Specialist II TIS Data Science

Posting End Date:

Employee Type:

Do you have experience in AI (Artificial Intelligence) ML (Machine Learning) and optimization and would enjoy helping the team in building and enabling advanced technology solutions This could the perfect opportunity for you! We are seeking a Data Science Specialist II to join our team!

You will work with and alongside the product teams and the business users using data science machine learning and artificial intelligence to enable the Technology Innovation lab to perform predictions simulations and optimizations. We are looking for a dedicated employee with curiosity and a desire to explore innovative ideas technologies and methods. #topemployer

Apply now!

What You Will Do:

• Work with technical leadership team peer data scientists developers and product teams to identify opportunities for leveraging company data to drive business solutions.

• Develop evaluate and deploy AI and machine learning models and solutions that address business challenges and opportunities in areas such as predictive maintenance risk assessment geospatial analysis digital records management and operations optimization.

• Conduct exploratory data analysis data cleaning feature engineering data sampling model building and performance evaluation using various tools and techniques.

• Create data visualizations dashboards and presentations to communicate insights and findings to both technical and non-technical stakeholders.

• Collaborate with cross-functional teams such as software engineers business analysts and domain experts to integrate data science solutions into production systems and align them with business objectives.

• Function as a senior consultant with vendors business stakeholders product and technical leadership on AI/ML related technologies and product planning.

• Research and stay updated on the latest advancements and trends in data science artificial intelligence machine learning and related domains.

• Facilitate capability building within the Data Scientist community by supporting coaching and mentoring junior data resources and helping lead the data science community of practice.

• Lead others by example and provide innovative solutions to complex data science problems by being a leader in one or more data science technical domains.

• Lead and advocate the development and documentation of tools standards techniques processes and best practices for the data science and technical team to help ensure robust solutions.

Who You Are:

You have the following education and experience:

• Bachelors degree in information technology Computer Science or a related quantitative discipline.

• Masters degree (or greater) in Information Technology Computer Science or a related quantitative discipline is considered an asset.

• Minimum 7 years in senior engineering and technology roles working with product development teams delivering and building digital products while remaining hands-on.

• Minimum of 5 years of experience in data science and machine learning.

• Demonstrated knowledge and experience building and using algorithms and models in several of the following areas: supervised classification and regression unsupervised learning multivariate time series anomaly detection computer vision natural language processing generative AI and simulation / optimization.

• Experience and familiarity with Responsible AI frameworks and toolkits for transparent and explainable AI.

• Proficiency in Python and related software packages for statistics data science and machine learning such as numpy pandas scikit-learn XGBoost TensorFlow/Keras PyTorch etc.

• Demonstrated experience using Agile methodologies and engineering principles to develop solutions using tools and techniques such as object-oriented design code modularity testing version control IDE etc.

• Experience in cloud computing platforms and services such as Databricks and Azure (including AI Services Azure ML).

• Experience in using data storage and processing technologies such as Azure storage Apache Spark SQL databases.

• Experience in developing presentations and communications to be shared with internal and external stakeholders facilitated by using data visualization and dashboard creation tools such as matplotlib seaborn plotly Power BI.

• Experience in using MLOps tools and techniques such as model versioning deployment validation testing monitoring lifecycle management scalability and performance optimization.

• Experience in industry data science (predictive maintenance risk assessment pipeline operations and optimization digital records management geospatial imagery / Lidar) preferred.

• Experience modeling physical systems with a combination of physics and machine learning (e.g. oil and gas hydraulic systems).

Individual Skills:

• Excellent problem solving critical thinking and communication skills.

• Able to build a sense of trust and rapport that creates a comfortable & effective workplace.

Mindsets and Behaviors:

• Curiosity and a desire to explore innovative ideas technologies and methods.

• Passion for innovation and a can do attitude.

Working Condition:

• Enbridges FlexWork (Hybrid Work Model) offers eligible employees the opportunity to work variable daily schedules with a flexible start and end time to opt for a compressed workweek schedule or the option to work from home on designated days. Role requirements determine your eligibility for each option. #LI-Hybrid

• Travel to other corporate work locations 1-2 times per year

At Enbridge we are dedicated to our core value of are proud to bean Equal Opportunity Employer. We are committed to providing employment opportunities to all qualified individuals without regard to age race color national or ethnic origin religion sex sexual orientation gender identity or expression marital status family status veteran status Indigenous status disability or any other reason protected by federal state or local with disabilities can request accessible formats communication supports or other accessibility assistance by contacting .

Information For Applicants:

• Applications can be submitted via our online recruiting system only.

• We appreciate your interest in working with us; however only those applicants selected for interviews will be contacted.

• Final candidates for this position may be required to undergo a security screening including a criminal records check.

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