Data scientist jobs in Poinciana, FL - 110 jobs

At Holiday Inn Club Vacations, we believe in strengthening families. And we look for people who exhibit the courage, caring and creativity to help us become the most loved brand in family travel. We're committed to growing our people, memberships, resorts and guest love. That's why we need individuals who are passionate in life and bring those qualities to work every day. Do you instill confidence, trust and respect in those around you? Do you encourage success and build relationships? If so, we're looking for you. POSITION DESCRIPTION: The Data Scientist, Customer Modeling is a core builder of our enterprise customer data and predictive analytics capability. This role transforms customer, behavioral, and performance data into predictive intelligence that drives activation, retention, optimized channel engagement, and long-term customer value. Partnering closely with Performance Marketing, Analytics, Audience Strategy, and Technology, this role will lead the development of a suite of predictive and propensity models and ensures they are aligned to business priorities, validated in-market, and driving measurable ROI. The Data Scientist also provides leadership to an analyst who supports model development, validation, and exploratory analytics. ESSENTIAL DUTIES AND TASKS (up to five): % of Time (equals 100%) * Lead predictive model development end-to-end * Design, build, validate, deploy, and maintain a suite of propensity, attrition, LTV, and channel models that directly influence activation, retention, and ROI. (30%) * Translate strategic business needs into modeling requirements * Lead partnership with cross-functional stakeholders to define outcomes, prioritize development, and ensure models reflect business rules, funnel dynamics, and performance drivers. (20%) * Conduct deep data exploration and guide data engineering requirements * Support the assessment of data quality, understand transformations, define feature needs, partner with Technology identifying gaps in EDW, data capture, and documentation that impact modeling integrity. (25%) * Establish rigorous measurement and testing frameworks * Including holdouts, back-testing and lifecycle validation; continuously monitor model drift, re-score, re-train, and ensure KPIs (activation, usage, conversion, engagement, margin impact, etc) are accurately measured and communicated. (15%) * Lead, mentor, and elevate analytical capability by overseeing an analyst supporting model development and validation, defining modeling best practices, and ensuring model outputs are understood, leveraged, and integrated into performance optimization across teams. (10%) This job description in no way states or implies that these are the only duties to be performed by the employee in this position. It is not intended to give all details or a step-by-step account of the way each procedure or task is performed. The incumbent is expected to perform other duties necessary for the effective operation of the department. SUPERVISORY RESPONSIBILITIES Provides day-to-day leadership and oversight of 1-2 analysts supporting modeling and validation efforts. Responsible for coaching, workload management, and establishing analytical standards for model development. EDUCATION and/or EXPERIENCE * BA/BS or MS in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field. * 3-5+ years of hands-on predictive modeling experience (marketing, CRM, or revenue optimization preferred). * Demonstrated expertise in Python, R, Azure ML machine learning frameworks, and SQL. * Experience working with large-scale data environments, customer lifecycle data, and marketing/test design frameworks. * Experience collaborating with Data Engineering and Technology teams to define data requirements and pipelines. CERTIFICATES, LICENSES, REGISTRATIONS Valid driver's license and reliable transportation (required). This role may include on-site content capture at resorts and other properties. QUALIFICATIONS * Deep knowledge of statistical modeling, machine learning algorithms, and feature engineering. * Ability to translate complex analytical findings into clear, actionable insights for non-technical leaders. * Strong critical-thinking and problem-solving skills grounded in business outcomes and operational feasibility. * Skilled in managing long-cycle testing and validating performance across upstream and downstream funnel metrics. * Confident communicator able to influence stakeholders, guide interpretation of predictive outputs, and recommend actions. * Self-starter who thrives in fast-paced, evolving environments and champions a culture of data-driven decision-making. * High attention to detail and ability to move work forward quickly in a fast-paced environment. PHYSICAL DEMANDS While performing the duties of this job, the employee may be required to sit or stand for extended periods of time, bend, twist, reach, push, pull, and operate office machinery. Must be able to lift up to thirty pounds. WORKING CONDITIONS The majority of work will be performed in a climate-controlled office environment at the Corporate Headquarters in Orlando, Florida. Occasional travel to resorts and locations for content gathering may be required. Employee may be exposed to inclement weather and varying degrees of temperature while on property. WORK SCHEDULE/HOURS This is a hybrid role: four days per week in the Orlando corporate office, one day remote. Schedules may vary depending on business needs and may include occasional nights, weekends, and holidays.

