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Data Science Analyst Jobs

Training Courses Offered: Data Engineer.data Science & Data Analyst
By DLytica Inc. At Canada
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🏆 Why Choose Dlytica Inc.:
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
Sr Operations Science Analyst
By DHL Supply Chain At Mississauga, Ontario, Canada
Code experience in object oriented languages like python and java
Relevant work experience in supply chain modelling (e.g., scheduling, vehicle routing, facility location, assignment problems, warehouse picking optimization advanced heuristics)
Identify opportunities for applying advanced optimization techniques across the supply chain
Define the business questions that need be answered and determine appropriate analytical models and approaches to solving such problems
Patent approaches and work with leading universities in researching future opportunities
Develop large-scale decision support tools based on optimization e.g., LP, MIP, NLP, etc...)
Data Science Analyst Jobs
By BCAA At Burnaby, British Columbia, Canada
Work with other team members and colleagues from around the organization to define data requirements
Continuous development of technical knowledge of modelling, coding, visualization and analytical tool use
Working towards actuarial or data science related qualifications
Proactively share knowledge across the team
Demonstrated analytical capabilities, including critical thinking with strong attention to detail
Excellent written communication skills along with the ability to present results of analysis to a non-technical audience
Quantitative Modeling Analyst – Data Science
By J.D. Power At London, Ontario, Canada
Applies and enhances basic and advanced quantitative analytical skills for specific projects/studies
Experience with research methodology and design (required)
Experience with Python, SAS, and/or SPSS (required)
Assist in study methodology design including sample planning and questionnaire development.
Applies business rules, methodologies and performs quality control checks
Works with other individuals and teams to ensure project accuracy and timeliness of information to clients
Summer Analyst - Data Science
By Quantolio At Montreal, Quebec, Canada
·Strong experience and skills working with and analyzing large amounts of data
·Msc. Or Ph.D. in Finance, Economic, Statistics, Computer Science or Mathematics.
·Prior experience in a quantitative role is a plus, but is not required.
The candidate must follow all the following criterias:
·Be able to legally work in Canada
·Be a Canadian citizen, permanent resident or Canadian Refugee
Business Analyst (Faculty Of Science)
By The University of British Columbia At Greater Vancouver Metropolitan Area, Canada
Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion
Works daily with a project team including a project manager, functional experts, and other project specialists
Lead stakeholder requirements gathering and review sessions and obtain sign-offs as required.
Acquire and maintain a working knowledge of the university’s technical and business environment.
Understands key technical environments to effectively identify integration, security, scalability, and performance requirements.
Identifies, elicits, and documents business requirements, defines business rules and communicates requirements for the implementation of business solutions.
Analyst, Data Science And Analytics
By Element Fleet Management At Mississauga, Ontario, Canada
Someone who has excellent project managerial skills, creative skills, and a process-focused aptitude.
Conduct analytics designed to drive actionable insights for the sales and account management teams.
Ability to manage multiple tasks and responsibilities simultaneously.
Project Management/Six Sigma/Agile or other methodologies a plus
Support the Sr. Analyst and Manager, CRM and Analytics, and Director, CE to execute business priorities, including:
Support the Sr. Analyst and Manager, CRM and Analytics, and Director, CE to execute analytical priorities, including:
Data Science Analyst Jobs
By Cenovus Energy At Calgary, Alberta, Canada
Experience with cloud data management e.g. Microsoft Azure
Experience in modelling, data mining techniques, data warehousing and metadata management
Experience in implementing a digital solution such as dashboards, information management and other decision-making visual analytical tools.
Broad knowledge of data management technologies with commitment to continuous learning to keep pace with emerging trends
Experience or knowledge in relational databases and writing SQL code
Knowledge and some experience in Data Modeling, ELT/ETL Development, and Data Warehousing
Director, Data Science (Calgary, Ab)
By ziing.com At Calgary, Alberta, Canada
Strong project management skills, with the ability to prioritize and manage multiple projects simultaneously
Lead and manage a team of data scientists and analysts to deliver innovative solutions that drive business growth
At least 7 years of experience in data science, with a proven track record of building successful technology products
Demonstrated experience leading and managing a team of data scientists and analysts
Strong knowledge of machine learning algorithms, statistical modeling, and data visualization tools
Experience with programming languages such as Python, R, or SQL
Academic Teaching Staff - Lecturer (Data Science)
By University of Alberta At Edmonton, Alberta, Canada
CMPUT 291 - Introduction to File and Database Management
CMPUT 391 - Database Management Systems
CMPUT 191 - Introduction to Data Science
CMPUT 195 - Introduction to Principles and Techniques of Data Science
CMPUT 200 - Ethics in Data Science and Artificial Intelligence
CMPUT 361 - Introduction to Information Retrieval
Manager, Data Science Jobs
By 407 ETR At Woodbridge, Ontario, Canada
Organizational skills and time management skills; planning and project management, and ability to meet multiple deadlines.
Previous management experience in data science is a strong plus.
previous management experience in data science is a strong plus.
Mentor and coach junior and senior data scientists on statistical techniques, experimental design and project management.
Strong understanding of operations research (linear and mixed integer programming) and experience building price optimization models, promotional targeting, and a/b testing.
Experience with churn, CLV, customer segmentation and persona building.
Data Science Co-Op (R&D) - Summer Term
By Swift Medical At Toronto, Ontario, Canada
Experience in software development or coding in Python;
Solid experience in projects involving Data Science, Machine Learning;
Experience in a healthcare setting or with healthcare technology is an asset
Support the R&D team in data organization, and data cleaning as well as other tasks as determined from time to time
Currently pursuing bachelor’s or master’s degree in Data science (or a related field with an emphasis on biomedical engineering or bioinformatics);
Interview 1: 30-minute introductory video interview with our Talent Partner
Data Science Co-Op (R&D)
By Swift Medical At Canada
Experience in software development or coding in Python;
Solid experience in projects involving Data Science, Machine Learning;
Experience in a healthcare setting or with healthcare technology is an asset.
Some of the things we offer to Swifties:
Participation in our Educational Reimbursement Program
Health, Vision, and Dental benefits
Data Science/Ai Resident
By Apziva At Canada
You’ll procure skills and knowledge on:
Having strong analytical and problem-solving skills
Basic understanding of Machine Learning concepts, and entry level Python programming skills.
You’ll have extensive experience on:
A passion for learning and self-improvement
Fluency in written and spoken English.
Lead Data Engineer - Data Science
By Astreya At Canada
Experience, Skills, Education & Licenses/Certifications
Identifies ways to improve data reliability, efficiency and quality of data management.
Dedicated management to provide you with on point leadership and care
Proven and extensive experience of Python and R programming, data extraction and data manipulation.
Widely experience and proficiency in variouspythonlibraries like SciPy, NumPy, PyTorch, Matplotlib, Pandas.
Overall 8+ yrs of IT experience in the information Industry

