Data Scientist

POSITION SUMMARY

The Data Scientist designs, builds, and operationalizes analytical solutions that deliver measurable business outcomes. You will translate ambiguous problems into clear hypotheses, prepare and engineer data, develop and validate models, and partner with engineers and stakeholders to deploy solutions into production. This role is hands‑on and outcomes‑focused, accelerating our clients' AI and analytics journeys across use cases in customer intelligence, risk, operations, and beyond.

Primary Location: Across Canada

Work Model: Hybrid 2-Days Onsite

Employment Type: Permanent Full-Time

Vacancy Status: Pipeline Requisition

Compensation Range: CAD 100,000 – 140,000/yr base salary

RESPONSIBILITIES: 

• Gather business requirements and frame data science use cases with measurable success criteria
• Perform data discovery, profiling, cleaning, and feature engineering across large, complex datasets
• Build, evaluate, and iterate on supervised and unsupervised ML models (e.g., classification, regression, clustering)
• Implement robust experimentation, validation, and statistical testing to ensure model quality and reliability
• Collaborate with data engineers to design scalable ETL/ELT and model serving pipelines
• Optimize code and queries for performance, cost, and maintainability in cloud environments
• Create clear, executive‑ready narratives and visualizations to communicate insights and recommendations
• Contribute to productionization with MLOps teams (packaging, CI/CD, monitoring, model drift detection)
• Follow engineering best practices: version control, code reviews, unit testing, documentation
• Stay current on ML/AI techniques and bring practical innovations into client projects

 QUALIFICATIONS, SKILLS & EXPERIENCE: 

• Bachelor's degree in quantitative field (Computer Science, Engineering, Mathematics, Statistics, or related)
• 4+ years of hands‑on experience building and deploying ML models end‑to‑end (problem framing → data prep → modeling → validation → documentation → deployment)
• Proficiency in Python (Pandas, NumPy, scikit‑learn) and strong SQL for data manipulation and performance tuning
• Solid understanding of data modeling, feature engineering, and evaluation metrics for supervised/unsupervised learning
• Experience working with large datasets and modern data ecosystems (cloud data warehouses, files/object storage)
• Ability to communicate complex analytical findings to technical and non‑technical audiences and drive stakeholder alignment

 PREFERRED: 

• Experience with big‑data and distributed computing frameworks (e.g., Spark, PySpark) and/or Databricks
• Exposure to cloud analytics services (AWS, Azure, or GCP) and orchestration (e.g., Airflow, ADF, Glue)
• Familiarity with MLOps practices (model packaging, CI/CD, observability, drift monitoring)
• Experience in consulting or client‑facing roles, translating business needs into technical deliverables

 NICE TO HAVE:

• Experience with NLP, time‑series, or recommendation systems
• Knowledge of experiment design, causal inference, and uplift modeling
• Familiarity with BI/visualization tools (e.g., Power BI) and storytelling techniques
• Exposure to SAS (e.g., SAS Viya) for analytics in regulated environments

 ABOUT ADASTRA

Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence—responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.

Trusted by some of the world's most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey—building future-ready capabilities and delivering measurable, lasting impact.

Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.

WHAT WE OFFER

• Opportunity for advancement and career progression
• Competitive compensation package
• Comprehensive benefits plan
• Successful referral program
• The opportunity to work with one of Canada's 50 Best Managed Companies
• Satisfaction of working for a reputable company 
• A flexible, dynamic, and diverse workplace

EQUAL OPPORTUNITY EMPLOYER

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code.  In addition, accommodation will be provided during the hiring process. Adastra Corporation's implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.

AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.

There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from '' or '' are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.

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