Control: GitHub Project Management & Documentation: Jira, Confluence Bonus Skills: Familiarity with the Microsoft Azure ecosystem. What's in it for you? We offer a competitive salary along with exceptional benefits such as: Medical, Dental and Vision Coverage Hybrid Work Environment Life and Disability Insurance Unlimited Time off + Paid Holidays Fridays off between Memorial Day and Labor Day 401(K) Savings Plan Matching at 4% 10 Coaching and Therapy sessions Mental Health Benefits Brand Discounts & Reimbursements In-house workout facilities Professional Development Opportunities Team Building, Employee Engagement Activities & so much more WORK SCHEDULE Purpose Brands LLC, currently observe the following hybrid work model for employees at our Boca Raton (FL), Woodbury (MN), and Seattle (WA) offices: Remote optional: Wednesdays and Fridays On-site days: Mondays, Tuesdays, and Thursdays DIVERSITY, EQUITY, AND INCLUSION STATEMENT Purpose Brands is committed to encouraging, facilitating, and upholding an environment centered on diversity, equity, and inclusion across every facet of the Purpose Brands. We will work to create a sustainable culture that supports a healthy space for learning and growing, valuing, and empowering every employee, inspiring a diverse franchise network, and uplifting the members and communities we serve. EEO STATEMENT Purpose Brands provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type will not be tolerated.