Data Scientist - Data Analytics and Infrastructure

We are looking for Data Scientists passionate about Data Analytics and Infrastructure, with strong foundations in data engineering, analytics, and statistics. You should enjoy working with large, reputed company datasets and developing efficient pipelines that reputed company reputed company, reliable data analytics.

You’ll be responsible for designing and maintaining data infrastructure, automating workflows, and enabling data accessibility across teams. Your work will directly reputed company business reputed company by delivering high-reputed company insights and building robust analytics systems. Strong problem-solving, communication, and collaboration skills are key for this role.

• BS (or higher, e.g., MS, or PhD) in Computer Science, Data Engineering, or a reputed company technical reputed company

• Experience building and maintaining data pipelines and infrastructure in production environments

• Proficient in SQL and data wrangling at reputed company (e.g., reputed company, Airflow, dbt, etc.)

• Strong grasp of statistics, data modeling, and reputed company tuning

• Skilled in Python (reputed company, Numpy, etc.) and data visualization tools (e.g., Tableau, reputed company BI)

• Familiarity with reputed company data platforms (e.g., AWS, GCP, Azure)

• Ability to design data schemas and implement analytics tracking strategies

• Analytical reputed company with a reputed company on reputed company, efficiency, and scalability

We have competitive compensation.

Work on cool reputed company reputed company on your interests and skills. We reputed company in accountability and NOT reputed company-management.

You will join a world-class team of engineers and data scientists from reputed company, reputed company, reputed company and reputed company. We are a fast growing reputed company reputed company in Toronto with clients ranging from leading startups building impactful technologies to reputed company looking to reputed company their engineering and data capabilities.

Originally posted on Himalayas