Research Associate Intern

at  Environics Analytics

Role Objective:
As a member of the Innovation team, the Research Associate Intern is tasked with helping spearhead the creation and realization of next generation data products. This entails a dual-focus approach: firstly, the exploration of new data sources to design new innovative features; and secondly, the crafting of prototype solutions – which can be made up of data pipelines and predictive models. Candidates should possess a keen aptitude for programming, a profound understanding of data manipulation and visualization, and a solid grounding in statistical methods, data science principles, and data processing techniques.

QUALIFICATIONS AND SKILLS:

Education - Degree in Engineering, Computer Science, Statistics, or a related quantitative discipline. A Master’s degree is advantageous but not mandatory.

TECHNICAL SKILLS

• Proficient in exploratory data analysis using Python and SQL.
• Skilled in developing machine learning models, with proficiency in scikit-learn or PySpark preferred.
• Strong foundation in statistical analysis.
• Competent in programming with Python and SQL.
• Prior experience with Census, survey, and varied data sources will be considered an asset.
• Familiarity with Snowflake, Databricks or other cloud platforms will be considered an asset.
• Understanding frameworks such as DBT will be considered an asset.
  Analytical Skills – Aptitude for problem solving and a desire to continuously improve.
  Judgment - Displays willingness to make timely decisions, including appropriate people in the decision-making process and exhibits sound and accurate judgment; supports and explains reasoning for decisions.
  Planning/Organizing - Prioritizes and plans work activities effectively.
  Teamwork - Balances team and individual responsibilities. Exhibits objectivity and openness to others’ views, giving and welcoming feedback. Puts success of team above own interests and demonstrates ability to build morale and group commitments to goals and objectives. Supports everyone’s efforts to succeed.
  Communication Skills – Able to clearly communicate ideas and expectations. Effectively listens for understanding and asks questions for clarification. Presents ideas effectively in both verbal and written form.
  Interpersonal Skills – Approachable and easy to talk to. Relates well to all kinds of people in the organization. Able to effectively build rapport with others. Uses diplomacy and tact. Maintains composure and shows an ability to resolve conflicts and gain agreement.

• Conduct thorough investigations and analyses of vast data repositories.
• Design and implement innovative data products, leveraging diverse data sources.
• Engineer, test, and refine machine learning models to enhance predictive accuracy and reliability.
• Craft compelling visualizations to uncover and communicate data trends.
• Establish rigorous quality control checks for product integrity.