Senior data scientist jobs in Wellington, FL - 79 jobs

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.

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.

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world. Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption. MINIMUM QUALIFICATIONS PhD degree; or M.S. +5 years in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research. 3+ years professional experience applying statistical methods to real product/business problems at scale (leading analysis end-to-end and influencing decisions). Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc. Proficiency in causal inference methods. Proven ability to translate offline analysis into online impact. Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost. Strong experience with SQL (e.g. postgres, snowflake, etc). PREFERRED QUALIFICATIONS: 2+ years of professional experience with large-scale recommender systems (for news feeds, shopping, ads, music, etc). Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow). Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents. RESPONSIBILITIES Work cross-functionally to translate business problems into testable analyses and experiments. Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business. Define and evolve trustworthy KPIs and guardrail metrics for user engagement, retention, and monetization. Develop and deploy machine learning models to make recommendations and influence the product roadmap. Define and build new ML features using text and multimodal embeddings and GenAI. Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.

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.

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!

Data Scientist Machine Learning. Data Scientist opportunity in Fort Lauderdale. Salary $100K to $135K DOE plus benefits. Our client is in the Consumer Finance and Lending industry, looking for a Data Scientist in their Fort Lauderdale office who is responsible for ensuring the successful operations of our client's Call Center team to meet the overall objectives, including strategic direction and development of a team providing Customer Service and Collections support, knowledge of Machine Learning is strongly preferred. Responsibilities: Develop statistical models for predicting future maintenance costs and key performance metrics. Consolidate, prepare, and analyze financial data to understand cause-and-effect relationships and identify root causes. Data mining, predictive-modeling, and innovative use of statistical and quantitative knowledge. Develop, implement, and maintain consistent processes for data quality control. Qualifications: Bachelor's degree in Finance, Engineering, Statistics, Math or equivalent. Master's degree preferred. Four (4) years or more relevant experience. Four (4) years or more experience in Corporate Finance, Call Center of or Consumer Finance.

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

Must Have Technical/Functional Skills Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to join our team. The role involves building advanced data models, performing statistical analysis, and implementing automated testing frameworks for enterprise-grade solutions. Roles & Responsibilities * Develop and deploy data science models and algorithms using Python. * Perform data extraction, transformation, and analysis leveraging PostgreSQL and Pandas. * Design and implement robust automated test suites using PyTest for data pipelines and models. * Conduct exploratory data analysis (EDA) and feature engineering for predictive modeling. * Collaborate with stakeholders to define data-driven solutions and business insights. * Optimize SQL queries and database structures for performance and scalability. * Integrate models into production systems with CI/CD pipelines and testing gates. * Ensure data quality, security, and compliance with enterprise standards. * Document methodologies, workflows, and maintain reproducibility of experiments. * Provide production support and troubleshoot data-related issues Required Qualification * 5+ years of experience in Data Science and Python programming. * Strong knowledge of statistical modeling, machine learning techniques, and data visualization. * Expertise in PostgreSQL (schema design, query optimization, indexing). * Proficiency in PyTest for automated testing and CI/CD integration. * Hands-on experience with Pandas and NumPy for data manipulation. * Familiarity with Git-based workflows and CI/CD tools. * Strong problem-solving skills and ability to communicate technical concepts clearly. Generic Managerial Skills, If any * Experience with SQLAlchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). * Prior experience in BFSI domain. Key Words to search in Resume Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka. Pre-Screening Questionnaire * Experience with SQL Alchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (GCP) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). Salary range:& nbsp; $120,000 to $140,000 per year

