Top Data Science Jobs in Calgary
As a Staff Data Scientist for new initiatives at Dropbox, you will lead the data team in balancing urgency and quality, partnering with leadership across all functions, and building reliable data foundations for AI/ML capabilities' growth. Responsibilities include creating a data-informed culture, identifying impactful opportunities, and executing experiments efficiently. The role requires a Master's degree in a quantitative discipline, 8+ years of data-driven analysis experience, and proficiency in SQL, Python, and statistical analysis.
The Senior Data Engineer at Babylist will be responsible for defining the next stages of maturity in data platforms, with a focus on building and scaling Machine Learning pipelines. They will work cross-functionally to deliver data solutions that drive product growth and innovation.
Lead Data Management Consultant proficient in Python scripting, responsible for driving discussions on use case development, scripting automation, consulting, and influencing product development on the Workiva Platform. Provide implementation services, share knowledge, and create documentation and analytics for data management solutions.
As a Principal Research Data Scientist at Coalition, responsible for measuring, understanding, and optimizing data usage for cyber insurance. Leading projects using quantitative analysis, creating risk signals, designing data models, and mentoring junior employees. Contributing to the culture of data excellence on the team.
Seeking a Principal Data Scientist to lead the predictive analytics practice in the Data & Analytics team, focusing on operationalizing ML models for core financial metrics and customer consumption forecasts. Responsibilities include refining time series forecasts, partnering with Data Engineering, and collaborating with various teams to improve model performance.
Seeking a highly skilled Senior Data Scientist to lead data science and machine learning efforts, uncover valuable insights from product data, guide strategic decision-making, and contribute to the growth and success of the company.
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.
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.
Featured Jobs
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.
Lead the design, analysis, and interpretation of experiments, develop statistical models and machine learning algorithms, analyze large datasets, and drive high-impact data projects.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
Join our innovative team as a Sr. Data Scientist and work on cutting-edge AI/ML applications in industries like fleet & EV, Health Benefits, and Corporate Payments. Lead AI/ML model development, collaborate with cross-functional teams, drive rapid prototyping, and mentor junior data scientists. PhD or Master's in computer science or related field with 5+ years of experience required.
Lead R&D for new and existing data science powered products, collaborate with engineering and product teams, provide technical expertise and support, educate colleagues in other departments about data science in marketing and advertising.
Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.
Avetta is seeking a Senior Data Analytics Developer with 5+ years of experience in analytics and databases to collaborate with Product Teams in creating innovative data analytics solutions.
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Join StackAdapt as a Data Scientist/Senior Data Scientist to innovate ML algorithms, write production code, and prototype potential algorithms and pipelines. Remote First company open to candidates anywhere in Canada. Requires Masters degree or PhD in Computer Science, Statistics, Operations Research, or related field.
Lead R&D for new and existing data science powered products, collaborate with engineering and product teams, provide technical expertise for non-technical stakeholders, educate colleagues on data science in marketing and advertising.
Seeking a Senior Data Engineer to design, implement, and maintain data pipelines for healthcare data. Responsibilities include ETL pipeline development, data governance, technical leadership, and troubleshooting. Qualifications include 5+ years of data engineering experience, proficiency in Python and SQL, and familiarity with data warehousing concepts and cloud platforms.
Looking for a Principal Data Scientist experienced in supply chain optimization and inventory allocation, with strong coding capabilities in Python.
Senior Data Scientist role at RevenueCat to enable developers to make better decisions using unique data collected across the subscription ecosystem. Responsibilities include building predictive models, improving data pipelines, and contributing to data feature roadmap.
Lead the design and implementation of reliable data pipelines, data storage solutions, data modeling, and integration technologies. Manage specific data pipelines, optimize data processes, identify improvements, automate data processes, and collaborate with teams to articulate data strategies. Promote best practices in data engineering, cloud infrastructure, networking, and security.
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.
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.
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.
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.
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