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Data Science Lead Jobs

Training Courses Offered: Data Engineer.data Science & Data Analyst
By DLytica Inc. At Canada
Receive a prestigious Dlytica Inc. certification 📜
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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.
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 (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 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

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.
Data Lead Jobs
By dentsu At Toronto, Ontario, Canada
3+ years working in the field of digital analytics, preferably in an advertising agency or management consultancy
Strong knowledge of ETL processes and experience in data extraction, transformation, and loading.
Basic knowledge of cloud computing concepts and experience in Google Cloud
Mentor, project-manage, and guide junior analyst as well as troubleshoot and QA deliverables
Build backend data connection and manage data warehouse in the ETL process
Proven experience in designing and building interactive dashboards using Data Studio or Tableau.
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 ...

Manager, Data Science Jobs
By KOHO At Canada
2+ years of management experience in the data domain managing and guiding high performance teams
You have 5+ years of experience working with data and engineering teams
You have expert knowledge of Python and SQL
You have experience developing models, deploying them in a production environment, and integrating them into SaaS infrastructure
💻 Remote First - Work from anywhere in Canada with a budget to set up your home office
You will understand the data-driven decision making needs of a high-growth organization and be focused on concrete outcomes and driving KPIs.
Data Analytics/Data Science/Machine Learning
By InfoTelematics At Ajax, Ontario, Canada
Develop and manage ETL or ELT processes in Azure Synapse, Databricks or similar workspace.
Create and manage lake house in Data bricks.
Provide recommendations on best practices in building a data lakehouse using Azure and Databricks
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
Group Manager, Technical Data Science
By Atlassian At Canada
Project management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams
Experience applying your analytics skills to identify and lead projects that have had an impact on strategic and product roadmap decisions
Guide demos sessions and education roll out for new data products and features to ensure adoption and usage
3+ years of data science, analytics and/or data engineering leadership experience
Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling stories
Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists.
Director, Data Science - Remote In Canada Except Quebec
By TTEC Digital At Canada
Strong project management skills, with the ability to manage multiple projects and priorities simultaneously.
Lead, grow and mentor a team of data scientists and managers.
Excellent communication and interpersonal skills, with the ability to build strong relationships with clients and business stakeholders.
Strong problem-solving skills, with the ability to identify issues and develop creative solutions.
Ability to manage and mentor junior team members.
Oversee and own Data Science projects throughout the project lifecycle, including scoping, development, validation, implementation, and on-going maintenance.

Are you a data science leader looking to make an impact? We are looking for an experienced professional to join our team and lead the way in data science. You will be responsible for developing and implementing data science strategies, managing data science projects, and driving innovation. You will have the opportunity to work with cutting-edge technologies, collaborate with a diverse team of experts, and make a real difference in the world. If you are passionate about data science and have the skills to lead the way, this is the job for you!

An Data Science Lead is responsible for leading a team of data scientists and engineers in developing and deploying data-driven solutions. They are responsible for developing data models, algorithms, and software to analyze large datasets and uncover insights. They must also be able to communicate their findings to stakeholders and business leaders. To become a Data Science Lead, you must have a strong background in mathematics, statistics, and computer science, as well as experience in data analysis and machine learning. You must also have excellent communication and leadership skills.

Data Science Lead Skills required for your resume and career include:

• Strong knowledge of mathematics, statistics, and computer science
• Experience in data analysis and machine learning
• Ability to develop data models, algorithms, and software
• Excellent communication and leadership skills
• Ability to interpret and present data insights
• Knowledge of data visualization tools
• Ability to work with large datasets
• Knowledge of programming languages such as Python, R, and SQL

Data Science Lead Knowledge for your resume and career include:

• Understanding of data mining techniques
• Knowledge of data warehousing and ETL processes
• Understanding of data engineering principles
• Knowledge of machine learning algorithms
• Understanding of data security and privacy
• Knowledge of cloud computing platforms
• Understanding of data governance and compliance

Data Science Lead Responsibilities for your resume and career include:

• Developing data models, algorithms, and software to analyze large datasets
• Interpreting and presenting data insights to stakeholders and business leaders
• Developing data-driven solutions to solve business problems
• Working with data engineers to design and implement data pipelines
• Developing and maintaining data warehouses and ETL processes
• Ensuring data security and privacy
• Working with cloud computing platforms
• Ensuring data governance and compliance

Data Science Lead Experience for your resume and career include:

• Proven experience in data analysis and machine learning
• Experience in developing data models, algorithms, and software
• Experience in data engineering and data warehousing
• Experience in data security and privacy
• Experience in cloud computing platforms
• Experience in data governance and compliance

Data Science Lead Qualifications for your resume and career include:

• Bachelor’s degree in mathematics, statistics, computer science, or related field
• Master’s degree in data science or related field
• Professional certifications in data science or related field
• 5+ years of experience in data analysis and machine learning

Data Science Lead Educations for your resume and career include:

• Bachelor’s degree in mathematics, statistics, computer science, or related field
• Master’s degree in data science or related field
• Professional certifications in data science or related field
What tools help Data Science Lead work better?
• Data visualization tools such as Tableau, Power BI, and Qlik
• Machine learning frameworks such as TensorFlow and Scikit-Learn
• Programming languages such as Python, R, and SQL
• Cloud computing platforms such as AWS, Azure, and GCP
• Data warehousing and ETL tools such as Apache Spark and Hadoop
Good tips to help Data Science Lead do more effectively?
• Stay up to date with the latest data science trends and technologies.
• Develop a strong understanding of the business domain and the data.
• Collaborate with other teams to ensure data accuracy and integrity.
• Utilize data visualization tools to communicate data insights.
• Automate data pipelines and processes to improve efficiency.
• Monitor data security and privacy to ensure compliance.
Common Data Science Lead interview questions?
• What experience do you have in data analysis and machine learning?
• How have you used data visualization tools to communicate data insights?
• What techniques have you used to develop data models, algorithms, and software?
• How have you worked with data engineers to design and implement data pipelines?
• What experience do you have in data security and privacy?
• How have you ensured data governance and compliance?