Senior data scientist jobs in Coral Springs, FL - 173 jobs

A tech company specializing in data management seeks a Head of Partnerships in Miami to define their global partnerships strategy and manage partner relationships. Ideal candidates will have extensive experience in the data ecosystem and partnerships, particularly in startups. The role includes building a team from the ground up, establishing a partner-driven pipeline, and collaborating across functional teams. This position is an opportunity to shape the company's partnership function and drive significant revenue impact. #J-18808-Ljbffr

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.

Streamline Defense is seeking an exceptionally qualified candidate to serve as a Senior Exploitation Specialist/Data Scientist supporting NGA USSOUTHCOM. RESPONSIBILITIES Provide analysis and data science support to intelligence missions Operate independently at a senior level in an intelligence environment Create processes around large data sets to identify analytical discoveries Develop visualizations that are easily integrated into daily operations Operationalize analytic output by shaping and framing it to support operational planning REQUIREMENTS Active TS/SCI security clearance Must qualify as Senior level on the provided calculator Background in intelligence with experience providing analysis and/or data science to an intelligence mission Senior-level proficiency in Python scripting Proficiency in creating processes around large data sets to identify analytical discoveries Understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR Understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206 ABOUT STREAMLINE Streamline delivers professional and technical solutions to the U.S. Defense, Intelligence, and Special Operations communities. Our analysts, engineers, and cleared professionals support some of the nation's most critical missions. At Streamline, we foster a high-performance culture where driven professionals can grow, innovate, and make an impact. We provide an entrepreneurial environment where initiative is valued, expertise is rewarded, and contributions directly shape mission success. This is the place to build your career if you're looking for meaningful work, top-tier colleagues, and competitive compensation. EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT Streamline is an equal-opportunity employer and is committed to hiring and retaining a diverse workforce. We recruit, hire, and promote based on qualifications, merit, and mission requirements, ensuring fair treatment for all employees and applicants. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job Description This is an exciting opportunity to join us as a Senior Data Scientist to support the National Geospatial-Intelligence Agency (NGA) on high-priority mission. The work is operational, mission-driven, and grounded in real-world impact to inform planning, targeting, and execution. Across the USSOUTHCOM AOR, transnational criminal organizations adapt quickly, shifting routes, methods, and infrastructure. Coca cultivation and production regions change. Networks evolve. The data is massive, fragmented, and imperfect. You will be sought to bring order to that complexity. Taking large, diverse datasets and building analytic processes that expose patterns, relationships, and behaviors others can't see. You'll design workflows that can be repeated, trusted, and scaled. This is a senior, independent role. You will lead analytic efforts with minimal direction, applying experience, judgment, and rigor to every product. Ensuring analytic standards are met, assumptions are clear, and conclusions are defensible aligned with ICD 203 and ICD 206. Collaborating across NGA and Intelligence Community partners, you'll help integrate perspectives and strengthen collective understanding. Advising government leadership on analytic methodologies, processes, and technologies, while mentoring others and setting the standards for quality and relevance. The mission will keep moving, network will adapt, patterns will shift, and new questions will emerge. What won't change is the need for intelligence that is trusted, actionable, and timely. If you want to be a part of delivering that clarity, join us today! Requirements Current active Top Secret / SCI clearance You have achieved the accomplishment of a Master's degree + 5 years / Bachelor's degree + 7 years / Associate's degree + 8 years / 10 + years of relevant experience. You have robust proficiency in Python in order to automate and create solutions that scale, adapt, and withstand mission demands. You have gained strong expertise in building processes around large datasets to support in designing repeatable methods that extract real discoveries from complexity. You have a strong skillset in operational visualization in order to make discoveries and present them through clear, intuitive visualizations that team can use immediately in daily operations. Experienced with GEOINT standards and structured data management to ensure accuracy, consistency, and trust in the intelligence delivered. Experience with tools such as ArcGIS, Tableau, SPSS, SAS, Excel, or similar to query, aggregate and optimize large datasets. Nice to Have Experience with Activity-Based Intelligence (ABI), to understand behavior, patterns, and relationships over time, not just static snapshots. This approach allows analysis to anticipate change rather than simply describe it.

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.

