Data Scientist

Responsibilities

• Handle highly sensitive and confidential information with professionalism and discretion
• Collaborate with stakeholders to improve business decisions by identifying patterns and trends in data
• Develop data products including reports, visualizations, and dashboards
• Adhere to software and data science development standards
• Perform data acquisition, sourcing, cleaning, and exploratory data analysis (EDA)
• Transform raw data into usable attributes for machine learning modules through feature engineering
• Evaluate and execute automated machine learning (AutoML) models
• Leverage predictive models to optimize business results

Associate or Bachelor's degree

• A degree in a closely related field or combination of education and relevant experience
• Self‑motivated, detail‑oriented professional, ability to multitask a must
• Proficiency with MS Office including Word and Outlook
• Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas
• Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib
• Proficiency with data science languages such as Python and R
• Ability to handle confidential information
• Excellent writing and people skills
• Strong math and organizational skills
• Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast‑paced environment
• Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills
• An attitude and commitment to being an active participant of our employee‑owned culture is a must

• Industry: IT
• Schedule:
  
  Full‑time
• Employee Status:
  Regular
• Business Class:
  Marketing and Admin

At HDR, we are committed to the principles of employment equity.

We are an affirmative action and equal opportunity employee.

We consider all qualified applicants, regardless of criminal histories, arrest and conviction records.