Risk Management Data Scientist - ( 2400015A ) Description As energy availability becomes increasingly critical, there's no end to the scope and significance of your work - and to where it can take you at Stantec. Every day, we're problem-solving and collaborating on projects that are as challenging as they are impactful. Whether designing a transformational cross-country pipeline, optimizing facilities, verifying the safety and reliability of an asset, or in the field overseeing construction projects, you'll be joining a team of recognized industry experts on work that's critical to our clients and our communities. The Energy industry is changing - and we're helping clients stay ahead of the change. Join a team that's working together with industry to deliver innovation for the long term on some of the most important and interesting projects around the world. Your Opportunity We are seeking a creative and talented engineer to lead and support our client with the development of Quantitative Risk Analysis tools. These tools range from simple data mappers to standalone analytical tools to perform various types of risk analyses (e.g., pipe rupture, fire/explosion, equipment reliability, etc.), to large scale calculation engines to perform system-wide risk and reliability analysis. You will be exposed to all aspects of development including solution architecting, front-end development, back-end development, project management, and deployment. This is a rare opportunity to enhance your skills in data modeling and programming for scientific and technically complex use cases. Moreover, you will get to directly support the implementation of your work product for critical business decisions! This position will be working with our Energy business operating unit and client in the Houston, TX area. Your Key Responsibilities <ul> <li>Collaborate with risk specialists and other subject matter experts to understand business requirement and translate them to technical requirements.</li> <li>Design and document solution architecture aimed at high availability and reliability, high performance (speed, efficiency), and to be scalable, modular, and secure.</li> <li>Apply industry best practices for documentation, design, verification, and validation of development projects.</li> <li>Develop scalable and modular front end and back-end applications.</li> <li>Develop data models, algorithms, data structures, APIs, etc.</li> <li>Design UX/UI, including wireframes, through a collaborative effort with end-users.</li> <li>Maintain and continuously improve custom Excel functions and scripts.</li> <li>Manage deployment of software tools, continuous integration, and resource monitoring.</li> <li>Manage continuous integration and continuous deployment with containerized applications.</li> <li>Troubleshoot and correct issues/bugs across the entire technology stack for a given application deployment, with an aim to minimize operational disruption.</li> <li>Write technical documentation as required (UML, BPMN, etc.).</li> </ul> Qualifications Your Capabilities and Credentials <ul> <li>Extensive experience with back end development (Python, SQL, Flask or Django API, Node.JS)</li> <li>Extensive experience with front end web development (HTML, CSS, JavaScript, and one or more frameworks React, Vue, Angular), Python GUI development (PyQt, Tkinter, wxPython, and/or PySide), and Command Line Interfaces</li> <li>Experience with version control tools such as Git and GitHub</li> <li>Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)</li> <li>Strong problem-solving skills and the ability to work independently or as part of a team</li> <li>Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders</li> <li>Willingness to work extended hours as needed to meet project deadlines.</li> <li>Must have a good driving record and valid Driver's License</li> <li>Prior to employment with Stantec, this position will require the successful passing of a drug & alcohol screen</li> </ul> Preferred: <ul> <li>Experience with containerized application deployments using Docker and Kubernetes</li> <li>Experience with Microsoft Azure Cloud ecosystem</li> <li>Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.)</li> <li>Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning.</li> <li>Knowledge of quantitative risk analysis and related disciplines (e.g., reliability, asset integrity)</li> <li>Experience in oil and gas pipeline operating company</li> </ul> Education and Experience Bachelor's Degree in Engineering or another technical field, Master's Degree preferred 5 years of directly relevant work experience 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 .#FeelingEnergized Benefits Summary: Regular full-time and part-time employees have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law). Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law. The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements. Primary Location : United States-Texas-Houston Other Locations : United States-Texas-San Antonio, United States-Texas-Houston, United States-Texas-Austin, United States-Texas-Irving, United States-Texas-Plano, United States-Texas-Fort Worth Organization : BC-2057 Energy-US Coastal Employee Status : Regular Job Level : Individual Contributor Travel : Yes, 10 % of the Time Schedule : Full-time Job Posting : Mar 12, 2024, 11:20:51 AM Req ID: 2400015A #additional Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, color, religion, sex, national origin, age, marital status, genetic information, disability, protected veteran status, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with local, state and federal laws and regulations and ensures equitable opportunities in all aspects of employment. EEO including Disability/Protected Veterans

