Top Data Science Jobs in Toronto

As a Data Scientist at Oxa, you will research and develop advanced data pipelines for analysis and validation of deployment domains, ensuring data coverage and supporting a common testing framework. Your role involves data governance, creating dashboards, and collaborating with teams to manage and synthesize key data for operational excellence in autonomous vehicles.

As a Data Scientist Lead, you will establish analytical frameworks, manage deliverables in an agile setup, and develop predictive and prescriptive models. You'll address complex financial data problems, coordinate across teams, and implement ML and LLM solutions in production environments.

As a Senior Data Scientist at Clio, you'll collaborate with product teams to drive growth through data-driven insights. You'll build AI and ML solutions, apply statistical analysis, and innovate with new data applications. Your role will also involve ensuring data quality and leading discussions based on data findings.

The Data Scientist will analyze complex business problems, develop prototypes and models, work with unstructured data, and create insights for data-driven decisions. They will collaborate with analytics teams to provide access to model data and develop methodologies for data collection and evaluation.

As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.

The Senior Data Scientist will analyze ecommerce and physical store data to derive insights and improve operational efficiencies. Responsibilities include exploratory data analysis, developing analytical models, validating model performance, managing projects, and translating business needs into actionable solutions. The role requires strong technical skills and a creative approach to problem-solving.

As a Data Scientist at Perplexity, you will develop data-driven insights, design and analyze A/B tests, create dashboards, and collaborate across teams to drive product decisions. You will work with user behavior metrics and improve data accessibility to enhance the product roadmap.

As a Senior Data Scientist at Flinks, you will lead the development and deployment of machine learning models, investigate data quality issues, collaborate with engineering teams, mentor colleagues, and contribute to research that transforms the financial ecosystem using advanced data science techniques.

As a Senior Data Scientist at Faire, you will develop and maintain machine learning models for optimization, credit underwriting, and retailer growth. You'll tackle challenges in shipping cost estimation, credit risk evaluation, and automating content generation, working closely with a skilled team of data scientists and engineers.

As a Senior Data Scientist at Tiger Analytics, you will apply your expertise in AI, machine learning, and generative AI to design and build advanced analytics solutions. This role involves collaboration with cross-functional teams to address technical challenges, evaluate and enhance generative AI models, and engineer features from diverse data sources while contributing to the development of best practices in data science.

The Senior Data Scientist will develop innovative data science solutions to address complex business problems, deliver end-to-end solutions using advanced ML algorithms on large datasets, and communicate effectively with diverse audiences. The role involves mentorship of junior staff and adherence to ethical practices.

As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.

The Principal Data Scientist will lead the predictive analytics practice within the Data & Analytics team, focusing on operationalizing ML models for financial metrics and customer forecasts. Responsibilities include refining time series forecast models, partnering with Data Engineering for infrastructure, and collaborating across teams to enhance model performance and address operational use cases.

The Data Intelligence Scientist will analyze customer and internal datasets to identify data gaps and quality issues, enhancing data-driven decision making in therapeutic discovery. Responsibilities include conducting data quality assessments, collaborating with teams for improvement, and integrating new data sources to support client needs.

The Senior Data Scientist will develop innovative data science solutions by collaborating with product managers and stakeholders, applying advanced machine learning algorithms, and delivering comprehensive solutions. Responsibilities include mentoring junior data scientists, communicating analyses, and utilizing a product mindset for deployment and scaling of data science products.

As a Data Scientist, you will monitor and deploy models, design predictive models, collaborate with teams for data pipeline enhancements, and ensure model deployment aligns with business needs. You will also lead projects, communicate progress with stakeholders, and contribute to improving business processes.

As a Senior Data Scientist, you'll analyze large datasets to enhance product performance and customer value, utilizing predictive modeling and cloud resources. Responsibilities include developing data management strategies, monitoring machine learning models, and collaborating with cross-functional teams to troubleshoot and optimize data science processes.