Data Scientist

Valtech

3h • $80,000 - $130,000

About The Position

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
The work we do and the innovation we drive
Our values of share, care and dare
A workplace culture that fosters creativity, diversity and autonomy
Our borderless, global framework, which enables seamless collaboration
The role
Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. We are particularly seeking candidates with hands‑on expertise in Google Cloud Platform (GCP) to support our growing cloud‑based data and AI initiatives. Valtech will provide a platform and training to help them reach their full potential.
Valtech is looking to hire a Data Scientist to join our growing capabilities team. If you are innovative, passionate about data and AI technologies, bring experience with GCP, and are someone who continually learns and enjoys sharing expertise, read on!
Please note, we are only accepting applicants from the provinces of Ontario, Vancouver and Québec for this role. For Québec-based positions, the position requires proficiency in English, as the role involves regular communication with clients and colleagues located outside of Québec.

Requirements

• Hands-on experience with GCP services used in production marketing analytics, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage and Cloud Run or equivalent deployment/runtime patterns.
• Proven industry experience developing predictive or inferential statistical models or Masters/PhD degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.
• Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems
• Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, and R.
• Experience defining and reporting model acceptance metrics, including precision/recall, false-positive rate, and MAPE, with documented backtesting.
• Experience delivering production model artifacts including model cards, model registry updates, confidence intervals/bands, and guardrail-aware recommendations.
• More than 4 years of experience working in similar roles.
• Advanced English skills

Nice To Haves

• Experience contributing to packaged software libraries in open-source or industry repositories
• Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3.
• Proficiency in Looker and SQL-first analytical storytelling; ability to produce decision-ready visuals and narratives for marketing and executive audiences.
• Proficiency scripting in UNIX environment
• Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.
• Proficiency with cloud architecture components (AWS, Azure, Google)
• Proficiency with GCP architecture components relevant to secure analytics products (IAM/service accounts, RBAC-aware data access, deployment and observability patterns)
• Proficiency with data pipeline software such as Airflow, Luigi, or Prefect
• Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action
• Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development
• Experience leading and managing technical data/analytics/machine learning projects

Responsibilities

• Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels.
• Conduct root-cause analyses of known production issues leading to adverse model outputs
• Select and implement appropriate machine learning models for time-series forecasting and supply-chain optimization applications
• Contribute well-tested code to existing, object-oriented Python codebases
• Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline.
• Engineer data pipelines and products to help stakeholders make and execute data driven decisions.
• Communicate analytical findings in an intuitive and visually compelling way.
• Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications
• Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success
• Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines
• Architecting cloud data platform components enabling the above
• Building and tracking project timelines, dependencies, and risks
• Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions

Benefits

• A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage.
• Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program.
• A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech.
• A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.
• Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year.
• Personal Technology Reimbursement – $30/month for every employee-offered on day 1.
• We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level