Risk Management Data Scientist - ( 24000170 )DescriptionAs energy availability becomes increasingly critical, theres no end to the scope and significance of your work and to where it can take you at Stantec. Every day, were problem-solving and collaborating on projects that are as challenging as they are impactful. Whether designing a transformational cross-country pipeline, optimizing facilities, verifying the safety and reliability of an asset, or in the field overseeing construction projects, youll be joining a team of recognized industry experts on work thats critical to our clients and our communities. The Energy industry is changing and were helping clients stay ahead of the change. Join a team thats working together with industry to deliver innovation for the long term on some of the most important and interesting projects around the world.Your OpportunityWe are seeking a creative and talented engineer to support our client with Risk Management as we pursue data driven quantitative risk analysis (QRA). The ideal candidate will have a solid background in data mining and machine using large datasets from SQL databases and GIS, and have a thorough understanding of data engineering.You will play a pivotal role in analyzing and leveraging disparate data from multiple systems to drive critical business decisions, enhance operational efficiency, and improve the overall performance of our pipeline operations. You will work closely with cross-functional teams and leverage your expertise in Python, SQL, and GIS to support the departments data needs.This position will be working with our Energy business operating unit and client in the Houston TX area.Your Key ResponsibilitiesCollaborate with Risk Engineers, GIS Specialists, and IT professionals to architect and develop data-driven applications and tools for risk monitoring, long range planning and optimization.Respond promptly to data requests from Risk Engineers to support Quantitative Risk Analysis, often under tight deadlines.Design and implement data pipelines and ETL processes to automate data extraction and transformation to meet Risk Management and QRA needs.Utilize Python and SQL programming to extract, clean, and analyze data from various sources, including Geographic Information Systems (GIS), Computerized Maintenance Management Systems (CMMS), In-Line Inspection (ILI) Data Management Systems, etc.Perform exploratory analysis of large data sets to identify patterns, anomalies, and optimization opportunities within pipeline operations.Independently assess and apply the required data mining techniques and statistical tests, including but not limited to: ANOVA, Laplace Test, PCA, NLP, Autocorrelation, etc.Produce informative and aesthetically pleasing visuals for consumption by stakeholders across the organization (e.g., correlation matrices, box plots, geospatial maps, etc.).Apply machine learning to build classification, regression, and clustering models for a range of applications within and outside of Risk Management.Build advanced models such as Neural Networks, Bayesian Belief Networks, Stochastic Process (Poisson, Markov), Proportional Hazard, etc.Develop Time Series and Forecasting models, incorporating stochastic processes such as Brownian motion as applicable.QualificationsYour Capabilities and Credentials:Proficient in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, PyMC3, PyTorch, TensorFlow, etc.Strong knowledge of RDBMs and SQL Server scriptingProficient in ESRI ArcGIS products and ArcPy.Demonstrable experience in Statistical Model building and Machine Learning for solving complex engineering problems.Strong knowledge of survey calculations, coordinate systems and transformations, data collection, and interpretation of geophysical survey datasets (multibeam bathymetry, sidescan sonar, subbottom profiler, magnetometer data).Strong problem-solving skills and the ability to work independently or as part of a teamStrong communication skills and the ability to convey complex technical concepts to non-technical stakeholdersWillingness to work extended hours as needed to meet project deadlines.Must have a good driving record and valid Driver's License.Prior to employment with Stantec, this position will require the successful passing of a drug & alcohol screen.Preferred:Experience with Database Management, virtual warehouses and resource monitoring (SQL Server, Snowflake, DBT, Microsoft Azure)Experience with natural language processing and text miningKnowledge of Operations Research topics, specifically linear and non-linear optimization, decision trees, multi-criteria decision-makingUnderstanding of Large Language Models (LLMs) and prompt engineeringKnowledge of quantitative risk analysis and related disciplines (e.g., reliability, asset integrity)Experience in oil and gas pipeline operating companyExperience with PowerBI or other Business Intelligence tools or a willingness to learnEducation and ExperienceBachelor's Degree in Engineering or another technical field, Masters Degree preferred5 years of directly relevant work experienceThis 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 others talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best .#FeelingEnergizedBenefits Summary:Regular full-time and part-time employees have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements.Primary Location: United States-Texas-HoustonOrganization: BC-2057 Energy-US CoastalEmployee Status: RegularJob Level: Individual ContributorTravel: Yes, 10 % of the TimeSchedule: Full-timeJob Posting: Mar 13, 2024, 7:47:26 AMReq ID:24000170Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, color, religion, sex, national origin, age, marital status, genetic information, disability, protected veteran status, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with local, state and federal laws and regulations and ensures equitable opportunities in all aspects of employment. EEO including Disability/Protected Veterans#J-18808-Ljbffrby Jobble

