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Data Science Jobs in Ottawa are in strong demand as organizations increasingly rely on data-driven decision-making to improve efficiency, innovation, and competitiveness. Data scientists play a crucial role in transforming large volumes of structured and unstructured data into actionable insights that support strategic business goals.
Professionals working in data science roles in Ottawa analyze complex datasets, build predictive and statistical models, develop machine learning algorithms, and communicate insights to technical and non-technical stakeholders. Ottawa’s unique mix of government institutions, research organizations, technology companies, and regulated industries creates diverse opportunities for data science professionals.
Employers hiring for Data Science Jobs in Ottawa include federal government departments, healthcare providers, financial services firms, telecom companies, cybersecurity vendors, SaaS platforms, and AI-driven startups. Job opportunities are available across downtown Ottawa, Kanata, Nepean, Orleans, and the National Capital Region (NCR).
Core responsibilities typically include data cleaning, exploratory data analysis, feature engineering, model development, validation, deployment, and performance monitoring. Data scientists are also expected to ensure data quality, security, and compliance, particularly in regulated environments common in Ottawa.
Entry level data science jobs in Ottawa are ideal for fresh graduates, recent postgraduates, and career transition professionals with 0–2 years of experience. These roles focus on building strong foundations in data analysis, statistics, programming, and machine learning concepts.
Entry-level data scientists typically assist senior team members with data preparation, exploratory analysis, reporting, and basic model development. They work with structured datasets, dashboards, and visualization tools while learning best practices in data governance and reproducible analytics.
Common entry-level titles include Junior Data Scientist, Data Analyst, Associate Data Scientist, and Graduate Analytics Engineer. Many organizations in Ottawa provide structured onboarding, mentorship programs, and access to real-world datasets to accelerate early-career growth.
Mid level data science jobs in Ottawa target professionals with 3–6 years of experience who can independently design analytical solutions, develop predictive models, and contribute directly to business outcomes.
Mid-level data scientists are expected to handle complex datasets, select appropriate algorithms, tune models, and interpret results in a business context. They often collaborate closely with software engineers, data engineers, and domain experts to deploy scalable analytics solutions.
Typical job titles include Data Scientist, Machine Learning Analyst, and Applied Data Scientist. Ottawa employers offer competitive salaries, hybrid or remote work options, and opportunities to work on high-impact public and private sector projects.
Senior data science jobs in Ottawa are designed for experienced professionals with 7+ years of experience who can lead analytics initiatives, define data strategy, and mentor teams.
Senior data scientists are responsible for designing advanced models, overseeing end-to-end analytics pipelines, ensuring model governance, and aligning data initiatives with organizational goals. They often work closely with leadership, policy makers, and cross-functional teams.
Job titles include Senior Data Scientist, Lead Data Scientist, Principal Data Scientist, and Analytics Architect. These roles offer strong compensation, leadership responsibility, and long-term career stability in Ottawa’s growing data ecosystem.
Employers hiring for Data Science Jobs in Ottawa typically prefer candidates with strong academic backgrounds combined with hands-on experience. Education in quantitative disciplines is highly valued.
Strong communication skills are essential for success in data science jobs in Ottawa. Professionals must translate complex analytical findings into clear insights for decision-makers, policy leaders, and non-technical stakeholders.
The interview process for Data Science Jobs In Ottawa Entry Mid Senior Roles includes online interviews conducted via Zoom, Google Meet, or Microsoft Teams, followed by face-to-face interviews at Roles offices for shortlisted candidates. It typically involves an initial screening, a technical discussion or case study, and a final HR evaluation.
Technical and HR rounds conducted via Zoom, Google Meet, or Microsoft Teams.
In-person interview at Roles office locations for shortlisted candidates.
Screening round, technical discussion or case study, followed by HR evaluation.
Cybotrix Technologies offers strong hiring opportunities for Data Science Jobs In Ottawa Entry Mid Senior Roles across diverse industries including Banking & FinTech, Healthcare & Pharma, Retail & E-commerce, Telecom & Media, and Manufacturing. Additional demand comes from Government and Education, Logistics & Supply Chain, and fast-growing AI & SaaS startups, driving roles in analytics, AI, and data-driven decision making across sectors.
BFSI, payments, risk analytics, fraud detection
Clinical analytics, bioinformatics, health AI
Customer insights, demand forecasting
Network analytics, subscriber intelligence
Industrial analytics, quality optimization
Research analytics, policy data systems
Route optimization, operations analytics
ML platforms, product intelligence
Upload your profile today if you are searching for Data Science Jobs in Ottawa. Cybotrix Technologies partners with 200+ hiring organizations across Canada, offering entry-level, mid-level, and senior data science opportunities in Ottawa and the NCR.
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