Senior data scientist jobs in Palm Beach Gardens, FL

NationsBenefits is recognized as one of the fastest growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members. Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction. Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members. We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India. Position Summary: We are seeking a seasoned EDI 837 Claims Data Engineer to design, develop, and maintain data pipelines that process healthcare claims in compliance with HIPAA and ANSI X12 standards. This role requires deep expertise in Electronic Data Interchange (EDI), particularly the 837-transaction set, and will be pivotal in ensuring accurate, timely, and secure claims data exchange across payers, providers, clearinghouses, state agencies, and CMS. Key Responsibilities EDI Development & Integration Design, build, and maintain pipelines for processing 837 healthcare claim transactions. Implement and support EDI workflows across multiple trading partners. Ensure compliance with HIPAA regulations and ANSI X12 standards. Data Engineering Develop ETL processes to transform, validate, and load claims data into enterprise data warehouses. Optimize data flows for scalability, reliability, and performance. Collaborate with analysts and stakeholders to ensure claims data accuracy. Write and optimize SQL queries, stored procedures, and scripts for validation and reporting. Monitoring & Troubleshooting Monitor EDI transactions for errors, rejections, and compliance issues. Troubleshoot and resolve data mapping, translation, and connectivity problems. Perform root cause analysis and implement corrective actions. Collaboration Work closely with business analysts, QA teams, and IT operations to support claims processing. Partner with healthcare domain experts to align technical solutions with business needs. Required Skills & Qualifications 5+ years of experience in healthcare data engineering or claims integration. Strong expertise with EDI 837 transactions and healthcare claims processing. Proven experience with Medicaid and Medicare data exchanges between state agencies and CMS. Hands-on experience with Databricks, SSIS, and SQL Server. Knowledge of HIPAA compliance, CMS reporting requirements, and interoperability standards. Strong problem-solving skills and ability to work in cross-functional teams. Excellent communication and documentation skills. Preferred Skills Experience with Azure cloud platforms Familiarity with other EDI transactions (835, 270/271, 276/277). Exposure to data governance frameworks and security best practices. Background in data warehousing and healthcare analytics.

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. What you'll do: * Design and implement comprehensive evaluation strategies for AI models, including both offline and online (production) settings. * Conduct statistical analyses and hypothesis testing to assess model accuracy, precision, recall, F1 score, ROC-AUC, and other relevant performance metrics. * Collaborate with clinical data labeling teams, ML engineers and data scientists to define validation datasets, ground truth standards, and performance benchmarks. * Analyze model outputs to identify strengths, weaknesses, and potential biases, and provide actionable recommendations for improvement. * Develop and maintain metrics, dashboards, and reports to monitor model performance, drift, and stability over time. * Communicate findings and recommendations to technical and non-technical stakeholders through clear visualizations and presentations. * Develop and maintain documentation and metrics for data quality, profiling results, and value assessments to support transparency and continuous improvement. Qualifications: * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. * 4+ years of experience in data science or machine learning, with a focus on model evaluation and validation. * Strong command of statistical analysis and hypothesis testing. * Proficiency in Python and/or R, with experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. * Familiarity with model monitoring tools and MLOps platforms is a plus. * Experience with data visualization tools (e.g., matplotlib, seaborn, Plotly, Tableau) to communicate model performance is a plus. * Excellent problem-solving skills and attention to detail. * Strong communication skills, with the ability to explain complex technical concepts to diverse audiences. * Experience working in a collaborative, cross-functional team environment. CHI: $100,000-$160,000 USD NYC/SF: $115,000-$175,000 USD 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.

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.

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.

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

We are from US IT Solutions, an ISO Certified, E-Verify, WMBE Certified organization established in 2005 in CA. O ur 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.

