Training Courses Offered: Data Engineer.data Science & Data Analyst
By DLytica Inc. At Canada
Receive a prestigious Dlytica Inc. certification 📜
🌟 Enrollment Now Open for Dlytica Inc.'s Second Training Session! 🌟
We are thrilled to announce that enrollment for our Second Training Session has officially begun! 🎉
📍 Location: Online - Learn from the comfort of your home!
Refer a friend and earn amazing rewards! Your success story can be theirs too! 🤝
🏆 Why Choose Dlytica Inc.:
Data Science Residency Jobs
By Apziva At Canada
Unlimited industry projects: gain hands-on industry project experience and apply your knowledge and skills on solving real problems.
Strengthen your Resume and Portfolio: Work with a Hiring Manager from industry-leading companies
Practice Mock Interviews: Practice technical interviews with Principal Data Scientists, Machine Learning Engineers and improve your interview skills.
Remote and flexible: work remotely which you can do at your own pace from the comfort of your home.
Take the Skills Review Survey: Take a 20-minute Machine Learning and Python assessment.
Initial Interview: Interview with our Director of AI to talk about your goals and skills
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.
Student, Data Science/Analytics, January 2024 (Calgary)
By Cenovus Energy At Calgary, Alberta, Canada
Knowledge in Power BI, Spotfire, GitLab, R, Python, or SQL would be considered as asset.
Excellent analytical/modeling and communication skills
A multi-discipline program with meaningful, hands-on work experience
Interested in some of our past student experiences? Read their stories here.
Solve key business problems including but not limited to data integration, predictive maintenance, subsurface analytics, process optimization, and time series forecasting
Support data science initiatives, internal tools, and end-to-end machine learning solutions
Science Communicator Jobs
By Science North & Dynamic Earth At Sudbury, Ontario, Canada
Deliver quality, educational, and informal science experiences related to the customized version of the Indigenous Ingenuitytravelling exhibit.
Deliver quality, educational, and informal science experiences related to the customized version of the
Strong communication and presentation skills
Strong organizational and interpersonal skills
Actively champion and promote the exhibit and other Science North programs
Assist with community focused marketing initiatives such as distribuiting posters, taking photos and videos, and supporting photo shoots
Data Science (Ai) Jobs
By DLytica Inc. At Canada

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

⏳ Don't Miss This Opportunity ⏳

Data Science Project Manager
By CropVue Technologies At Vancouver, British Columbia, Canada

CropVue Technologies is a leading agricultural technology company specializing in crop and pest monitoring solutions. Our innovative platform combines advanced daily imaging, automated AI recognition ...

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.
Business Analyst With Data Science
By sourcemantra At Greater Toronto Area, Canada

DataBusiness Analyst/Insights Analyst: · T he Business Insights Analyst is responsible for the holistic identification of Business Analytics, Reporting andDataManagement Requirements as part ...

Data Analyst - Strategic Projects & Reporting (Faculty Of Science)
By The University of British Columbia At Greater Vancouver Metropolitan Area, Canada
Experience architecting or designing relational databases and working with Relational Database Management System (RDBMS) tools
Experience in project coordination/project management, leading projects from initiation to closing phases, as well as planning, developing, and implementing new processes.
Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion
Experience implementing or working with web services
Clean and prepare structured and unstructured data to main information in its most useful form
Implement reproducible methods of analysis using GitHub, Python, R, Tableau, and related tools
Data Science Intern - Environment
By GHD At Waterloo, Ontario, Canada
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Uses unstructured and disjointed datasets for the purpose of independently generating useful business insights as well as crafting manageable analytical processes
Teammate, collaborating with others in the data analytics team and sharing information and knowledge, in solving sophisticated business issues
Strong knowledge of remediation techniques, chemical engineering calculations, PFAs compounds
Academic/professional experience in but not limited to libraries such as Pandas, NLTK, Scrapy, BeautifulSoup, Numpy/Scipy, Sklearn/H2O, TensorFlow/PyTorch and/or Keras
Basic knowledge of Big Data techniques and Cloud Computing
Sessional Instructor: Data 311, Department Of Computer Science, Faculty Of Science
By University of Calgary At Calgary, Alberta, Canada

Concise statement of teaching philosophy .

Careers in the Faculty of Science

Data Science - 4 Month Co-Op/Internship (Fall 2023)
By Intact At Vancouver, British Columbia, 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
Practical experience with Python or R programming languages
Knowledge of computer vision or natural language processing (NLP) (an asset)
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.
Data Science Jobs
By Dice At Field, British Columbia, Canada

BS in Computer Science, Engineering, Statistics, or a related field

5 or more years of developing deliverables

Science Technician - P/T - Upminster
By GSL Education At Essex, Ontario, Canada
Desirable Skills And Experiences Include
Six months' experience in a chemical laboratory/technician role
Awareness of CLEAPSS and/or COSHH regulations
Data Analytics / Computer Science Student - Sept 2023
By Suncor At Calgary, Alberta, Canada
You must be returning to full-time studies after the work term
Please attach your most recent transcript with your application
This is a 4, 8, 12 or 16-month work term starting in September 2023

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.