Are you looking for an exciting opportunity to use your data science skills to make an impact? We are looking for a Data Science Analyst to join our team and help us unlock the potential of our data. You will be responsible for developing and implementing data-driven solutions to complex business problems, and leveraging your expertise to drive insights and decision-making. If you are passionate about data and have a knack for problem-solving, this could be the perfect role for you!

Overview:

Data Science Analysts are responsible for collecting, analyzing, and interpreting data to identify trends and patterns. They use their findings to inform business decisions and strategies. They must be able to communicate their findings to stakeholders in a clear and concise manner.

Detailed Job Description:

Data Science Analysts are responsible for collecting, analyzing, and interpreting data from various sources. They use statistical methods and algorithms to identify trends and patterns in the data. They must be able to communicate their findings to stakeholders in a clear and concise manner. They must also be able to develop data-driven solutions to business problems.

What is Data Science Analyst Job Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of statistical methods and algorithms
• Knowledge of data mining techniques
• Knowledge of programming languages such as Python, R, and SQL
• Ability to interpret and present data in a meaningful way
• Ability to work independently and in a team environment
• Excellent communication and interpersonal skills

What is Data Science Analyst Job Qualifications?

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field
• Experience with data analysis and visualization tools such as Tableau, Power BI, and Excel
• Experience with data mining and machine learning algorithms
• Knowledge of software development and database management

What is Data Science Analyst Job Knowledge?

• Knowledge of data structures and algorithms
• Knowledge of statistical methods and machine learning algorithms
• Knowledge of data mining techniques
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of data visualization tools such as Tableau, Power BI, and Excel

What is Data Science Analyst Job Experience?

• Experience with data analysis and visualization tools
• Experience with data mining and machine learning algorithms
• Experience with software development and database management

What is Data Science Analyst Job Responsibilities?

• Collect, analyze, and interpret data from various sources
• Identify trends and patterns in the data
• Develop data-driven solutions to business problems
• Communicate findings to stakeholders in a clear and concise manner
• Develop and maintain data models and reports
• Monitor data quality and accuracy