Imperial Dade is the leading independently owned and operated distributor of foodservice packaging and janitorial supplies in North America. As a provider of customized supply chain solutions, we serve customers in many business-to-business market segments, including restaurants, grocery stores, healthcare, sports and entertainment, and cruise lines. Founded in 1935 and headquartered in New Jersey, Imperial Dade serves as a mission-critical partner to more than 120,000 customers through our footprint of 130+ branches. All correspondence will come directly from Imperial Dade and not a personal email address. Imperial Dade, a leading North American distributor, has a Senior Digital Data Scientist role available in Jersey City, NJ or Miami, FL, Texas or other Central or East Coast Time Zones! We are seeking an innovative and digitally focused Senior Data Scientist to accelerate our digital transformation journey in Jersey City, NJ. In this strategic role, you will be at the forefront of leveraging data science and advanced analytics to drive digital product innovation, optimize digital experiences, and inform digital strategy across the organization. You will collaborate closely with digital product, marketing, and technology teams to unlock the value of our data, enhance digital customer journeys, and fuel our growth as a digital-first organization. This is an exciting opportunity for a data science leader who is passionate about shaping the future of digital business through data-driven insights and solutions. This position is from Monday through Friday, from 8:00 am to 5:00 pm. Salary Range: 135,000 to 160,000 + bonus Location variable: The listed salary range is based on the Jersey City, NJ market. Compensation for candidates in other areas will be competitively adjusted to reflect the local market. You will: * Partner with digital product managers and UX teams to analyze user behavior, identify friction points, and recommend enhancements for web and mobile platforms based on transaction and behavioral data. * Build, deploy, and monitor machine learning models that personalize digital experiences, optimize recommendations, and improve digital engagement. * Analyze digital marketing campaigns, A/B test new features, and measure the effectiveness of digital initiatives to maximize ROI. * Develop and maintain dashboards and reporting frameworks that provide real-time insights into digital KPIs, customer journeys, and conversion funnels. * Synthesize data from multiple digital touchpoints (web, app, Sales Portal, CRM, social, e-commerce) to deliver holistic, actionable insights. * Collaborate with business leaders to define and track digital success metrics, supporting strategic decision-making and digital roadmaps. * Evaluate and implement new digital analytics tools and platforms to enhance our capabilities. You have: * 4+ years of experience in data science or advanced analytics, with a strong focus on digital products, digital marketing, or digital transformation. * Master's or PhD in Data Science, Computer Science, Statistics, or a related field preferred. * Proficiency in SQL, Python, & R, and experience with digital analytics tools (Google Analytics, Mixpanel, etc.). * Extensive hands-on experience with Google Tag Manager (GTM) * Deep understanding of digital customer journeys, UX analytics, visualization skills (Power BI, or similar), with the ability to communicate digital insights to diverse audiences. * Experience in machine learning for digital applications, e-commerce, SaaS, or digital product environments (AWS, Azure, GCP) and big data frameworks (Spark, Databricks). * Background in digital experimentation, CRO (conversion rate optimization) experience using Customer Lifetime Value models to identify growth drivers

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!

