Data Scientist

GuruLink; Toronto; Remote; CAD 150,000 - 200,000; Full time

Job summary

An innovative organization is hiring an Intermediate Data Scientist to work remotely from Toronto, Ontario. This role involves collecting and analyzing data, building predictive models, and collaborating with stakeholders. Candidates should have a Bachelor's degree and 3 years of experience in data science, alongside proficiency in Python and SQL. The position offers a competitive package and a four-day work week to encourage work-life balance.

Benefits

Competitive compensation package with equity options

Fully remote work environment

Four-day work week for long weekends

Focus on diversity and innovation

Qualifications

• 3 years of experience in data science, analytics, or a similar role.
• Proficiency in Python and understanding of statistics and machine learning fundamentals.
• Experience in creating batch and real-time data streams.

Responsibilities

• Assisting in the collection, cleaning, and validation of data from various sources.
• Performing exploratory data analysis and crafting visualizations to uncover patterns.
• Building and testing predictive models using statistical and machine learning techniques.
• Communicating findings through reports, dashboards, and presentations.

Skills

Python

SQL

Machine Learning

Data Analysis

Education

Bachelor's degree in data science, Computer Science, Statistics, Mathematics, or a related field

Tools

Snowflake

Delta

PySpark

Databricks

AWS

Azure

GCP

Git

Job description

Location: REMOTE / Toronto, Ontario
This job allows you to work remotely.

About the Opportunity:
An innovative organization is seeking a curious and driven Intermediate Data Scientist to join their dynamic team. This role offers a unique chance to explore the complexities of data and contribute to the evolution of indoor environments by leveraging spatial intelligence.


What You'll Be Doing:
- Assisting in the collection, cleaning, and validation of data from various sources.
- Performing exploratory data analysis and crafting visualizations to uncover patterns and trends.
- Building and testing predictive models using statistical and machine learning techniques.
- Communicating findings through clear reports, dashboards, and presentations.
- Collaborating with data engineers, analysts, and business stakeholders to achieve project objectives.
- Contributing to the enhancement of data processes and analytical frameworks.


Tech Stack You'll Be Working With:
- Python
- SQL and relational databases (Snowflake, Delta)
- PySpark or Databricks
- Cloud platforms (AWS, Azure, GCP) - preferred
- Version control systems (Git) - preferred
- Data pipelines and ETL processes - preferred


What's in it for You:
- Competitive compensation package, including equity options.
- Fully remote work environment, offering flexibility and work-life balance.
- Enjoy long weekends with a four-day work week to recharge and focus on personal time.
- Be part of a forward-thinking team that values diversity and innovation.

Must Have Skills:


What You've Done:
- Obtained a Bachelor's degree in data science, Computer Science, Statistics, Mathematics, or a related field.
- Accumulated 3 years of experience in data science, analytics, or a similar role.
- Developed proficiency in Python and demonstrated a solid understanding of statistics and machine learning fundamentals.
- Gained experience in creating batch and real-time data streams for meaningful insights.
- Worked with SQL and relational databases such as Snowflake or Delta.
- Utilized PySpark or Databricks in previous projects.