Staff Data Scientist - Transmission & Distribution (Calgary)

Burns & McDonnell; Calgary; On-site; CAD 85,000 - 115,000; Full time

Job summary

A leading engineering company in Calgary is seeking a Staff Data Scientist responsible for processing and analyzing large volumes of data. The role involves developing business solutions using machine learning, statistics, and data modeling. Candidates should have a Bachelor's degree in a relevant field and at least 4 years of related experience, with proficiency in SQL, R, and Python. Successful applicants will deliver predictive analysis and communicate findings effectively within the business. Full-time position with travel expectations.

Qualifications

• Four years of related experience is required.
• Consulting experience is preferred.
• Strong problem-solving and analytical skills.

Responsibilities

• Develop data solutions for cleansing data.
• Perform data analysis to derive business value.
• Create prediction models to evaluate client assets.
• Conduct research applying data science methods.
• Monitor client assets and perform predictive analysis.
• Produce reports and visualizations of technical results.

Skills

Data mining

Predictive analytics

Machine learning

Data visualization

SQL

R

Java

Python

SAS

SPSS

Education

Bachelor's degree in Analytics, Computer Science, Information Systems, Statistics, Math or related field

Master's degree

Job description

Description

The Staff Data Scientist is responsible for processing, cleaning, and analyzing large volumes of data to develop business solutions for a wide variety of clients and projects. This position performs tasks utilizing statistics, machine learning, programming, and data modeling to discover information, recognize patterns and trends to address business problems.

• Develop and apply data solutions for cleansing data to remove errors and review consistency.

• Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions.

• Gather data, find patterns and relationships and create prediction models to evaluate client assets.

• Conduct research and apply existing data science methods to business line problems.

• Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results.

• Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business.

• Performs other duties as assigned.

• Complies with all policies and standards.

Qualifications

• Bachelor's degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required.

• Master's degree preferred.

• Related consulting experience preferred.

• Experience working with SQL, R, Java, Python, SAS, SPSS required.

• Experience in data mining and predictive analytics.

• Experience in machine learning and predictive algorithms.

• Experience in data visualization.

• Ability to work with team members and clients to assess needs, provide assistance, and resolve problems.

• Strong problem-solving and analytical skills.

• Strong attention to detail.

• Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences.

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.

Primary Location: CA-AB-Calgary

Schedule: Full-time

Travel: Yes, 10 % of the Time