Top Data Science Jobs in Toronto
Design, build, and maintain scalable data pipelines and ETL processes, optimize data models for analytics and machine learning, ensure data quality and integrity, collaborate with data scientists, manage database systems, maintain data security, evaluate new technologies, document data architectures.
Responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques. Transform business challenges into scientific research problems, develop data-driven solutions, build and execute data science projects, deploy and maintain solutions, present results, protect algorithms, collaborate with teams.
The Senior Data Scientist and ML Engineer will be responsible for setting up predictive models and productionalizing MLOps pipelines to grow the capital lending product while ensuring optimal risk management. They will collaborate with cross-functional teams to deliver actionable solutions and drive organizational growth and success.
Looking for a Data Engineer with expertise in Python to work on large datasets, ensuring data quality, analyzing data using statistical techniques and machine learning algorithms, and communicating findings to stakeholders through visualizations and reports.
The Senior Data Scientist at Gore Mutual Insurance will be responsible for developing efficient, reusable pipelines and algorithms to drive value from data. Key responsibilities include constructing pipelines for algorithm-driven insights, optimizing business solutions, data ingestion, model deployment, and feature engineering. Strong communication with business stakeholders is essential for success in this role.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
The Senior Data Scientist will be responsible for developing efficient, reusable pipelines and algorithms to drive value from data at Gore Mutual Insurance. Key responsibilities include constructing pipelines for algorithm/model insight, optimizing business solutions, data ingestion and model deployment, feature engineering, and interacting with business stakeholders.
Data Engineers at Credera work closely with Subject Matter Experts to design the ontology, develop data pipelines, and integrate Foundry with external systems. Responsibilities include project work with Palantir Foundry, Python expertise, machine learning, and collaboration with Product teams. Requirements include proficiency in Python, PySpark, SQL, AWS, Git, and agile working methodology.
Seeking an experienced Data Scientist to support AI products at TRADER Corporation. Responsibilities include predictive modeling, prototyping new ideas, and managing large-scale data processing systems. Required skills include Python, SQL, ML model training, data cleaning, and analytical tools.
Set up predictive models and productionalize MLOps pipelines for capital lending product, leverage data-driven insights to enhance business strategies, collaborate with cross-functional teams, conduct data analysis using statistical and machine learning techniques, develop predictive and prescriptive models, collaborate with business leaders, validate model performance, and monitor model performance.
Rill Data is seeking a Data Engineering Lead who will have a direct impact on Rill and its customers by implementing the data infrastructure, leading a team of data engineers, and driving implementations of customer data pipelines. The ideal candidate will have experience in designing and managing enterprise-level database systems, working with high volume and high velocity data, and using tools like Python, Scala, SQL, Apache Flink, Apache Beam, Apache Spark, DBT, Airflow, Snowflake, BigQuery, Redshift, HIVE, and Apache Kafka.
Design, build, and optimize data pipelines, contribute to data warehouse management, implement ETL processes, collaborate with data scientists for data analysis, optimize performance, document data models, collaborate within a cross-functional team.
Seeking an experienced Data Engineer to architect and develop data pipelines, collaborate with clients, design cloud-based data platforms, implement data governance best practices, build data models, and work on comprehensive data solutions. Must have 5+ years of experience in data engineering, expertise in cloud data services, and familiarity with BI tools and programming skills in Python.
Lead Data Engineer responsible for ETL activities, data modeling, and building data infrastructure to support decision-making and business process optimization. Collaborate with teams to deliver medium-high complexity initiatives aligned with IT Risk objectives. Own projects to elevate KRI reporting and be an expert on available data sets and tools.
Looking for a Data Engineer to join a globally distributed team, responsible for building end-to-end data pipelines, developing analytical processes, managing the data lake, and collaborating on various data-related tasks. Must have strong analytical mindset and experience in databases, visualization, and modeling techniques.
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Lead Data Scientist in the Rider team at Lyft, responsible for leveraging data to shape the rider app and make business decisions. Collaborate with various teams to translate data insights into actions, design experiments, and monitor product performance.
Senior Analytics Engineer role at Lightspeed, responsible for building data pipelines, data models, and providing insights to corporate stakeholders. Requires proficiency in SQL and Python, experience with MPP data warehouse, cloud environments, Git, CI/CD, and security compliance. Responsibilities include data cleansing, collaboration with data analysts, ensuring data quality, automation, and technical leadership on data solutions.
Senior Data Scientist role at Fusemachines, a leading AI strategy and education services provider. Remote, 3-month contract with possible extension. Requires 7+ years experience in AI, Master's or Ph.D. in Computer Science or related field. Expertise in NLP, large language models, Transformer architectures, and distributed computing systems. Responsibilities include algorithm development, model implementation, and collaboration with software engineers for scalability.
The Senior Analytics Engineer at Lightspeed is responsible for building data pipelines, data models, and providing insights to corporate stakeholders. The role includes collaborating with data analysts, ensuring data quality and usability, automating data testing, providing technical leadership, and continuously improving data pipelines. The ideal candidate is proficient in SQL and Python, has experience with MPP data warehouse and cloud environments, and possesses excellent communication skills.
Design, build, and maintain scalable and efficient data services to collect, process, and transform data from various sources into usable format. Integrate diverse data sources and formats, including structured and unstructured data, APIs, and streaming data.
Join Super.com as a Senior Analytics Engineer to evolve the data infrastructure supporting the finance department. Lead data projects from ingestion to reporting, promote data-driven culture, and collaborate with key stakeholders to improve processes. Requires 3+ years of experience in analytics engineering, strong SQL skills, data modelling expertise, and experience with data warehouses and modern data stack.
Automate manual processes through SQL and Python, design ETL solutions, analyze and extract data, create data visualizations, work with Google Analytics, and manage data infrastructure. Bachelor's or Master's degree in relevant field required. Must have 2-4 years of experience in digital marketing analytics.
Seeking a Senior Data Scientist with expertise in applied data science and optimization at industry scale to guide technology strategy for machine learning and optimization. Responsible for driving execution and improvement of strategies at Index Exchange.
As a Data Engineer at Gore Mutual Insurance, you will be responsible for building and maintaining the data platform, facilitating data accessibility, accuracy, and accountability for data-driven decision-making. Collaborate with cross-functional teams to ensure robust and scalable data processes.
The Senior Data Engineer on the Growth team at Lyft owns the data architecture and pipelines for growth campaigns, ensuring reliability, accurate reporting, and cost-efficiency. They collaborate cross-functionally to align business goals with data engineering efforts.
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