Senior data scientist jobs in Jupiter, FL - 49 jobs

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.

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!

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.

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.

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

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 ************ ************* ************** ****************************************************

High School Diploma or equivalent The ability to fluently read, write, understand and communicate in English 3 years of relevant experience, medical device industry or equivalent industry experience is preferred Preferred Requirements: Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base Good working knowledge in ML algorithm development using image-based data and image processing is desirable Ability to conduct experiments to collect data and/or to support algorithm development Advanced expertise in software and other applications used by data scientist for algorithm development Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams Well-developed organizational skills and the ability to manage several projects simultaneously High School Diploma or equivalent The ability to fluently read, write, understand and communicate in English 3 years of relevant experience, medical device industry or equivalent industry experience is preferred Preferred Requirements: Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base Good working knowledge in ML algorithm development using image-based data and image processing is desirable Ability to conduct experiments to collect data and/or to support algorithm development Advanced expertise in software and other applications used by data scientist for algorithm development Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams Well-developed organizational skills and the ability to manage several projects simultaneously

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.

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 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.

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.

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.

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: Establishing standards and providing guidance to other Data Engineers and Data Analysts 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 We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements This is a full-time contractor, hybrid position 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 Detail oriented, curious, and willing to contribute as a team player Excellent verbal and written communication skills Experience in the automotive or captive finance industry is a plus

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Outcomes Research team at Tempus partners with external Pharma, biotech and academic institutions to provide best in class data, analysis and methodological guidance to Tempus's real world data offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team. Responsibilities: * Participate in clinical projects with external Pharma, academic and other partners * Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies * Work on complex problems, exercising judgment in selecting and adapting methods as appropriate * Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients * Stay current with the latest methodological advances in real world studies * Build infrastructure including reusable code * Comply with all applicable regulations and Company procedures Required Experience: * Advanced degree (Masters with 5+ years of experience or PhD with 3+ years of experience) or Bachelor's degree with 8+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields. * Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packages Ideal candidates will possess: * Strong data manipulation and analysis skills * Ability to tackle large, ambiguous problems * Strong communication and presentation skills * Self-starter * Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research * Experience in cancer genetics, immunology, or molecular biology * Self-driven and works well in interdisciplinary teams * Collaborative mindset, an eagerness to learn and a high integrity work ethic * Sharp attention to detail and passion for delivering high quality and timely analytics deliverables * Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations Nice to have: * Experience with version control and software testing * Experience with time to event analysis and methodology * Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources) * Hands-on experience in helping to prepare regulatory submissions to the FDA * Experience supporting data science teams in model building and validation * Client facing or consulting experience and comfort with presenting results to stakeholders #LI-NK1 #LI-REMOTE CHI: $100,000-$160,000 NYC/SF: $115,000-$175,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability 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!

**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

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. We are looking for a Data Engineer who must understand the many different and evolving use cases for data at Voloridge and design systems that supply a variety of data sets for advanced analytics. Summary of Job Functions * Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Architects, Data Analysts, QA Analysts, DBAs and other Data Engineers * Build and maintain data pipelines based on functional and architectural specifications * Ensure that data pipelines incorporate best practices related to high performance, fault tolerance, instrumentation, logging and data driven functionality * Ensure that data pipelines are scalable, maintainable, extensible, and not overly engineered * Produce and maintain engineering and operational documentation * Analyze complex data problems and engineer elegant solutions * Develop and maintain knowledge expertise in current technology stack * Stay abreast of emerging technologies, make relevant recommendations, and participate in technology modernization projects * Work in an Agile SDLC environment * Participate in engineering standards and best-practices evolution * Participate in an 24x7 on-call rotation * Assist Data Analysts in troubleshoot data issues * Be able to work daily onsite in our Jupiter, FL office Minimum Requirements * 5+ years of experience building ETL/ELT data pipelines using on-premises SQL Server 2017 Enterprise Edition, or newer * Proficient understanding of relational data modeling * Good TSQL performance tuning skills * Experience writing both historical and incremental ETL/ELT data pipelines * Solid understanding of traditional Agile SDLC best practices, ceremonies, and tools * Solid understanding of source control concepts (such as branching, feature branches, pull requests) and tools (such as GitHub, BitBucket, Azure DevOps) * Experience writing Python * Experience writing PowerShell * Experience building data pipelines using third-party external data sources * Experience working on a team of 3 or more data engineers * Experience being responsible for the mission critical data solutions * Strong initiative, collaboration, accountability, impartiality and communication * Bachelor's degree in Computer Science, Information Systems, related discipline, or equivalent experience Preferred Skills and Experience * Experience writing ETL/ELT which leverages data change detection technologies, such as SQL Server Change Tracking and/or Change Data Capture * Experience using Python libraries such as Polars, Pandas, Numpy, CSV, TraceBack, JSON, PyODBC, TurbODBC, Math * Experience with cloud-based data management solutions such as Snowflake, Redshift * Experience working with DevOps functionality such as CI / CD * Experience working with trading / financial / investment / accounting data * Experience using productivity tools such as Red Gate and SentryOne * Experience with open-source database engines such as Clickhouse, ArcticDB, PostGreSQL * Experience writing design documentation such as ERDs, Data Flow Diagrams, Process Flow Diagrams * Experience writing operational documentation such as Run Books * Experience collaborating with project managers, QA testers, and end-users * Master's Degree in Computer Science, Information Systems, or related discipline 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.