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness. Job Description Data Scientist. Orlando, FL Full Time Position Need GC and USC This person will be responsible for conducting analyses of complex and varied healthcare and other data to demonstrate the value of new technology implementations and process improvements to create business insights that drive decision-making. Uses descriptive and inferential statistics, data mining, predictive modeling and machine learning techniques to develop insights that will optimize cost and patient outcomes. Top 3 skills: Proficient in analytical and programming skills including SQL, Advanced Excel and SPSS or R. Background in Statistics/applied research 2+ years' experience working in a healthcare environment Masters or PhD (preferred PhD) Additional Information If you are interested please share your resume to preethib@usmsystems(dot)com or can directly call me on ************

Job Description Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services. The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients. Data Scientist I Description of specific duties in a typical workday for this position: Applies statistics and data science methods to develop insights, prototypes, and decision-support analyses that improve CPE-STRI program performance and modernization outcomes as well as supporting Agile Solution Implementation for providing proactive metrics analysis (e.g. Velocity and Capacity Forecasting) Works with senior data scientists and engineers to prepare data, run experiments, and communicate results to technical and non-technical stakeholders. Key Responsibilities include: Perform exploratory data analysis, feature engineering, and baseline model development. Develop reproducible notebooks/scripts and document assumptions, methods, and results. Support model validation, bias checks, and monitoring plans. Collaborate with engineers to transition prototypes into deployable pipelines where appropriate. Requirements (Years of experience, Education, Certifications): 5 years of experience with BA/BS (or equivalent). Experience with Python/R and common statistical/ML libraries; comfortable communicating analytic results. Familiarity with data ethics, validation, and reproducibility practices. Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field Active SECRET strongly desired; ability to obtain and maintain SECRET (or higher) required. Task-order DD254 may require higher clearance (e.g., TS/SCI). Nice to Have (skills that are not required, but nice to have): Exposure to operational datasets and performance metrics in DoD or large enterprise contexts Experience with visualization tools to communicate results Experience working with protected data and RBAC This is a full-time position paying a base salary, full benefits, and has possible bonus potential based on merit and performance. To be considered for this position, please apply online with a resume. OST is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local laws.

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

At Holiday Inn Club Vacations, we believe in strengthening families. And we look for people who exhibit the courage, caring and creativity to help us become the most loved brand in family travel. We're committed to growing our people, memberships, resorts and guest love. That's why we need individuals who are passionate in life and bring those qualities to work every day. Do you instill confidence, trust and respect in those around you? Do you encourage success and build relationships? If so, we're looking for you. POSITION DESCRIPTION: The Data Scientist, Customer Modeling is a core builder of our enterprise customer data and predictive analytics capability. This role transforms customer, behavioral, and performance data into predictive intelligence that drives activation, retention, optimized channel engagement, and long-term customer value. Partnering closely with Performance Marketing, Analytics, Audience Strategy, and Technology, this role will lead the development of a suite of predictive and propensity models and ensures they are aligned to business priorities, validated in-market, and driving measurable ROI. The Data Scientist also provides leadership to an analyst who supports model development, validation, and exploratory analytics. ESSENTIAL DUTIES AND TASKS (up to five): % of Time (equals 100%) Lead predictive model development end-to-end Design, build, validate, deploy, and maintain a suite of propensity, attrition, LTV, and channel models that directly influence activation, retention, and ROI. (30%) Translate strategic business needs into modeling requirements Lead partnership with cross-functional stakeholders to define outcomes, prioritize development, and ensure models reflect business rules, funnel dynamics, and performance drivers. (20%) Conduct deep data exploration and guide data engineering requirements Support the assessment of data quality, understand transformations, define feature needs, partner with Technology identifying gaps in EDW, data capture, and documentation that impact modeling integrity. (25%) Establish rigorous measurement and testing frameworks Including holdouts, back-testing and lifecycle validation; continuously monitor model drift, re-score, re-train, and ensure KPIs (activation, usage, conversion, engagement, margin impact, etc) are accurately measured and communicated. (15%) Lead, mentor, and elevate analytical capability by overseeing an analyst supporting model development and validation, defining modeling best practices, and ensuring model outputs are understood, leveraged, and integrated into performance optimization across teams. (10%) This job description in no way states or implies that these are the only duties to be performed by the employee in this position. It is not intended to give all details or a step-by-step account of the way each procedure or task is performed. The incumbent is expected to perform other duties necessary for the effective operation of the department. SUPERVISORY RESPONSIBILITIES Provides day-to-day leadership and oversight of 1-2 analysts supporting modeling and validation efforts. Responsible for coaching, workload management, and establishing analytical standards for model development. EDUCATION and/or EXPERIENCE BA/BS or MS in Data Science, Statistics, Computer Science, Applied Mathematics, or related quantitative field. 