We are united in our mission to make a positive impact on healthcare. Join Us! South Florida Business Journal, Best Places to Work 2024 Inc. 5000 Fastest-Growing Private Companies in America 2024 2024 Black Book Awards, ranked #1 EHR in 11 Specialties 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold) 2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara) Who we are: We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed's global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany. We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce with team members across the US. As we continue to scale and drive innovation, we are seeking dynamic and experienced Data Scientists at various levels to join our team. We are seeking Data Scientists to play a critical role in driving data and machine learning initiatives that fuel innovation and business growth. This is ideal for a hands-on technical lead who is passionate about solving complex problems using data and building production-grade ML systems. You will work closely with cross-functional teams to design, develop, and deploy scalable data solutions and machine learning models that create measurable business impact. Key Responsibilities : Design and implement advanced machine learning models and algorithms for prediction, classification, personalization, and automation use cases. Translate business problems into machine learning solutions, working closely with stakeholders to identify opportunities for data-driven impact. Build and evaluate models using techniques such as supervised/unsupervised learning, time-series forecasting, NLP, and deep learning where applicable. Own the end-to-end lifecycle of machine learning models, from data exploration and feature engineering to deployment, monitoring, and retraining. Lead cross-functional ML projects, collaborating with product managers, data engineers, analysts, and software engineers. Partner with data engineering teams to ensure robust data pipelines and access to high-quality, clean, and reliable data for analytics and ML. Contribute to the design and development of scalable ML infrastructure and tools to support training, experimentation, and production deployment. Analyze large datasets to generate actionable insights, uncover trends, and support strategic decisions. Develop visualizations, dashboards, and reports to communicate results to technical and non-technical audiences. Work with stakeholders across the business (product, marketing, operations) to validate findings and support data-informed decisions. Qualifications: PhD in Computer Science, Data Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field. Proven track record of research excellence demonstrated by publications in top ML/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, KDD) or journals. Hands-on experience in data science or machine learning in a product or platform-focused environment preferably in healthcare or similar data-rich domain. Strong proficiency in Python and common ML libraries. Experience with MLOps tools and cloud-based ML environments such as AWS. Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus. Solid understanding of statistical methods, experimental design, and data wrangling. Familiarity with SQL, Spark, and distributed data systems is a plus. #LI-DV1 ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: India Meals & Snacks: Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk, Insurance Coverage: Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees, Allowances: Annual wellness allowance to support your well-being and productivity, Earned, casual, and sick leaves to maintain a healthy work-life balance, Bereavement leave for difficult times and extended medical leave options, Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave, Celebration leave to make your special day even more memorable, and company-paid holidays to recharge and unwind. United States Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution, 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (*************************). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

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

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.

Key Responsibilities: Model Development: Design and develop algorithms for generative models using deep learning techniques. Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems. Research: Stay updated on the latest advancements in generative AI technologies and methodologies. Optimization: Fine-tune models for performance and efficiency. Troubleshooting: Address and resolve issues related to generative AI models and implementations. Documentation: Create and maintain comprehensive documentation for AI models and their applications. Communication: Explain complex technical concepts to non-technical stakeholders. Required Skills and Qualifications: 6+ years of strong background in machine learning and deep learning algorithms. Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch. Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT) Hands on experience with prompt structures and fine-tune model outputs to align with business needs and user expectations. Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Skills in data preprocessing and feature engineering for AI model training. Strong understanding of neural network architectures and optimization techniques. Experience in deploying AI models into production environments. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. Compensation, Benefits and Duration Minimum Compensation: USD 42,000 Maximum Compensation: USD 148,000 Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role. Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees. This position is not available for independent contractors No applications will be considered if received more than 120 days after the date of this post

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

We are united in our mission to make a positive impact on healthcare. Join Us! South Florida Business Journal, Best Places to Work 2024 Inc. 5000 Fastest-Growing Private Companies in America 2024 2024 Black Book Awards, ranked #1 EHR in 11 Specialties 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold) 2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara) Who we are: We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed's global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany. ModMed is hiring an exceptional Data Engineer with a passion for technology to help revolutionize the world of Healthcare IT. Data engineers are at the core of a data-driven business; they build and maintain the infrastructure that empowers analysts and data scientists to drive insights. We've built a team of passionate, creative, and innovative engineers and data scientists that are changing the world and having fun doing it! Your Role: Create, maintain, and support ETL pipelines Work with application development teams to understand data representation Maintain documentation for the Data Warehouse and other data products Support data usage needs of downstream analytics teams Skills & Requirements: BS in Computer Science or equivalent work experience. Proficient in SQL and relational databases. Experience with object-oriented programming. Strong problem solving skills, adaptable, proactive and willing to take ownership. Strong commitment to quality, architecture and documentation. Experience using AWS or other cloud services, a plus. Experience with big data tools (Hadoop, Spark, Kafka, Airflow), a plus. Experience with Python, Scala and R, a plus. Please note: We are not offering sponsorship now or in the future for this role. #LI-DV1 ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: India Meals & Snacks: Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk, Insurance Coverage: Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees, Allowances: Annual wellness allowance to support your well-being and productivity, Earned, casual, and sick leaves to maintain a healthy work-life balance, Bereavement leave for difficult times and extended medical leave options, Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave, Celebration leave to make your special day even more memorable, and company-paid holidays to recharge and unwind. United States Comprehensive medical, dental, and vision benefits 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (*************************). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

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.

We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities * Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. * Partner with the extended data team to define, develop, and maintain shared data models and definitions. * Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. * Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. * Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. * Support incident resolution and perform root cause analysis for data-related issues. * Create and maintain both business requirement and technical requirement documentation * Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications * Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. * Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL * Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). * Experience with modern data platforms like Snowflake and Microsoft Fabric. * Solid understanding of Data Modeling, pipeline orchestration and performance optimization * Strong problem-solving skills and ability to troubleshoot complex data issues. * Excellent communication skills, with the ability to work collaboratively in a team environment. * Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or coordinating with overseas teams is a strong plus Preferred Skills * Knowledge of Airflow or other orchestration tools. * Experience working with Git-based workflows and CI/CD pipelines * Experience in the construction industry or a similar field is a plus but not required. 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 ********************