Register
Recruit Create CV

Data Science Engineer Jobs

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
(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
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 ⏳

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
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

(Can) Senior Manager, Data Science & Data Products
By Walmart Canada At Mississauga, Ontario, Canada

Lead the integration of data science capabilities with functional business needs to solve tangible problems with measurable impact.

Senior Manager, Data Science
By Bell At Montreal, Quebec, Canada
Act as a subject matter expert with a deep understanding of tools capabilities and technology infrastructure
Working experience with large data warehouses (interfacing with or managing it)
Excellent written and oral communication skills (English) with a demonstrable history of developing strong partnerships and cross-team collaboration
Experience with SAS, Teradata and SAS Digital Studio
Development experience with at least one general programming language (e.g. Python, C/C++, Java)
Responsible for the BBM data dictionary solution and lifecycle.
Senior Manager Of Data Science & Data Products
By Insight Global At Mississauga, Ontario, Canada
Bachelors/Master’s in engineering, Computer Science, Applied Mathematics, Operations Research or related field, with focus on Business Management
Expert at data and model management
Lead the integration of data science capabilities with functional business needs to solve tangible problems with measurable impact.
8+ years of experience working in analytics or data-science function. Background in software engineering is a plus
1-3 years of direct people leadership experience
Extensive experience in building Logic/ML-based Predictive Models and Optimization Models
Data Science-Remote Role Jobs
By Visionary Innovative Technology Solutions LLC At Canada
This role is flexible in that you can work from home.
• Thorough troubleshooting, debugging, and problem-solving skills
Azure, AWS cloud development experience
Experience in one or more of these areas desirable
• Excellent C/C++ coding skills
• Excellent communication skills with both written and spoken English
Data Science Training & Internship
By OESON At Canada
Excellent written and verbal communication skills
Assist in the collection and analysis of large data sets.
Perform data cleaning, data preprocessing, and data visualization tasks.
Help develop predictive models and algorithms using machine learning techniques.
Collaborate with team members to design, implement, and evaluate experiments.
Participate in team meetings and provide progress reports on assigned tasks.
Science And Data Librarian
By MacEwan University At Edmonton, Alberta, Canada
Providing consultation on the creation, management, use, curation, deposit and sharing of research data;
Providing research data management support;
Developing and delivering informational sessions, materials and web resources on research data management and other data-related topics;
Engaging in local, national, and international initiatives around data services and research data management.
Postsecondary education or library experience in the sciences is an asset.
A minimum of one year of professional experience in an academic library providing services.
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
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
Data Science Accelerator Jobs
By Apziva At Canada

Apziva is a fast-growing startup that brings together professionals from around the world with the goal of bridging the experience gap and unlocking individuals' potential. They facilitate ...

Are you passionate about data and analytics? Do you have a knack for problem-solving and a drive to make an impact? We are looking for a Data Science Engineer to join our team and help us unlock the power of data to drive our business forward. As a Data Science Engineer, you will be responsible for developing and deploying data-driven solutions to solve complex business problems. You will work with a wide range of data sources to uncover insights and develop predictive models to inform decision-making. If you are a creative thinker with a passion for data and analytics, we want to hear from you!

A Data Science Engineer is responsible for developing and deploying data-driven solutions to solve complex business problems. They use a variety of tools and techniques to analyze data, build predictive models, and create visualizations to help organizations make informed decisions.

What is Data Science Engineer Job Skills Required?

• Proficiency in programming languages such as Python, R, and SQL
• Knowledge of machine learning algorithms and techniques
• Ability to work with large datasets
• Experience with data visualization tools such as Tableau and Power BI
• Knowledge of data engineering principles and best practices
• Ability to communicate complex data insights to stakeholders

What is Data Science Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field
• At least two years of experience in data science or related field
• Experience with cloud-based data storage and processing
• Knowledge of data mining and data cleansing techniques

What is Data Science Engineer Job Knowledge?

• Knowledge of data science principles and techniques
• Understanding of data structures and algorithms
• Knowledge of data visualization tools and techniques
• Understanding of machine learning algorithms and techniques
• Knowledge of data engineering principles and best practices

What is Data Science Engineer Job Experience?

• Experience with data analysis and data mining
• Experience with data visualization tools such as Tableau and Power BI
• Experience with cloud-based data storage and processing
• Experience with machine learning algorithms and techniques

What is Data Science Engineer Job Responsibilities?

• Develop and deploy data-driven solutions to solve complex business problems
• Analyze large datasets to identify trends and patterns
• Build predictive models to forecast future outcomes
• Create visualizations to communicate complex data insights to stakeholders
• Develop data pipelines to automate data processing and analysis
• Monitor data quality and accuracy to ensure data integrity