Data Scientist

Parkland is an independent supplier and marketer of fuel and petroleum products and a leading convenience store operator. We’re helping communities stay on the move and our team members serve retail, commercial, and wholesale customers across Canada, the United States, the Caribbean region and the Americas. Our purpose as Parklanders is to energize people and businesses to get them where they want to go. We’re a passionate team of down-to-earth achievers, committed to getting our customers, colleagues and communities further, faster.

Position Title: Data Scientist

Team and Location: Digital Transformation - Calgary, AB

Position Summary:

Parkland Corporation is deeply invested in building next-generation Enterprise Data, Digital & Analytics capability, with an aspiration to improve our value to customers, our customers‘ experiences, and drive profitable growth and industry leadership for Parkland.

Parkland is seeking a Data Scientist to be part of our newly forming Enterprise Digital Team – consisting of skillsets spanning machine learning, AI, Statistics, Data Engineering and full stack development. You will work as part of a high caliber team that works on solutions across Parkland’s business areas including Supply, Pricing and Loyalty, Retail, Commercial, Trading and Refining to drive high value solutions. As Canada and Caribbean’s largest and one of America’s fastest growing independent suppliers of fuel and marketing products and a leading convenience store operator, Parkland’s operations provide a rich and varied set of analytics opportunities, including over 1 mm retail transactions per day.

Key Responsibilities:

• Develop business acumen and maintain close relationships with key business stakeholders.
• Understand and have experience in data preparation – cleansing, quality and feature engineering. Be able to determine which features are important for classification and prediction. Able to perform feature engineering on large data sets ( via subsampling or other techniques) as well as apply both liner and non-linear dimensionlity reduction techniques.
• Leverage statistical and data science methodologies to build, test, and deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets. Maintain working knowledge of tools and concepts in Hadoop and evolving cloud platforms.
• Visualize data in a meaningful way that allows the business to quickly draw conclusions and make decisions.

Qualifications and Skills:

• Advanced degree (MS/PhD) in a relevant quantitative technical field (e.g., Computer
  Science, Statistics, Operations Research, Engineering, Physics, Optimization, Economics)
• A minimum 1-5 years’ experience in data science, analytics, and model building roles in a business context.
• Demonstrated understanding in advanced analytics methods with perspectives from machine learning (including supervised and unsupervised learning) as well as statistical modeling and instance based methods.
• Experience in Python, R, Spark, PySpark/R/Spark on Hadoop or Cassandra preferred.
• Strong written and verbal communications skills with the ability to understand the views, concerns, and comments of others.
• Ability to collaborate within a team as well as the business, and engage business experts to assess opportunities to apply data science and analytics.

We Offer:

• A safety focused work environment and ongoing safety training.
• A share in our success through the Employee Share Purchase Plan and 100% company matching.
• Flexible medical and dental packages, a Health Care Spending Account, along with a supportive Employee and Family Assistance Program.
• In-house learning and development opportunities, leadership training, international opportunities.
• An employee referral program – earn up to $2000 for your referral.

We thank all candidates in advance for their interest, however only those being considered will be contacted. Please note:

• Candidates must be legally able to work in Canada at this time. Parkland regrets that it is unable to sponsor employment Visas.
• Parkland Fuel Corporation is committed to the principles of Employment Equity.We strive to provide accessibility in employment to ensure equal access to employment opportunities for candidates, including persons with disabilities. Parkland Fuel Corporation will endeavour to provide accommodation to persons with disabilities in the recruitment process upon request. If you are selected for an interview and you require accommodation due to a disability, please notify us upon scheduling your interview.
• Please note that final candidates for this position will be required to undergo a confidential pre-employment background check which may include but not be limited to educational, criminal, credit, drug and alcohol and/or Fitness for Duty testing.