3-5+ years of hands-on predictive modeling experience (marketing, CRM, or revenue optimization preferred). Demonstrated expertise in Python, R, Azure ML machine learning frameworks, and SQL. Experience working with large-scale data environments, customer lifecycle data, and marketing/test design frameworks. Experience collaborating with Data Engineering and Technology teams to define data requirements and pipelines. CERTIFICATES, LICENSES, REGISTRATIONS Valid driver's license and reliable transportation (required). This role may include on-site content capture at resorts and other properties. QUALIFICATIONS Deep knowledge of statistical modeling, machine learning algorithms, and feature engineering. Ability to translate complex analytical findings into clear, actionable insights for non-technical leaders. Strong critical-thinking and problem-solving skills grounded in business outcomes and operational feasibility. Skilled in managing long-cycle testing and validating performance across upstream and downstream funnel metrics. Confident communicator able to influence stakeholders, guide interpretation of predictive outputs, and recommend actions. Self-starter who thrives in fast-paced, evolving environments and champions a culture of data-driven decision-making. High attention to detail and ability to move work forward quickly in a fast-paced environment. PHYSICAL DEMANDS While performing the duties of this job, the employee may be required to sit or stand for extended periods of time, bend, twist, reach, push, pull, and operate office machinery. Must be able to lift up to thirty pounds. WORKING CONDITIONS The majority of work will be performed in a climate-controlled office environment at the Corporate Headquarters in Orlando, Florida. Occasional travel to resorts and locations for content gathering may be required. Employee may be exposed to inclement weather and varying degrees of temperature while on property. WORK SCHEDULE/HOURS This is a hybrid role: four days per week in the Orlando corporate office, one day remote. Schedules may vary depending on business needs and may include occasional nights, weekends, and holidays.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization. Responsibilities: * Develop sophisticated generative AI solutions; provide technical guidance to a team of data scientists * Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization * Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions * Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions * Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines * Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality * Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments * PhD or Master's degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required * Hands-on expertise with generative AI including extensive experience with LLMs (for example, Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel * Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search * Solid understanding of the software development lifecycle (SDLC) in an agile environment; experienced with version control tools like Git and CI/CD tools within Azure DevOps * Exceptional analytical skills; able to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders(200TEC) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services. The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients. Data Scientist I Description of specific duties in a typical workday for this position: * Applies statistics and data science methods to develop insights, prototypes, and decision-support analyses that improve CPE-STRI program performance and modernization outcomes as well as supporting Agile Solution Implementation for providing proactive metrics analysis (e.g. Velocity and Capacity Forecasting) * Works with senior data scientists and engineers to prepare data, run experiments, and communicate results to technical and non-technical stakeholders. * Key Responsibilities include: * Perform exploratory data analysis, feature engineering, and baseline model development. * Develop reproducible notebooks/scripts and document assumptions, methods, and results. * Support model validation, bias checks, and monitoring plans. * Collaborate with engineers to transition prototypes into deployable pipelines where appropriate. Requirements (Years of experience, Education, Certifications): * 5 years of experience with BA/BS (or equivalent). * Experience with Python/R and common statistical/ML libraries; comfortable communicating analytic results. * Familiarity with data ethics, validation, and reproducibility practices. * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field * Active SECRET strongly desired; ability to obtain and maintain SECRET (or higher) required. Task-order DD254 may require higher clearance (e.g., TS/SCI). Nice to Have (skills that are not required, but nice to have): * Exposure to operational datasets and performance metrics in DoD or large enterprise contexts * Experience with visualization tools to communicate results * Experience working with protected data and RBAC This is a full-time position paying a base salary, full benefits, and has possible bonus potential based on merit and performance. To be considered for this position, please apply online with a resume. OST is an equal opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local laws.

