Job Information
Stantec Risk Management Data Scientist in HOUSTON, Texas
Risk Management Data Scientist - ( 24000170 )
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 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 department’s data needs.
This position will be working with our Energy business operating unit and client in the Houston TX area.
Your Key Responsibilities
Collaborate 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.
Qualifications
Your 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 scripting
Proficient 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 team
Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders
Willingness 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 mining
Knowledge of Operations Research topics, specifically linear and non-linear optimization, decision trees, multi-criteria decision-making
Understanding of Large Language Models (LLMs) and prompt engineering
Knowledge of quantitative risk analysis and related disciplines (e.g., reliability, asset integrity)
Experience in oil and gas pipeline operating company
Experience with PowerBI or other Business Intelligence tools or a willingness to learn
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
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 13, 2024, 7:47:26 AM
Req ID: 24000170
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