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Data Science Jobs in Toronto Avenue, Morris, Manitoba

Intern, Data Science (Winter 2024)
By Wealthsimple At Toronto, Ontario, Canada
First-hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
Second Interview: 1-hour interview with a hiring manager where you will be walking through a project review
Building a high-quality and scalable state-of-the-art data warehouse that powers all decision-making
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
Using decision science to understand the cause and effect of our business decisions
Are driven to ship frequently
Data Science & Advanced Analytics Intern/Co-Op [Td Bank]
By CareerBeacon At Toronto, Ontario, Canada
Experience with Data Management, Analytics, and Project Management is a plus.
And make tangible recommendations to senior management.
Knowledge/experience with machine learning is considered an asset.
and make tangible recommendations to senior management.
Strong statistical and analytical skills and interest are necessary.
Experience in Python, SQL and/or other data-related programming languages.
(Global Oil Gas) Data Science Specialist - Ph.d Holder
By MatchaTalent At Toronto, Ontario, Canada
Manage discussions with internal and external project teams.
Five plus years' relevant experience.
Strong background in data science, artificial intelligence engineering, machine learning, digitalization, and software development skills.
Develop and use state-of-the-art machine learning techniques for predictive modeling.
Propose data-driven insights, solutions, and designs based on experimental results.
Accelerate technology discovery and optimize the performance of R&D solutions.
Data Science (Ai) Internship
By DLytica Inc. At Toronto, Ontario, Canada

🚀 Limited Seats! Data Science (AI) Internship at Dlytica Inc. 🚀

⏳ Don't Miss This Opportunity ⏳

Senior Manager, Data Science And Data Engineering
By HelloFresh At Toronto, Ontario, Canada
3+ years of people management experience or leading a data team/function.
Minimum 5 years of experience in the data space, with proven experience in building high-performing teams and delivering high-value analytics.
Bachelor's degree in data science, computer science, or a related discipline, or relevant work experience.
Strong analytical and critical thinking skills, with the ability to solve complex problems and evaluate alternative approaches.
Proficiency in Python and SQL, with experience in data engineering practices, testing, and DevOps for data pipelines.
Knowledge of data structures, data formats, and software design patterns.
Data Science Ai Digitalization Specialist
By MatchaTalent At Toronto, Ontario, Canada
Manage discussions with internal and external project teams.
Five plus years' relevant experience.
Strong background in data science, artificial intelligence engineering, machine learning, digitalization, and software development skills.
Develop and use state-of-the-art machine learning techniques for predictive modeling.
Propose data-driven insights, solutions, and designs based on experimental results.
Accelerate technology discovery and optimize the performance of R&D solutions.
2023 Fall Applied Science Internship - Canada, Student Science Recruiting
By Amazon At Toronto, Ontario, Canada
Experience in designing experiments and statistical analysis of results.
Experience in understanding and ability to implement algorithms using both toolkits and self-developed code.
Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.
Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
Enrolled in a Ph.D. degree in computer science, machine learning, engineering, or related fields.
Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
Head Of Data Science And Advanced Ai
By Takeda Canada Inc. At Toronto, Ontario, Canada
Demonstrated leadership and project management skills in deploying, leading and implementing successful projects.
Familiarity with information management practices, regulatory requirements, and data privacy laws, especially those that uniquely effect the pharmaceutical industry.
Build out an Advanced analytics community of practice with the charter of knowledge sharing, improving adoption and
Bachelor’s degree in a relevant field; or relevant work experience.
Strong leadership skills, with the ability to inspire and motivate a team to achieve ambitious goals.
Strong technical and indepth knowledge of data mining, machine learning, statistical modeling, and programming languages such as Python or R.
Senior Developer, Data Science
By Bell At Toronto, Ontario, Canada
Experience with Jupyter Notebook, GIT, and other software management tools
Be able to create and deliver presentations to peers and management
Knowledge of, and preferably experience with, Big Data and/or software development, and/or developing visualization tools
Exercise leading edge analytics skills to identify previously undetected patterns of behavior or correlations between related datasets
Maintain and expand knowledge of data systems and current technology through training opportunities
3+ years of total experience with a minimum of 1 year working with Machine Learning and Artificial Intelligence algorithms and approaches
Data Science – 4 Month Co-Op/Internship (Fall 2023)
By Intact At Toronto, Ontario, Canada
Are well organized, with good time management skills
Have strong analytical and problem-solving skills
Get experience working with different types of data including telematics, text data and image data
Practical experience in data science, machine Learning or deep learning
Knowledge of Big Data tools: Spark, Hadoop (an asset)
Knowledge of computer vision or natural language processing (NLP) (an asset)
Manager, Marketing Data Science
By Scene+ At Toronto, Ontario, Canada
Manage. You will coach and guide the work of a Marketing Data Scientist, sharing knowledge, removing barriers, and maintaining open communication.
Why work for Scene+? The best of all worlds. We offer:
What's in it for you:
As our new Marketing Data Scientist, you will:
Software Dev Engineer, Measurement, Ad Tech, And Data Science (Mads)
By Amazon At Toronto, Ontario, Canada
Knowledge of data management fundamentals and data storage principles
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Experience using big data technologies (Spark, EMR, Presto, etc.)
Knowledge of distributed systems as it pertains to data storage and computing
Manager- Data Science (Remote)
By Sun Life At Toronto, Ontario, Canada
Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)
BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience
3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)
Atleast 1 years experience leading or coaching technical teams
Experience with AWS services including SageMaker
Experience with machine learning including supervised and unsupervised models
Head, Data Science Lab
By Financial Services Regulatory Authority of Ontario (FSRA) At Toronto, Ontario, Canada
Education: University or Post-Graduate Degree in finance, business, law, analytics, mathematics, computer science, information management, statistics or a related field.
Relationship Management: Exceptional interpersonal skills coupled with a track record of building and maintaining effective working relationships with key internal stakeholders.
Industry Experience: Expertise in financial services, financial regulation and pensions related databases and data sources is considered an asset.
Developing operational plans for the department, which align with, and support the function’s operational plan and overall FSRA strategic plan.
Data Collection/Visualization: Expertise in data collection, transformation and analytical techniques and tools (e.g., data visualization, data mining, machine learning, etc.).
Your Opportunity to Make Difference
Head Cmc Data Science - Vcds
By Sanofi At Toronto, Ontario, Canada
Manages execution team and key stakeholders through impactful power of influence.
Demonstrated experiences in developing complex data analytics workflow – machine learning, multivariate analysis - on biologics processes.
Intermediate to advanced knowledge of data architecture, data warehousing, functional and acceptance testing.
Proven skills in leading complex data OR digital projects in an international / matrixed environment with both internal and external resources.
Team player with excellent communication and presentation skills.
Coaching and mentoring skills, supporting development of scientists in the area of data science.
Manager, Data Science Jobs
By Scotiabank At Toronto, Ontario, Canada
Knowledge of Banking Industry, such as products, services, policies and procedures, regulations and related regulatory requirements is an asset
Education / Experience / Other Information
Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
Leverages advanced analytics techniques to improve customer/employee experience and end-to-end business processes, with a focus on optimization and simulation techniques.
Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication. Strong interpersonal and communication skills are essential.
2+ years of experience in managing and analyzing data with advanced techniques
Vp Of Data Science & Machine Learning
By North Technology People At Toronto, Ontario, Canada

