Senior Data Scientist

Work Arrangement: Hybrid 

Department: Data Science Area 

Pembina Pipeline Corporation is a dynamic energy transportation and midstream provider, serving customers for more than 65 years. Chances are, we do more than you think. We own pipelines that transport hydrocarbon liquids and natural gas products produced primarily in Western Canada. We also own gathering and processing facilities and an oil and natural gas liquids infrastructure and logistics business. Our operations along the hydrocarbon value chain allow us to offer a full state of midstream and marketing services to our customers in the energy industry. 

We are an organization that cares not only about results, but how those results are achieved. Our organization is grounded in the values of Safe, Trustworthy, Respectful, Collaborative and Entrepreneurial. Cultivating a positive employee experience and promoting a diverse and inclusive environment where our employees feel engaged, recognized and empowered is foundational to our ambition of being an employer of choice. Learn more about our values and strategy. 

We value the safety of our communities, customers, contractors and employees, and believe that all incidents are preventable. Compliance with all policies, procedures and regulations is a requirement, and our Life Saving Rules are basic rules that everyone should know and live by. Working for Pembina means working safely. 

Overview:

Pembina’s Information Service Unit (ISU) is seeking a Senior Data Scientist specializing in Advanced Analytics. The successful candidate will play a pivotal role in the development of data products and analyses, utilizing Big Data and statistical techniques such as Machine Learning (ML) and Artificial Intelligence (AI).

As part of a dynamic team, you will contribute to the expansion of our growing portfolio of data products that enhance Pembina’s value by reducing operational costs, increasing revenue, and managing risk.

In the role of Senior Data Scientist, you will spearhead our Advanced Analytics AI/ML practices. Your responsibilities will include developing solutions that address business opportunities through the strategic use of data and analytics. This will encompass the creation of advanced algorithms, the construction of data pipelines, ML engineering, and data visualization.

The Information Services Unit has the responsibility to manage and maintain the company’s infrastructure, providing technical support, ensuring data security and accessibility, implement new technology, strategize for future development, manage vendors, and ensure compliance with relevant laws and regulations. We depend on our talented people who are constantly looking for innovative ways to improve our processes and existing technologies. Our focus is to collaborate with our customers and colleagues to land cutting edge technologies to help improve the way we work, maximize productivity, and reduce cost which in turn contribute to the environmental solutions that help with our climate change challenges. We are building a diverse team of open-minded, adaptable and innovative people, to keep up with the changing world of technology.

Responsibilities may include but not limited to:

• Collaborating with a dedicated team of Data Engineers, Software Engineers, and DevOps to drive data-driven initiatives;
• Leading the creation and adoption of AI/ML best practices, while fostering innovation by staying updated with the latest advancements in these fields;
• Collaborating with various business teams to understand their challenges and framing them as opportunities for Big Data or AI/ML solutions that can provide actionable insights;
• As a full stack data scientist, developing comprehensive data solutions that include data pipelines, ML, predictive modeling, and visual interfaces to guide Pembina towards optimized outcomes; 
• Actively participating in and contributing to a diverse and inclusive work environment;
• Support Pembina’s safety culture of “Zero by Choice” and the “Life Saving Rules”. To read more about our Life Saving Rules, visit pembina.com/safety; and
• Participate and support an equitable, diverse, and inclusive workplace.

Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. A Master’s or PhD degree is a plus;
• 5+ years of hands-on experience in various ML algorithms, statistical modeling, and data mining techniques;
• Proficiency in Python and SQL, and big data technologies tools like Spark;
• Experience with Azure cloud platforms, and familiarity with data pipeline tools (Airflow, Databricks) and data storage (Data Lake, Postgres, SQL Server, OSIsoft PI);
• Experience participating in agile development, version control (Git), and CI/CD principles;
• Proficiency in data visualization tools (PowerBI, Tableau, Matplotlib, Plotly or D3.js) to effectively present complex data insights;
• Strong problem-solving skills and the ability to communicate complex analytical concepts effectively to all levels of stakeholders; and
• Experience in optimization projects within midstream industry, particularly in areas such as pipeline scheduling, facility operations, integrity management, logistics and commodity marketing, is highly valued.
   

The successful candidate must be legally able to work in the country of the position. Final candidate will be required to undergo Pre-Employment Background Checks including a Criminal Record Check. 

This position will be posted until end of day: 05/16/2024 

Our expectations are high, and our rewards reflect this: We treat our people well – whether it’s through our total rewards package, community engagement or volunteer opportunities, all in an environment that is equitable, safe, respectful, inclusive and accessible. 

We recognize that diverse perspectives and experiences fuel innovation and enrich our workplace culture. We firmly believe that every individual’s unique background, identity and contributions contribute to our collective success. We encourage applications from individuals of all backgrounds and experiences. If you’re contacted to set up an interview and you require accessibility accommodations, please let your Talent Acquisition Advisor know at that time. 

We are a proud recipient of Canada’s Top 100 Employers (2018-2022), Alberta’s Top Employers (2014-2024) and an Employer Partner of the Canadian Centre for Diversity and Inclusion. We are also a strong supporter of Skills Canada. 

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