Leidos is seeking a university student to join our Orlando-based team as Software Development Interns supporting Internal Research and Development (IRAD) efforts. This internship offers an opportunity to contribute to exploratory projects in Artificial Intelligence (AI), data engineering, and advanced software development - all in support of Leidos' internal innovation and national security customer missions. We welcome applicants from a variety of academic backgrounds who have strong interest or experience in computing, data, or AI. This role emphasizes hands-on, applied research and prototyping in modern software and AI ecosystems. Primary Responsibilities * Contribute to IRAD projects involving Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) * Support the development of multimodal AI systems that combine visual, textual, geospatial, and sensor data * Assist in designing data pipelines that transform structured and unstructured data into AI/ML-ready formats * Prototype AI applications and perform experimental evaluations, including AI safety and reliability testing * Collaborate with multidisciplinary teams on simulation, modeling, and decision support tools * Document findings, write test code, and iterate based on feedback and research outcomes Basic Qualifications * Actively enrolled in an undergraduate or graduate program at the University of Central Florida * U.S. citizenship and the ability to obtain and maintain a Secret security clearance * Strong interest in or exposure to programming, AI/ML, or data science * Familiarity with one or more modern programming languages (e.g., Python, Java, C++, JavaScript) Preferred Qualifications * Coursework, projects, or hands-on experience in areas such as: * Artificial Intelligence or Machine Learning * Computer Vision or Multimodal Models * Natural Language Processing or Large Language Models * Data engineering or data wrangling * Familiarity with data labeling, data cleaning, or preparing training sets for AI * Interest in AI safety, bias mitigation, or explainability * Creative problem-solving skills and eagerness to work on exploratory, research-driven efforts If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: November 6, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $48,100.00 - $86,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Learning begins in the classroom but there's no better place to gain real-world experience than with Stantec. Interns are an integral part of our teams, working to solve some of the world's most complex challenges. As an intern, you'll work alongside our experienced practitioners and with our clients and communities. This hands-on experience will equip you with practical skills, build your network, and provide opportunities that set you up for success. Your Opportunity We create the connections that get people and goods moving-whether by car, bus, train, plane, or their own two feet. Working within the context of the communities we serve, we provide planning, engineering, and infrastructure management services that fit the needs of our clients and improve the overall transportation experience. Join our Transportation Business Line and Major Projects Team as a Data Science Intern in our Orlando, FL office and play a key role in driving industry research, market intelligence, and strategic insights to support business growth. This role provides a valuable opportunity to engage with digital tools and research methodologies that shape the transportation sector. Your Key Responsibilities Conduct in-depth market research on the Transportation Market in North America, identifying emerging trends, key players, and industry dynamics. Analyze upcoming business pursuits, providing insights into potential projects and competitive positioning. Investigate past wins and market trends to inform data-driven business strategies. Research leading construction companies, examining their market presence, capabilities, and project involvement within the transportation industry. Collaborate with internal teams to design and develop methodologies for data exploration (EDA), hypothesis testing, and modeling using advanced statistics, machine learning, and data analytics. Support the digital transformation efforts in transportation by contributing to research and the development of innovative digital solutions. Qualifications Your Capabilities and Credentials Strong analytical skills and ability to extract meaningful insights from complex datasets. Excellent problem-solving, communication, and interpersonal skills. Ability to independently manage multiple priorities and work within all levels of an organization. Familiarity with Microsoft Office 365 Suite and an openness to developing low-code/no-code skill sets. Passion for the transportation industry and willingness to explore innovative approaches to business research. Education and Experience Currently pursuing a degree in Data Science, Construction Management, Business Analytics, Transportation Engineering, Economics, or a related field. This internship offers exposure to market research, business strategy, digital transformation, and data-driven decision-making within the transportation sector. Interns will work closely with innovation and strategy leaders, gaining practical experience in shaping business intelligence solutions. This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice. Stantec is a place where the best and brightest come to build on each other's talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.

