"Data Scientist"

Are you passionate about using data to drive business decisions? Do you enjoy analyzing and working with structured and/or unstructured data? If so, we have an exciting opportunity for you! 

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Ample Insight Inc., a fast-growing consulting firm based in Toronto, is seeking Data Scientists to join our world-class team of engineers and data scientists, who previously worked at Facebook, Uber, Amazon, and Google. Our clients range from innovative startups to Fortune 500 companies, providing you with a diverse and impactful array of projects.

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As a Data Scientist, your day-to-day tasks will involve architecting data ETL workflows and schemas, analyzing user engagement, social, marketing, and/or finance data, and producing actionable insights. You will have the opportunity to utilize your strong problem-solving and critical thinking skills to make a tangible impact on our clients' success.

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To excel in this role, you should possess a BS (or higher) degree in Computer Science, Engineering, Math, or Statistics, along with hands-on experience working with data. Proficiency in Python, R, TensorFlow, and other data science tools and libraries is essential. Experience with relational databases, designing complex data schemas, and writing SQL queries is also highly desirable. You should also have a deep knowledge of performance tuning of ETL jobs, SQL, and databases, as well as an analytical mindset and strong business acumen. Familiarity with Snowflake and devops experience are considered additional assets.

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At Ample Insight Inc., we offer competitive compensation and the opportunity to work on exciting projects that align with your interests and skills. We prioritize accountability and autonomy over micro-management, allowing you to thrive in a supportive environment that values your expertise.

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If you are ready to take your data science career to the next level, join our talented team and make a real impact in the industry. Apply today and let's drive innovation together!

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Soft skills: 

1. Critical thinking
2. Problem-solving skills
3. Analytical mind
4. Strong business acumen

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State-of-mind:

1. Passion for analytics and using data to drive business decisions
2. Motivation to produce actionable results

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Application highlight:

1. Emphasize experience in architecting data ETL workflows and schemas.
2. Mention hands-on experience working with user engagement, social, marketing, and/or finance data.
3. Highlight proficiency in Python, R, TensorFlow, and other data science-related tools and libraries.
4. Showcase extensive experience in working on relational databases, designing complex data schemas, and writing SQL queries.
5. Highlight knowledge of performance tuning of ETL jobs, SQL, and databases.
6. Mention any working knowledge of Snowflake or devops experiences as a plus.

• BS (or higher, e.g., MS, or PhD) in Computer Science, Engineering, Math, or Statistics
• Hands on experience working with user engagement, social, marketing, and/or finance data
• Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
• Extensive experience working on relational databases, designing complex data schemas, and writing SQL queries
• Deep knowledge on performance tuning of ETL Jobs, SQL, and databases
• Analytical mind and strong business acumen
• Working knowledge of Snowflake
• Devops experiences a plus