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

Job Description Why This Role Exists Games generate mountains of data - player behavior, progression curves, economies, feature experiments, live ops events. The challenge isn't collecting it. It's turning it into decisions that make games more fun, more engaging, and more profitable. We're looking for a gaming-savvy data scientist who can uncover player insights, balance competing KPIs, and help shape game design using evidence - not guesswork. If you enjoy digging into player funnels, A/B test results, and economy models to answer “why did players do that?” - you'll fit right in. What You'll Do (Your Day-to-Day in Game Terms) Analyze player behavior, engagement, retention, monetization, and progression across our games Design and maintain dashboards that track live game performance and guide real-time decisions Partner closely with Game Designers, Product, Live Ops, and Game Intelligence teams to embed data into design and operational choices Define and evolve core game KPIs (DAU/MAU, ARPDAU, LTV, churn, conversion, feature performance) Lead A/B tests and experiments to evaluate features, balancing changes, and live ops events Translate complex player data into clear insights and narratives that non-data teammates can act on Help drive a culture where data informs game design - without killing creativity Stay current on game analytics trends, tools, and best practices Nice-to-Haves (a.k.a. “You'll impress us if you bring these”): Building predictive models for churn, LTV, player segmentation, or personalization Advanced statistical modeling or simulation for game economies and feature impact What You Bring to the Table Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or a related field Hands-on experience with A/B testing, experimentation, and feature analysis Strong problem-solving skills and comfort working in ambiguous, real-world game scenarios 4+ years of industry experience in data science, analytics, ML, or predictive modeling (preferred) Experience applying machine learning or AI where it actually adds value (not just because it's cool) Master's degree preferred for senior-level candidates Highly preferred: experience working with online gaming datasets, especially slot or casino-style games Your Analytics Toolkit Data & BI tools: SQL, Snowflake, Tableau, Power BI, Excel Programming & analysis: Python, R, Java, SAS Machine learning & AI platforms: TensorFlow, Azure ML Studio, or similar Strong foundation in statistics, data mining, pattern recognition, and predictive modeling Why Gaming Data Scientists Like This Role Your insights directly influence game design, player experience, and revenue outcomes You'll work alongside designers and product leaders who actually want data at the table You'll analyze live games with real player impact, not abstract datasets You'll help balance the art and science of game development If you love games, think in funnels and cohorts, and enjoy turning player data into smarter design decisions - we'd love to hear from you.

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.

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.

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

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

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.

Our Opportunity We're looking for a Data Platform Reliability Engineer II to own reliability, deployments, and cost efficiency for a domain within Chewy's Enterprise Data Systems (EDS). You'll lead automation and adoption of the paved road - ensuring consistency, transparency, and scalability across Snowflake, dbt Cloud, AWS, and BI. What You'll Do Own domain-level reliability: run on-call, lead sev-2/3 incidents, coordinate stakeholder communications, drive RCAs, and automate the top recovery actions to reduce MTTR. Define and track domain SLOs for freshness, completeness, and accuracy; deliver to SLAs through tests, monitors, and dashboards. Manage dbt/Snowflake deployments and environment promotion pipelines; implement pre-deploy checks, canary, automated rollback, and change-fail rate tracking. Lead Snowflake cost initiatives: credit allocation, budget tracking, optimization playbooks, and transparency reporting. Author and maintain Terraform modules for domain infrastructure; ship changes via CI/CD with plans, reviews, and rollback paths. Contribute to paved-road onboarding materials and guardrails; help new teams land with standard configurations and observability defaults. Build AI-assisted observability views for anomaly detection, drift, and warehouse optimization. Embed catalog and lineage coverage checks in deployments; enforce coverage thresholds while data stewards own certification and metric definitions. Improve runbooks, reduce operational toil, and mentor Level I engineers on best practices. What You'll Need BA/BS in Computer Science, Engineering, Mathematics, or a related field 3-5 years of experience in data engineering, DevOps, or platform reliability. Strong SQL and scripting skills via Python. Hands-on experience with Snowflake, including credit monitoring, warehouse optimization, and performance tuning. Experience with dbt Cloud, AWS, and Terraform for infrastructure provisioning. Familiarity with CI/CD tools and environment promotion workflows. Excellent analytical and problem-solving skills; strong ownership mentality. Enthusiasm for automation, AI observability, and continuous improvement. Why You'll Love This Role Own platform reliability and cost optimization that impact every data team at Chewy. Use automation and infrastructure-as-code (Terraform) to scale operations sustainably. Enable smooth tool adoption and reduce time to value for new teams joining the paved road. See your efforts directly improve reliability, predictability, and cost savings across EDS. Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact **************. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

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!