Top Data Jobs in Toronto
Seeking a Senior Associate, Data Science with 3-4 years of experience in machine learning algorithms, data pipelining, preprocessing, modeling, and analysis. Responsibilities include implementing machine learning models, preparing and integrating various types of data, conducting analyses, and building prototypes.
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.
As a Data Consultant at Kainos, you will combine thought leadership, delivery, and commercial experience to identify and secure new business for digital transformation journeys with vital data considerations. You will be responsible for articulating opportunities and designing data solutions impacting users worldwide.
Clio is seeking a Senior Data Scientist to join their Data Insights team, collaborating with product and business teams to extract valuable insights and enhance decision-making processes. The role involves developing AI and ML solutions to understand customers and drive growth empirically. The ideal candidate is passionate about innovating with data, strategic, self-motivated, and agile. Responsibilities include collaborating with product teams, building AI solutions, applying statistical analysis, and fostering a scientific culture within teams.
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.
Cardinal Health Canada is seeking a Data Analyst for a 6-month contract position with a hybrid work model. The role involves transitioning data pipelines, designing ETL processes, creating data models, developing automated data pipelines, and ensuring data security and compliance. Qualifications include 4-8 years of experience in data analytics, proficiency in SQL, experience with Looker & LookML, cloud-based data platforms, BI dashboarding, and strong problem-solving skills.
Seeking a Lead Analyst for Medtech Data team with 7 years of experience in healthcare or life sciences. Must have strong quantitative analysis skills and experience with Excel, SQL databases. Client facing role collaborating with internal colleagues and presenting complex ideas to clients.
Seeking an experienced Data Engineer skilled in Java and Scala to lead technical and agile teams in software development projects at eBay. Responsibilities include design, development, team leadership, and collaboration with cross-functional teams to deliver innovative solutions. Requires a strong foundation in computer science fundamentals and database experience.
Looking for a Human Data Manager to lead a team of AI tutors, ensure data integrity, and drive the development of products through data curation and technical expertise in AI and ML.
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The Senior Data Analyst role at Maple involves ensuring data-driven decisions are supported by robust data infrastructure and analytics. Responsibilities include gathering requirements, building data models, supporting marketing and product analytics, creating and maintaining reports and dashboards, and tracking KPIs across departments.
Seeking a motivated Data Scientist with 2+ years of experience in data science and machine learning. Must have strong Python skills and experience with end-to-end solutions using diverse technologies. Collaborative mindset and problem-solving skills are essential.
Lead Analyst in Data & Analytics responsible for designing dashboards, performing analyses, identifying trends, and providing insights through reporting and data visualization techniques. Works with other data professionals to optimize analytics solutions.
Seeking a Senior Analyst in Data & Analytics to utilize advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data. Responsibilities include developing predictive models, designing solutions for smarter business decisions, and collaborating with other data professionals to optimize analysis.
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.
The Senior Data Analyst at EverCommerce will collaborate with various teams to lead analytics initiatives, develop key performance indicators, create user-friendly dashboards, and provide actionable insights from data analysis. They will also identify opportunities for process improvement and ensure data quality and integrity.
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.
Join Scribd's Applied Research team as a Data Scientist II to work on content classification use cases, develop machine learning models, process data with Python, SQL, and Spark, and collaborate with cross-functional squads to drive business impact.
Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Develop high-performance and scalable solutions/APIs in Storm, Spark, and big data. Work on optimizing data pipelines and architectures involving petabyte and terabyte of data. Collaborate with engineering teams and engage with product management to drive the agenda and deliver product features. Analyze and test programs before launch, ensure software security, and seek ways to improve software effectiveness.
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.
Senior Data Analyst role at Sun Life, responsible for analyzing and interpreting trends using statistical tools, reporting on business performance, and supporting key initiatives in client acquisition analytics.
The Data Architect role at HHAeXchange involves developing, documenting, and communicating frameworks, standards, and practices for effective data management within the organization. Responsibilities include overseeing governance of the enterprise data platform, data modeling, ensuring data quality and security, collaborating with stakeholders, and implementing data security measures and compliance.
The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
Sphera is seeking a Software Engineer with 1-3 years of experience to join their SpheraCloud engineering team. The role involves working on a SaaS application to help companies achieve their ESG goals by utilizing technologies like Scala, Hadoop, and Akka.
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.
As an IT Specialist, Master Data Migration at Saputo, you will be responsible for all organization-wide master data migration activities across major regions operating on an SAP ERP platform. This includes designing, building, and testing data validation tools, enhancing data quality standards, preparing documentation, extracting and transforming data, making decisions, and reporting to stakeholders.
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