Responsibilities
- Translate marketing and business challenges into analytical use cases, assess feasibility, and define clear hypotheses.
- Develop statistical and machine learning models including regression, forecasting, classification, and clustering to identify performance drivers and predict business outcomes.
- Build and maintain scalable data pipelines for data ingestion, transformation, and quality assurance across diverse marketing data sources.
- Develop production ready modeling solutions including model training, deployment, monitoring, and ongoing refinement.
- Evaluate and select appropriate statistical and machine learning techniques based on business context, constraints, and data availability.
- Create clear and compelling data visualizations and dashboards to support data storytelling and decision making.
- Collaborate with cross functional partners in an agile environment and iterate on solutions to maximize business impact.
Requirements
- Substantial quantitative skill set with 2-3 years of relevant experience.
- Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field.
- Excellent interpersonal and communication skills
- Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
- Proficient in Python (preferred) and/or R
Nice to Have
- Preference in Causal Inference topics, Time Series, Advanced Statistics
- Cloud technologies (GCP, Azure, AWS) especially Google Cloud Platform
Benefits
- We are united by our values and strengthened by our hybrid expertise.
- There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
- Client trust is won on the field: Addressing client needs flows better hands on at their side.
- If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
- If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
- We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.
Work Arrangement
Hybrid — Canada
Additional Information
- #LI-Hybrid
