Digital Specialist

5 months ago

Calgary, Canada LNG Canada Full time

There’s never been a better time to be working with LNG Canada. 

 Why? We are Canada’s first liquified natural gas (LNG) export facility, underpinned by safety, continuous improvement, quality execution and ethics and compliance. Our facility will provide the world with lower carbon, made-in B.C. LNG.

This is your opportunity to be part of history, in an environment that will challenge you to apply all your skills, and where you can learn with a diverse team of highly experienced industry professionals and mentors.

With gratitude and respect LNG Canada acknowledges our facility and will be operated in the traditional territory of the Haisla Nation. We also gratefully acknowledge the First Nations in our project area and along our shipping route.

LNG Canada maintains a healthy, respectful, and safe environment for all our employees, contractors, partners, and communities. Protecting our people, community and our operations is our top priority. We're proud to be the catalyst for a thriving new energy sector, which sets the benchmark for economically, environmentally, and socially responsible LNG production.

Our Vision: To be the leading LNG export company in British Columbia and the world.

Our Mission: To set the benchmark for economically, environmentally, and socially responsible LNG development in Canada. 

Our Values: Respect, collaboration, integrity, and safety.

 Come join the team making Canadian history

 About the Role

The Role of the Digital Specialist/Data Scientist will be to build core discipline and data products/projects. The candidate should have an analytical mindset to build advanced analytics products that would help generate value for LNG Canada. In this role, you will co-create and validate AI, ML and LLM models that automate and/or enhance our prediction and anomaly detection capabilities.

The role, with support of Discipline Engineers and Advanced Analytics Specialist, will drive the detailed data analysis and analytics of the LNG Production Systems to model anomalies and operating scenarios that deviate from desired conditions. The main objective will be to work with teams to produce fit-for-purpose detection and predictive processes that can drive proactive action in the field, in turn avoiding unplanned downtime and undesired operating conditions that may lead to premature failure or degraded performance. 

 This is a fixed term role with benefits with LNG Canada that will end 31 December 2027.

 To succeed with us in Digital team, we need your enthusiasm to:

Demonstrate personal commitment to HSSE. Display a strong positive attitude to manage change and improvement in our processes, ways of working and our overall performance. Develop strong working relationships with your team, stakeholders to boost co-operation and a One Team approach.Use your ability to utilize flexible thinking with well-developed problem-solving skills.Courage to hold strong to views when challenged or challenging others.Demonstrate a strong personal commitment to Diversity and Inclusion through collaboration across functional and cultural boundaries. 

You will use your expertise to: 

As a Data Scientist:

Be responsible for leading design, development, verification, and validation of analytics driven solutions and products.Work in a cross functional team and develop analytic models (statistical, AI, physics enriched) for condition-based monitoring, anomaly detection, remaining useful life, materials forecasting etc.Be involved in the whole process of model development. This includes everything from root cause analysis, data collection and feature engineering to training, validating, and implementing machine learning models, computing performance statistics and live model monitoring.Work with stakeholders to identify & explore new avenues in Technology & Production towards predictive and prescriptive analytics.Demonstrate collaborative work style and display team-oriented behavior with a proactive example of communication internally and externally.Experience in data miningStrong problem-solving skills with an emphasis on product development.Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.Azure ML, will be added advantage.Knowledge of Business Intelligence tools (e.g., Tableau, Spotfire, Power BI)Knowledge of workflow and applications tools (PowerApps, RShiny, Streamlit)Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.Excellent written and verbal communication skills for coordinating across teams.A drive to learn and master new technologies and techniques.Excellent communication and presentation skills.

 Your typical week:

20% - Working with the internal customers to understand business requirements.30% - Working to build analytics models or working to process real-time or high-frequency data (Python, Databricks, AzureML, RTDIP)30% - Working on incorporating the model outputs into insights (ex: using PowerBI) and/or building the insights into the workflow of internal customers (ex: using RShiny or PowerApps & PowerAutomate)10% - Looking externally and learning about new tools and technologies.10% - Finding and working with external vendors that provide AI/ML solutions. 

Key Challenges and Opportunities: 

Working in a virtual environment and managing engagement across different levels of stakeholders. A self-starter and reliable delivererExposes the individual to all cultural backgrounds and organizational levels across the globe, across diverse time-zones. 

To be successful, you will have: 

Bachelor's degree in engineering (Process, Chemical or Rotating); Data Science, Statistics, Machine Learning, Must have related field with 2-3 plus year of analytics development experience.Discipline experience required – Process or Rotating equipment engineering.Knowledge in building AI/ML models across Energy & Reliability solutionsKnowledge in the use of Python/R and/or other analytic software tools or languagesKnowledge in data cleansing, data quality assessment, and feature engineeringKnowledge in statistics and statistical model development. Experience in machine learning and other AI models.Experience with verification and deployment of analytics driven solutions and products.Demonstrated skill in presentation and influencing.Demonstrated project management skills.Strong communication and interpersonal skills.Demonstrated skill at working in a global team setting.Excellent communications and stakeholder skills.Self-starter and ability to work autonomously.

This role requires that you:

Be legally entitled to work in Canada (i.e., by way of Canadian citizenship, permanent residency, or valid work permit) This role is based in Calgary, with a Hybrid work model of 2 days per week in the office, located in The Bow Centre.Know that this is a fixed term role with benefits that will end 31 December 2027.This is not a contractor role.Consideration will be given for qualified candidates living in the Terrace/Kitimat region to work out of the LNG Canada plant in Kitimat, no relocation is necessary.Some overnight travel to LNG Plant in Kitimat is required

We Offer: 

A Comprehensive LNG Canada relocation package (if required)A full suite of benefits including a flexible Medical and Health plan.A Defined Contribution Pension plan with a matching programA competitive vacation offering to ensure a work life balance.See attached document for more information about Kitimat and LNG Canada.

About Us:

LNG Canada is a joint venture comprised of Shell Canada Energy (40%) and affiliates of Petronas (25%) PetroChina (15%), Mitsubishi Corporation (15%) and Korea Gas Corporation (5%). The joint venture is building a liquefied natural gas (LNG) export facility in Kitimat, British Columbia.

LNG Canada sets out to be a company of choice for British Columbia and Canada. Safety, shared economic value, environmental performance and social performance are our highest priorities. We have partnered with governments, local communities, and First Nations to maximize shared value.

Do you have a desire to learn and become part of an organization with a supportive and collaborative culture? Concerned you don’t meet every job requirement? Studies show diverse candidates are less likely to apply unless they feel they meet every single qualification. LNG Canada hires for character and trains for skill. We’re dedicated to attracting a diverse and inclusive workforce, representing the communities in which we live and work. We encourage you to apply today.

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