Job DescriptionDescription: Sr. Data Scientist At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value - not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We'd love for you to join our team! Job Summary B&A is looking for a Senior Exploitation Specialist/Data Scientist to support USSOUTHCOM intelligence operations by exploiting large, complex datasets to generate actionable intelligence insights. This role operates at a senior, independent level and blends intelligence analysis with advanced data science, scripting, and visualization to directly support operational planning and mission execution. The position requires deep intelligence domain expertise, strong analytic tradecraft, and the ability to transform raw data into operationally relevant intelligence products. Responsibilities Conduct advanced data exploitation and analysis in support of intelligence missions within the USSOUTHCOM AOR. Design, develop, and maintain analytic processes and workflows for large, complex datasets to identify patterns, trends, and operational insights. Apply intelligence tradecraft to ensure analytic rigor, objectivity, and compliance with IC analytic standards. Develop and execute senior-level Python scripts to automate data processing, analysis, and discovery. Create clear, mission-focused data visualizations that integrate seamlessly into daily operational workflows. Translate analytic discoveries into intelligence products that directly support operational planning and decision-making. Provide subject matter expertise on Transnational Criminal Organizations (TCOs), including structure, operations, and networks. Analyze and contextualize coca cultivation and production areas within the broader regional security environment. Collaborate with intelligence and operational stakeholders while operating independently with minimal oversight. Ensure analytic outputs align with ICD 203 (Analytic Standards) and ICD 206 requirements. Education and Experience Bachelor's degree in Data Science, Intelligence Studies, Computer Science, Engineering, Mathematics, or a related discipline (Master's degree preferred). Senior-level qualification per the applicable labor category calculator. Significant prior experience supporting intelligence missions, including analytic exploitation and/or applied data science. Demonstrated experience operating independently at a senior level in a mission-focused intelligence environment. Experience supporting or working with NGA, USSOUTHCOM, or DoD intelligence organizations is highly desirable. Required Skills Senior-level proficiency in Python scripting for data processing, automation, and analytics. Advanced experience working with large, complex datasets to generate analytic discoveries. Strong data visualization skills (e.g., dashboards, charts, geospatial or operational visualizations) that support real-time operations. Intelligence analysis expertise, including structured analytic techniques and analytic writing. Deep understanding of: Transnational Criminal Organizations (TCOs) in the USSOUTHCOM AOR Coca cultivation and production regions and associated intelligence indicators Ability to operationalize analytic output-framing intelligence in ways that directly support operational planning and execution. Familiarity with ICD 203 and ICD 206 and the ability to apply them to analytic products. Strong communication skills to brief complex analytic findings to intelligence and operational audiences Security Clearance Active TS/SCI clearance required More About B&A: Notable Clients B&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more. Benefits and Programs B&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life & AD&D, disability, accident, hospital indemnity, and critical illness insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored trainings and certifications, pet insurance benefits, commuter transit benefits and a free subscription to a virtual exercise platform (NEOU). B&A's 401(k) plan is available to all employees and includes a company matching contribution. B&A has launched several programs to focus on employee engagement, wellness, and assistance. These include: The B&A Cares program: 30/60/90-day wellness check ins, personal development, financial management, and stress management seminars, and more A formal mentorship program Job shadowing and cross training opportunities Brand Ambassador program Employee Assistance Program (EAP) - Access to various support resources to include counseling, legal guidance, financial planning, and more Monthly teambuilding events B&A Annual Wellness Challenges: #StepWithB&A, #WalkDuringLunchWithB&A, #VolunteeringWithB&A, #ExerciseDuringLunchWithB&A, and more At B&A, we place significant importance on improving the communities and lives of citizens across the nation through our involvement, technology expertise, and employees. B&A puts an emphasis on charitable efforts in the Northern Virginia area, including Capital Area Food Bank pantry drives, book donations, Hope for Henry Foundation events, and many more. In recognition of all these efforts, B&A has been named a Companies as Responsive Employers (CARE) award recipient by Northern Virginia Family Services and nominated by the Northern Virginia Chamber of Commerce for Outstanding Corporate Citizenship Award. EEO B&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B&A's offices, and other workplaces (including client sites) and all other locations where B&A is providing services, and to all work-related activities. EEO is the Law B&A participates in e-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 Form to confirm work authorization. Requirements:

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

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.

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.

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

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

Every day, decision are made that shape operations across the U.S. Southern Command area of responsibility. Those decisions depend on intelligence that is clear, defensible, and timely intelligence that turns geospatial data into understanding. This role exists to make that happen. This is an exciting opportunity to join us as a Senior GEOINT Data Scientist to support the National Geospatial-Intelligence Agency (NGA) on high-priority mission. The work is operational, mission-driven, and grounded in real-world impact to inform planning, targeting, and execution. Across the USSOUTHCOM AOR, transnational criminal organizations adapt quickly, shifting routes, methods, and infrastructure. Coca cultivation and production regions change. Networks evolve. The data is massive, fragmented, and imperfect. You will be sought to bring order to that complexity. Taking large, diverse datasets and building analytic processes that expose patterns, relationships, and behaviors others can't see. You'll design workflows that can be repeated, trusted, and scaled. This is a senior, independent role. You will lead analytic efforts with minimal direction, applying experience, judgment, and rigor to every product. Ensuring analytic standards are met, assumptions are clear, and conclusions are defensible aligned with ICD 203 and ICD 206. Collaborating across NGA and Intelligence Community partners, you'll help integrate perspectives and strengthen collective understanding. Advising government leadership on analytic methodologies, processes, and technologies, while mentoring others and setting the standards for quality and relevance. The mission will keep moving, network will adapt, patterns will shift, and new questions will emerge. What won't change is the need for intelligence that is trusted, actionable, and timely. If you want to be a part of delivering that clarity, join XTS today! Requirements Current active Top Secret / SCI clearance and willingness to obtain CI poly You have achieved the accomplishment of a Master's degree + 5 years / Bachelor's degree + 7 years / Associate's degree + 8 years / 10 + years of relevant experience. You have robust proficiency in Python in order to automate and create solutions that scale, adapt, and withstand mission demands. You have gained strong expertise in building processes around large datasets to support in designing repeatable methods that extract real discoveries from complexity. You have a strong skillset in operational visualization in order to make discoveries and present them through clear, intuitive visualizations that team can use immediately in daily operations. Experienced with GEOINT standards and structured data management to ensure accuracy, consistency, and trust in the intelligence delivered. Experience with tools such as ArcGIS, Tableau, SPSS, SAS, Excel, or similar to query, aggregate and optimize large datasets. Nice to Have Experience with Activity-Based Intelligence (ABI), to understand behavior, patterns, and relationships over time, not just static snapshots. This approach allows analysis to anticipate change rather than simply describe it. If you're ready to apply your intelligence background and technical expertise to problems of national importance, ensuring NGA's mission is carried out with precision, speed, and impact, send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer a GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and the continued support to your professional growth.

