Engineering Data Scientist, Calgary, AB

Description:

Lead the development and application of data solutions for cleansing data to remove errors and review consistency.

Oversee the analysis of data to discover information, business value, patterns and trends in support to guide development of assets business solutions.

Oversee data gathering, finding patterns and relationships and create prediction models to evaluate client assets.

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

Responsible for monitoring 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.

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

Manage requests for proposals from clients.

Present to clients and at industry conferences.

Train and mentor less experienced data scientists. Provide performance feedback to managers.

Participate in recruitment efforts.

Performs other duties as assigned

Complies with all policies and standards.

Requirements:

Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience.

Required

Master 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.

Please send your resume in confidence to paul.dusome@randstad.ca

Advantages
Master Degree Preferred Related consulting experience preferred.

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

Experience in data mining and predictive analytics.

Responsibilities
Description:

Lead the development and application of data solutions for cleansing data to remove errors and review consistency.

Oversee the analysis of data to discover information, business value, patterns and trends in support to guide development of assets business solutions.

Oversee data gathering, finding patterns and relationships and create prediction models to evaluate client assets.

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

Responsible for monitoring 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.

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

Manage requests for proposals from clients.

Present to clients and at industry conferences.

Train and mentor less experienced data scientists. Provide performance feedback to managers.

Participate in recruitment efforts.

Performs other duties as assigned

Complies with all policies and standards.

Requirements:

Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience.

Required

Master 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.

Please send your resume in confidence to paul.dusome@randstad.ca

Qualifications
Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience.

Master 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.

Summary
Description:

Lead the development and application of data solutions for cleansing data to remove errors and review consistency.

Oversee the analysis of data to discover information, business value, patterns and trends in support to guide development of assets business solutions.

Oversee data gathering, finding patterns and relationships and create prediction models to evaluate client assets.

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

Responsible for monitoring 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.

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

Manage requests for proposals from clients.

Present to clients and at industry conferences.

Train and mentor less experienced data scientists. Provide performance feedback to managers.

Participate in recruitment efforts.

Performs other duties as assigned

Complies with all policies and standards.

Requirements:

Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience.

Required

Master 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.

Please send your resume in confidence to paul.dusome@randstad.ca

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.