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Remote Data Analyst R Programming Jobs in Ottawa, ON

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Manager AI

Ottawa, ON · On-site +1

We achieve this by delivering ML and data analytics capabilities built upon unified scalable ... Engineering Excellence: Lead the development and implementation of robust, scalable, and efficient ...

Solink

Software Engineer, COOP

Ottawa, ON · Remote

CA$40K - CA$68K/yr

R&D- Data Integrations Reports To: Mac Pham, [Director, Engineering] (LinkedIn) Type: Contract ... You have analytical and problem-solving skills with the ability to troubleshoot complex issues and ...

Targeted Talent

C++ Developer

Ottawa, ON · On-site +1

This is a permanent position, remote based in Vancouver! You'll be working with cutting edge ... Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ...

Targeted Talent

C++ Developer

Ottawa, ON · On-site +1

This is a permanent position, remote based in Vancouver! You'll be working with cutting edge ... Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial ...

Targeted Talent

Senior SQL Developer

Ottawa, ON · Remote

$95K - $110K/yr

This is a permanent position, remote! Our client is a large fintech firm with a product that you've ... You Have: * 7+ years experience working with MS - SQL data development * Strong experience with ...

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Remote Data Analyst R Programming information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Ottawa, ON? The most popular types of Data Analyst R Programming jobs in Ottawa, ON are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Ottawa, ON? For Remote Data Analyst R Programming jobs in Ottawa, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Ottawa, ON look for? The top searched job categories for Remote Data Analyst R Programming jobs in Ottawa, ON are:
What cities near Ottawa, ON are hiring for Remote Data Analyst R Programming jobs? Cities near Ottawa, ON with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you

Copy of Senior Python Developer (AI Evaluation & Benchmarking)

Lifted, an Upwork Company™

Ottawa, ON • Remote

Full-time

Posted 8 days ago

Job description

Company Description

An enterprise client is seeking experienced Senior Python Developers to help build the next generation of Artificial Intelligence systems. This opportunity support the client who is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment.

The selected consultants will contribute to AI research by designing programming benchmarks, evaluating AI-generated code, and helping improve the performance, reasoning, and reliability of frontier AI models. This is an excellent opportunity for experienced software engineers who enjoy solving complex technical problems while contributing to the future of Generative AI.

Job Description

This opportunity is ideal for senior software engineers with strong Python expertise who enjoy writing high-quality code, reviewing technical solutions, and working on AI-related projects.

What You'll Do:

  • Design and develop coding benchmarks used to evaluate frontier AI models.
  • Analyze AI-generated code for correctness, reliability, efficiency, and edge cases.Build and maintain scalable data pipelines that support AI evaluation workflows.
  • Create structured programming scenarios to test reasoning, debugging, and code quality.
  • Work with large codebases and multi-language software environments.
  • Collaborate with teams focused on improving how AI models understand, generate, and evaluate software.
  • Write clean, maintainable, and well-tested Python code following software engineering best practices.
Qualifications

Requirements:

  • 4+ years of professional software engineering experience (required).
  • Expert-level proficiency in Python.
  • Experience working at a high-growth technology company or top-tier software organization.
  • Proficiency in at least one additional programming language such as JavaScript, Go, C++, or similar.
  • Experience with CI/CD pipelines and automated testing frameworks such as pytest, Mocha, or JUnit.
  • Strong understanding of software engineering best practices, debugging, and code quality.
  • Excellent analytical and problem-solving skills.

Nice to Haves:

  • Experience with AI/ML evaluation, model benchmarking, or Generative AI.
  • Background in security engineering.
  • Significant contributions to open-source software projects.
  • Experience working with large-scale distributed systems or enterprise software platforms.

Additional Information
  • Fully remote contract opportunity.
  • Compensation ranges from $80–$100 USD per hour.
  • Expected workload is 10–39 hours per week, depending on project needs.
  • Weekly payments for approved work completed during the previous week.
  • Work volume may fluctuate throughout the duration of the engagement.

Hiring Process:

  • Submit your proposal.
  • Complete a short qualification form provided by the client.
  • Qualified candidates will receive an Upwork contract offer and onboarding instructions.
  • After accepting the contract, candidates will gain access to the client's evaluation.
  • Candidates who successfully pass the evaluation will be invited to a technical interview with the client.