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.

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities * Analyze and Monitor Network Performance * Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. * Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. * Modeling & Optimization * Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. * Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. * Reporting & Governance * Develop periodic performance and reliability reports for customers, assisting in presentation creation * Produce regular and ad hoc reports to monitor compliance with established operating parameters. * Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. * Cross-Functional Collaboration * Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. * Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. * Innovation & Continuous Improvement * Identify opportunities to streamline workflows and automate recurring analyses. * Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications * Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) * Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. * 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning * Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. * Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. * Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. * A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. * Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $109,500 -148,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement "Know Your Rights: Workplace Discrimination is Illegal" Poster The "EEO Is The Law" Poster

Job Description Every day, decision are made that shape operations across the U.S. Southern Command area of responsibility. Those decisions depend on intelligence that is clear, defensible, and timely intelligence that turns geospatial data into understanding. This role exists to make that happen. This is an exciting opportunity to join us as a Senior GEOINT Data Scientist to support the National Geospatial-Intelligence Agency (NGA) on high-priority mission. The work is operational, mission-driven, and grounded in real-world impact to inform planning, targeting, and execution. Across the USSOUTHCOM AOR, transnational criminal organizations adapt quickly, shifting routes, methods, and infrastructure. Coca cultivation and production regions change. Networks evolve. The data is massive, fragmented, and imperfect. You will be sought to bring order to that complexity. Taking large, diverse datasets and building analytic processes that expose patterns, relationships, and behaviors others can't see. You'll design workflows that can be repeated, trusted, and scaled. This is a senior, independent role. You will lead analytic efforts with minimal direction, applying experience, judgment, and rigor to every product. Ensuring analytic standards are met, assumptions are clear, and conclusions are defensible aligned with ICD 203 and ICD 206. Collaborating across NGA and Intelligence Community partners, you'll help integrate perspectives and strengthen collective understanding. Advising government leadership on analytic methodologies, processes, and technologies, while mentoring others and setting the standards for quality and relevance. The mission will keep moving, network will adapt, patterns will shift, and new questions will emerge. What won't change is the need for intelligence that is trusted, actionable, and timely. If you want to be a part of delivering that clarity, join XTS today! Requirements Current active Top Secret / SCI clearance and willingness to obtain CI poly You have achieved the accomplishment of a Master's degree + 5 years / Bachelor's degree + 7 years / Associate's degree + 8 years / 10 + years of relevant experience. You have robust proficiency in Python in order to automate and create solutions that scale, adapt, and withstand mission demands. You have gained strong expertise in building processes around large datasets to support in designing repeatable methods that extract real discoveries from complexity. You have a strong skillset in operational visualization in order to make discoveries and present them through clear, intuitive visualizations that team can use immediately in daily operations. Experienced with GEOINT standards and structured data management to ensure accuracy, consistency, and trust in the intelligence delivered. Experience with tools such as ArcGIS, Tableau, SPSS, SAS, Excel, or similar to query, aggregate and optimize large datasets. Nice to Have Experience with Activity-Based Intelligence (ABI), to understand behavior, patterns, and relationships over time, not just static snapshots. This approach allows analysis to anticipate change rather than simply describe it. If you're ready to apply your intelligence background and technical expertise to problems of national importance, ensuring NGA's mission is carried out with precision, speed, and impact, send your resume directly to Lanchi Lai at ********************** At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer a GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and the continued support to your professional growth. Powered by JazzHR G20W6zhg7H