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

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

Comtech is a woman-owned small business founded in 1998 and headquartered in Reston, VA. We offer IT solutions across the disciplines of program/project management, applications development, infrastructure, Cyber security, and enterprise content/data management services. We have developed our methodologies and processes based on the IT Infrastructure Library (ITIL) v.3 Framework across enterprise infrastructure operations. These methodologies and processes are reinforced through our organization's externally accredited certifications, which include ISO 9001:2008 Quality Management System (QMS), ISO/IEC 20000-1:2011 IT Service Management Systems (SMS, corporate ITIL certification), ISO 27001:2005 Information Security Management System (ISMS), and CMMI-DEV Level 3" Job Description Java Big Data consultant with expertise in AWS Location: Orlando-FT or Seattle, WA 6 months extendable Based on expert skills. Interview Process: 1 Skype Video Round , 2 Customer Skype rounds Based on expert skills. JD• The skills are to help me build the Data Management Cloud Platform:• Looking for Engineers who have experience in Java, AWS Cloud, BigData/Data Managementknowledge, Experience in automation and or building CICD pipelines.• Experience in Java, AWS, Big Data is critical• Experience in Dockers, Terraform, Jenkins, Python is optional• 8-10 years of experience in Core Java with alteast 3 years of experience in Big Data Infrastructure ExpertiseUnderstanding of Amazon EMR and related technologies EMR Configuration,Nodes,Pipeline Building,Security Streaming Architecture & Programming Skills ExpertiseUnderstanding of Streaming tools, availability and programming skills. Kafka and its basicchallenges,High availability configuration and testing,Scala tools,Languages - Scala/Java/Python,LambdaSpark jobs and few other things related to Spark Note: During profile screening check if the candidate has worked in Streaming Use Cases for 3-4 years or worked with high velocity - high volume data processing using Spark, Scala, Kafka. Additional Information Regards Amit Singh ************

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Empowering players to create is an exciting future for the gaming industry. At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit. We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you! As a Senior AI Data Scientist you will: * Build, fine-tune and implement AI and machine learning models to solve challenging problems * Ensure AI and machine learning production pipelines are scalable, repeatable and cloud agnostic * Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas * Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and technique * Work in partnership with game teams to integrate AI solutions into products and services. * Optimize and fine-tune AI models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve AI models. * Document and present findings and solutions to stakeholders. Desired qualifications and experience: * A minimum of 3+ years of experience in data science * PhD or MSc in statistics, mathematics, computer science, or related field * Strong expertise in deep learning, fluent in Python and SQL * Expertise in automating machine learning models and building end to end products * Experience with devops tools and principles (Git, CI/CD, Docker) * Effective within Cloud environments (GCP, AWS) * Understanding of containerization and orchestration technologies (Docker, Kubernetes, etc.) * C++ and game development experience is a plus. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$138,700 - $199,900 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$160,600 - $249,300 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$149,200 - $205,500 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

Responsible for technical design, writing, support and operations of efficient, scalable, and extensible data integrations and ingestions. Implement effective solutions from the ground up and investigate anomalies in a mature running data platform and environment. Work with business, developers, analysts, architecture and product owners to develop data integration and ingestion solutions that are critical to the enterprise analytics, reporting and application environments leveraged by all areas of the business. Perform all data platform related configuration, software and server installations, upgrades and patching partnering with the necessary Infrastructure, IT Security and other teams as needed. MAJOR RESPONSIBILITIES: + Implement enhancements for prioritized data integration and ingestions work efforts partnering with the business to ensure they meet the specified requirements. + Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment. Ensuring root cause resolution to identified problems. Monitor and support the campaign management environment and processes in order to meet the daily SLA. + Recommend and code efficient and effective data integration and ingestion solutions for challenging problems for medium to large work efforts of medium to high complexity. Translate business requirements, data mappings into data integrations and ingestions code solutions. + Support Release and Change Management processes along with other UPT Compliance initiatives. Work effectively with Technology