Jr. Data Scientist

Why Hiring; Canada; Remote; CAD 100,000 - 150,000; Full time

Job summary

A leading company is seeking an entry-level Data Scientist to work with real-world data and contribute to privacy-conscious advertising tools. The role involves data analysis, model building, and collaboration with product teams. Ideal for those eager to gain hands-on experience in data science.

Qualifications

• 1-2 years of hands-on experience in data science or analytics.
• Skilled in Python and SQL for data exploration and modeling.

Responsibilities

• Explore datasets to extract insights and improve audience segmentation.
• Contribute to predictive models and ML solutions.

Skills

Python

SQL

Machine Learning

Statistical Concepts

Job description

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At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.

ABOUT THE ROLE

• This role offers the chance to work with real-world data to uncover trends, inform targeting strategies, and contribute to the development of privacy-conscious advertising tools. It’s a strong fit for someone at the beginning of their data science career who’s eager to gain hands-on experience in analytics, modeling, and collaboration across tech and product teams.

KEY RESPONSIBILITIES

• Explore datasets to extract meaningful insights and improve audience segmentation strategies.
• Contribute to the creation of predictive models and ML solutions tailored to privacy-first targeting.
• Leverage tools like SQL and Python to manipulate, analyze, and present complex data effectively.
• Ensure data quality and model reliability while adhering to strict compliance and privacy guidelines.
• Work closely with product and solutions teams to convert strategic goals into actionable analytics.
• Respond to internal and client-facing data inquiries with clear, well-supported analysis

QUALIFICATIONS

• 1–2 years of hands-on experience working in data science, analytics, or a similar domain.
• Skilled in using Python and SQL to explore data, build models, and generate insights.
• Solid grasp of core statistical concepts, machine learning techniques, and forecasting methods.
• Comfortable translating complex analyses into clear, actionable recommendations for diverse teams.
• Bonus points for exposure to datasets, ad tech environments, or privacy-centric platforms.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Staffing and Recruiting

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