It is expected the successful candidate has experience in the following areas:

As of today, they are looking to hire a VP of Data Science & Machine Learning

Avp, Bi And Data Science Platforms
By Canadian Tire Corporation At Toronto, Ontario, Canada
Excellent written and oral communication, superior presentation, project management, and interpersonal skills
Manage the effective delivery of multiple parallel work streams leveraging cross-functional teams.
Agile delivery and data engineering experience, with the use of tools such as Jira
Collaborate with stakeholders to identify and prioritize data needs and share insights and best practices.
Lead the evolution of the Business Intelligence & Data Science Platforms, ensuring reliability and consistent availability of systems.
A collaborative team player who builds trusting relationships with an extensive network of stakeholders and cross-functional teams
Data Science Manager - Contract
By Scotiabank At Toronto, Ontario, Canada
Experience working within Basel regulatory capital requirements framework
Domain expertise with Business Banking exposures and/or risk management practices
Skills, Experiences And Functional Competencies
You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
Well-developed writing and presentation skills, including competence in comprehensively and concisely reporting and presenting the results of complex analyses.
Ability to efficiently manage multiple priorities to ensure timely delivery.
Data Science Innovation Lead - Forecasting Engine Utility
By Unilever At Toronto, Ontario, Canada
Experience with open source languages (eg. Python) and equivalent tools for distributed computing (PySpark)
Experience deploying solutions in a modern cloud-based architecture
Experience managing the work of team members and 3rd party resource vendors
Experience presenting insights and influencing decisions of senior non-technical stakeholders
Accelerate & simplify access to relevant data, information and insights
Build in-house, leading-edge data, information, insights & analytics capability

Are you looking for an exciting opportunity to use your data science skills to make an impact? We are looking for a Data Scientist to join our team and help us uncover insights from our data. You will be responsible for developing predictive models, analyzing data, and creating visualizations to help us make better decisions. If you are passionate about data and have a knack for problem-solving, this could be the perfect job for you!

Data Science jobs involve the analysis of large amounts of data to uncover patterns and insights. The skills required for a Data Science job include programming, statistical analysis, data visualization, machine learning, and data mining. Qualifications for a Data Science job typically include a degree in a related field such as computer science, mathematics, or statistics. Knowledge of databases, data analysis tools, and programming languages such as Python, R, and SQL is also important. Experience with data analysis and machine learning techniques is also beneficial. Data Science job responsibilities may include developing algorithms, creating data visualizations, and building predictive models.