Operations/Infrastructure teams to ensure continued operations and maintenance of the data integrations and ingestions as well as the data platform and environment. + Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities. + Performs other duties as assigned. EDUCATION: + Technical degree, Bachelor's degree; + or highly relevant equivalent experience is required. EXPERIENCE: + 7+ years of demonstrated experience working as part of large Information Technology teams and/or consulting organizations partnering with clients/business groups in a role developing and supporting a complex data environment; or equivalent combination of education and experience. Strong understanding of software development lifecycle + Experience in a transaction-based environment is a MUST + Proficient with scripting languages, data ingestion tools and corresponding tools, preferably Python, Pip, Pipenv, Bash, Scala, Spark, PySpark ScalaSpark, NIFI, and Java Script, and one object-oriented language like Java/C# + Able to work in and with Cloud and non-cloud technologies like AWS, Azure, Hadoop etc. + Experience with one or more relational databases/data technologies like DB2, SQL Server, Snowflake. Able to write and ready complex SQL, stored procedures and leverage backend databases. Should be able to triage database performance issues with SQL being sent to the database. Able to read and explain plans, and understand the complexity. + Experience working with scheduling, automation, file transfer, monitoring, alerting, notification and logging tools like Airflow, RunDeck, SFTP etc. + Experience working in Linux environment + Experience with source control management such as Git and/or SVN + Strong problem solving skills, and the ability to communicate complex concepts clearly and accurately + Familiarity with no-SQL databases like Couch, MongoDB, Hbase or Cassandra + Knowledge of Data Science, Analytics and Business Intelligence/Reporting practices and tools as it pertains to data platforms and environments (R-Studio, Jupyter, Zeppelin, Tableau or DsX) + Experience interacting with Kafka and API/Service programming and transactional databases + Experience with principles of data governance and quality as well as tools used (i.e. Ranger, Atlas) + Understanding of containers, resource management or YARN is desirable + Able to perform software and server installations, patching and upgrades. + Participate in an on-call rotation and available to work off-hours, holidays and weekends. + Must be able to partner with other teams and developers effectively. + Strong knowledge of systems development and project management Agile methodologies/processes. + Demonstrated ability to produce high quality technical documentation. + Able to quickly meet changing business requirements. + Able to complete work items, validate the results and present deliverable to the business for review with minimal to no defects. + Able to understand and interpret Entity-Relationship, logical and physical data models. + Work with change management processes to ensure smooth migration between dev, QA and production environments. + Monitor and maintain all the system processes. + Ensure system issues are resolved in a timely manner. + Strong interpersonal skills, with a demonstrated ability to make effective decisions while working through complex system issues. + Must be able to utilize and effectively communicate functional and technical components of an initiative to applicable parties both verbally and through documentation. + Coordinate the necessary operations documentation and standards required for compliance and identified best practices. + Problem and Change Management ITIL ServiceNow toolset in tracking and providing status on support work activities. + Attention to detail, good analytical and problem solving skills and critical thinking. + Self-starter/motivator with a proactive, agile and strategic mindset. Able to work independently. + Provide work estimates on break-fixes and enhancements. + Facilitate and lead meetings with end users to discuss issues and open work items. + Keeps management, team members and business stakeholders informed of critical issues, status, changes, etc. + Willingness to learn new technologies, tools, and approaches to problem-solving Your talent, skills and experience will be rewarded with a competitive compensation package. Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means. Universal Orlando Resort. Here you can. Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & © 2025 Universal Studios. All rights reserved. EOE

Department Description At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. Team Description: The Data Solutions & Products group is part of Enterprise Technology. We are responsible for designing and developing enterprise solutions and managing a diverse portfolio of products and tools related to Data, Analytics and Automation used by business teams across The Walt Disney Company. The Lead Data Platform Engineer position is one of the key technical leadership roles on the team. You will have the opportunity to be the Lead Engineer for major development projects related to data & analytics solutions and platforms. The first project this role will be responsible as the Lead Engineer for leading is the implementation of a Finance Data Layer-a data lakehouse that provides data to Finance systems and applications including an EPM system, BI