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Data Scientist - Data Analytics and Infrastructure

Remote: 
Full Remote
Work from: 
Canada

Offer summary

Qualifications:

BS or higher degree in CS, Engineering, Math, or Stats, Hands-on experience with user engagement, social, marketing, finance data, Proficiency in Python, R, TensorFlow and data science tools, Extensive experience with relational databases and SQL, Knowledge of Snowflake and ETL performance tuning.

Key responsabilities:

  • Utilize data for informed business decisions
  • Architect data ETL workflows and schemas
  • Work with structured/unstructured data to produce actionable insights
  • Collaborate with engineers and data scientists
  • Independently solve complex problems
Ample Insight logo
Ample Insight Startup https://www.ampleinsight.com/
11 - 50 Employees
About Ample Insight
We are a team of world-class data scientists and software engineers who have helped top companies like Facebook, Google, Uber, Amazon, Microsoft and others solve some of their most difficult engineering problems. Have a quick question or need an experienced consulting advisor for a complex project that has 'been there and done that'? We have you covered. Contact us today!
See more Ample Insight offers

Job description

Company Description

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities. 

Job Description

We are looking for Data Scientists who are passionate about analytics and using data to help drive business decisions. You enjoy working with structured and/or unstructured data and are motivated to produce highly actionable results. You are experienced in architecting data ETL workflows and schemas. Critical thinking and problem-solving skills are essential for this role.

Qualifications
  • 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

Additional Information

We have competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Structured AnalysisUnstructured DataR (Programming Language)TensorFlowData Pipeline ManagementDatabase QueriesSnowflake (Data Warehouse)Python (Programming Language)

Other Skills

  • Motivational Skills
  • Business Acumen
  • Critical Thinking
Are you interested?

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