Data Scientist - ( 240001KY )DescriptionWe are strategizing, planning, and implementing projects that help clients achieve their organizations objectives. Join our award-winning program management team and bring transformational project solutions to life.By managing capital programs and projects as if they were our own, our project management business, and technical experts work with clients to strategize, plan, and implement projects that help them achieve their organizations objectives. Our award-winning team has managed thousands of projects across all sectorshospitals, airports, and entire university campuses; infrastructure like mass transit and water-treatment facilities; and energy and resource assignments, from mines to wind farms.Your OpportunityWe are seeking a talented and detail-oriented Data Analyst to join our dynamic team. The ideal candidate will be working closely with the Controls Specialist and Controls Manager to collect, analyze, and interpret large datasets by developing dashboards and reports to help inform business decisions.Your Key ResponsibilitiesData Collection and Analysis:Collect and analyze large datasets to derive actionable insights.Use statistical methods to interpret data and generate useful business reports.Identify trends, patterns, and anomalies in data.Extracting and loading dataKnowledge of database design and theoriesData Validation and Cleaning:Ensure data accuracy and integrity through validation and cleaning processes.Collaborate with the Controls team and other teams to resolve data-related issues.Reporting:Develop and maintain comprehensive and visually appealing reports and dashboards.Communicate findings to non-technical stakeholders effectively.QualificationsYour Capabilities and CredentialsProficient in data analysis tools and programming languages (e.g., SQL, Python, R).Experience with data visualization tools (e.g., Tableau, Power BI).Familiarity with data warehousing and ETL processes.Experience with API calls and management (e.g., REST)Strong analytical and problem-solving skills.Excellent written/verbal communication and collaboration abilities.Attention to detail and a commitment to producing high-quality work.Ability to work independently and as part of a team.Ability to multi-task, manage time, organize, and set priorities and make timely decisions.Experience with Middleware tools (e.g., Boomi) is preferred.Education and ExperienceBachelors degree in a relevant field (e.g., Data Science, Statistics, Computer Science).Minimum 5 years experience in a similar role.Industry-specific knowledge and experience (e.g., Architecture, Engineering, Construction) is preferred.Previous experience in project controls would be considered an asset.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 others talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.Benefits Summary: Regular full-time and part-time employees have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements.Primary Location : United States-Louisiana-Baton RougeOrganization : BC-2249 Water-US PMCMEmployee Status : RegularJob Level : Individual ContributorTravel : Yes, 25 % of the TimeSchedule : Full-timeJob Posting : Apr 9, 2024, 9:08:29 AMReq ID: 240001KYStantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, color, religion, sex, national origin, age, marital status, genetic information, disability, protected veteran status, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with local, state and federal laws and regulations and ensures equitable opportunities in all aspects of employment. EEO including Disability/Protected Veterans#J-18808-Ljbffrby Jobble

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Data Scientist Stantec Jobs

Risk Management Data ScientistApril 25, 2024

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Data ScientistApril 21, 2024

Risk Management Data ScientistApril 19, 2024

Data ScientistApril 19, 2024

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