reporting & analytics, and AI/ML applications. You will be working in a challenging, fast-paced, highly collaborative and rewarding environment, as a member of product and project teams that work closely with each other and with our business partners to deliver innovative and industry-leading business solutions. What You'll Do: * Leading teams of developers (both Disney Cast Members and external vendors) in major software/data development projects. * Designing and developing highly scalable, distributed enterprise data platform solutions. * Design, develop and implement scalable distributed enterprise data platform solutions, focusing on multi-cluster warehousing, data sharing, and optimized storage. * Write code that establishes and enhances frameworks and design proof of concepts, and review code for correctness, and its impact on software architecture. * Lead the development of high-performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources. * Provide mentorship and direction to more junior software engineers on the team; serve as an advanced resources for other engineers on the team. * Being the ongoing technical lead for data platform products (post-implementation)-leading engineering support for the production platform, leading ongoing enhancement projects, guiding technical product roadmap * Partner with Data Science, Analytics, and Product teams to ensure the platform meets evolving business requirements. * Establish standards for data modeling (Vault, Star Schema), security (RBAC), and data quality frameworks. * Excellent communication skills, ability to communicate well to both technical and business audiences * Strong collaboration skills Required Qualifications & Skills: * 7+ years of professional programming and design experience in Scala, Java, Python etc.; demonstrated experience designing and developing enterprise data solutions and platforms * Demonstrated experience leading engineering initiatives on major software and data development projects * Experience with medallion-based data Lakehouse architectures * Experience with high-scale cloud data platforms and with at least one major cloud provider (AWS, Azure, or GCP) * Expert knowledge of data integration, dimensional modeling and data warehousing techniques. * Experience implementing CI/CD pipelines for data * Proficiency in Java, SQL * Experience with Snowflake Preferred Qualifications: * Experience with enterprise data domains is preferred (especially Finance and HR data) * Experience with AI/ML * Experience with SAP Systems (S4, BW, HANA, BDC) * Experience with EPM Systems (e.g. Oracle EPM) * Experience with Data Governance * Experience with Master Data Management * Experience with BI tools Required Education: * Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience * Master's Degree a Plus #DISNEYTECH The hiring range for this position in Burbank, CA is $155,700 - $208,700 per year and in Seattle, WA is $163,100 - $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About The Walt Disney Company (Corporate): At Disney Corporate you can see how the businesses behind the Company's powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you'll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate). Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney! You will be a part of a group of experienced engineers in the Data Products & Platforms team within the Technology & Digital organization for Disney Experiences (DX). As a Sr Data Engineer you will report into the Manager, Engineering who oversees Cast data initiatives. Do you love data? Are you a supportive contributor who can drive excellence in delivery? Come join us! We are looking for a Senior Data Engineer to develop and successfully deliver data products and solutions. Responsibilities: Contribute to the design and growth of our Data Products and Data Warehouses around Content Performance and Content Engagement data. Design and develop scalable data warehousing solutions, build ELT pipelines in Big Data environments (cloud, on-premise, hybrid) Use our tech stack including AWS, Snowflake, Data Build Tool (DBT) and Automic UC4/Airflow to transform, store, retrieve, and distribute Financial Management data. Help architect data solutions/frameworks and use dimensional modeling to define data assets in a medallion structure Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions Maintain detailed documentation of your work and changes to support data quality and data governance Ensure high operational efficiency and quality of your solutions to meet SLAs and support a dedicated focus on our customers (Data Science, Data Analytics and Business teams) Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team Qualifications 5+ years of data engineering experience, developing large data pipelines Strong SQL skills writing queries to extract data and build performant datasets Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. Hands-on experience with AWS tool stack such as Lambda, Kinesis, DMS, AppFlow, EventBridge) to ingest process data Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query) Expert level experience with SQL/T-SQL and ability to create and tune queries Agile and Scrum experience Strong attention to detail with excellent analytical, problem-solving, and communication skills Solid experience with data integration toolsets (Airflow) and writing and maintaining Data Pipelines Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices Preferred Education: Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. The hiring range for this position in Florida is $135,200.00-$181,200.00 and in California is $141,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: DX Technology Job Posting Primary Business: Disney Signature Experiences Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - Disneyland Service - Bldg 700 Complex Date Posted: 2026-01-15

Job Title: Sr. Non-Clinical Biostatistician About the Job We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. The Biostatistics Manager of the TED (Translational and Early Development) team supports Vaccine R&D under the supervision of the head of Preclinical or Non-Clinical Team and/or the TED Global head who are all part of the Global Biostatistical Sciences (GBS) team. As a core objective, his/her responsibilities include but not limited to provide statistical support in R&D for pre-clinical work, bioassay and biomarker research and/or CMC, biological assay, and biomarker research. He/She will work in close collaboration with the scientists and/or projects managers and under the supervision of the senior managers of the TED Team. He/She will assume responsibility for methodological and statistical aspects of pre-clinical and/or non-clinical studies, with general direction from Research Project Leader or technicians. He/she will provide critical input on the design and analysis so that accurate assessments are made for decision-making, while ensuring compliance with regulatory expectations. Main responsibilites Acts as the lead statistician and provides support, with minimal supervision from manager or TED Global Head, to the preclinical research team or non-clinical team on statistical requests and on all relevant statistical matters. His/her responsibility includes but not limited to: * Develop the digital mindset and data science of the clients under his/her responsibility (communications, training, etc.). * Support the digital evolution of the site within its scope of activity. * Perform technology watch on data science topics and be the referent for the platform. * Provides statistical input in the design of experiments with regards to available information and assumptions of in vivo or in vitro preclinical studies and/or research, clinical and analytical (CMC) bioassay development. * Contribute to the setup of the study to make sure data are adequately captured and collected to address the study objectives. * Provide statistical support of experimental design, statistical methodology, statistical programming, and data analyses. * Provide statistical analyses (planning, prioritization, application forms, analysis reports), write statistical memos/reports, communicate, and explain to scientists the statistical conclusions. * Accountable for all statistical operations, including but not limited to: Sample size calculation and design of experiment, if applicable, Suitability and compliance of randomization plan, if applicable, Quality, compliance, and delivery of statistical methodology & statistical reports. * Accountable for the statistical scientific content: Selects statistical methodology to support the objectives of the studies, Drives risk assessment for study conclusions if applicable, Statistical interpretation of results driving study conclusion, Proposes, prepares, and performs exploratory data analyses, ad-hoc analyses when applicable. * Links with other internal and external stakeholders (such as R&D compliance, Functional Planner, Project Manager, CROs, etc.) * Under supervision of the senior manager of the TED team or Research lead, participates in project activities such as assist in preclinical development plan, decision-making meetings, integrated analyses and dossier preparation, submission (IND and CTD) and follow-up (publication). * Acts as representative in internal initiatives within TED and GBS. * Presents internally and externally topics related to statistical activity. Management activity: Cross-functional management: Collaborates with more junior statisticians or contingent workers for the preparation and production of statistical report & analyses/programming. Accountable for management of the activities that are outsourced to external partners (CROs). Education/Experience Education * Master's degree in Statistics with 4 years industry experience OR * PhD in Statistics/Biostatistics with internship in life science Experience * Experience in Life Sciences industries is a must. * Technical expertise in statistics, data science, statistical modelling, etc. Soft Skills * Good communication skills. * Ability to work in a multi-cultural environment. * Ability to work in a team (team spirit, ease of communication). * Eager to learn and open-minded. * Good time management. * Autonomous. Statistical Tools * R, JMP, Other softwares (e.g. SAS or Phython) is a plus. Language * Effective English in terms of verbal and written communication skills. Why choose us? * Bring the miracles of science to life alongside a supportive, future-focused team. * Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. * Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. * Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SP #LI-SP #vhd Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $100.500,00 - $145.166,66 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.