Company: Canada Life
Location: Winnipeg, MB – Toronto, ON
Expected salary: $68700 – 126000 per year
Job date: Sat, 04 Jan 2025 07:30:14 GMT
Job description: Permanent Full Time–We are looking for a Senior Analyst, Data and Analytics with strong expertise in AI engineering, machine-learning, data mining, and information retrieval to design, prototype and build the next generation analytics, machine learning and AI services.Canada Life is one of the top 3 Insurance carriers in Canada who is part of a strong and mature global financial company. Canada Life has embarked on a transformation that is changing the way we work and how we help our customers. You will be part of the core with a strong commitment to transform our business with full leverage technology, data and analytics. You will work along side with a very supportive senior leadership and great culture. You will also work closely with our multi-functional team of Data Scientists, Data Analysts, Data Engineers, Business Analysts, Solution Architects, and Product Owners.What you’ll do:Partner with the team member to shape the vision for Data Science at the business unit by implementing and utilizing best practices and technologies.Create and/or oversee predictive analytics to test the business unit’s direction and decision making.Leverage advanced techniques to develop and deploy AI solution for various business purposes. Deploy and disseminate tools, techniques and products that extend our capabilities and deliver new business value.Develop a deep understanding of current and potential customers and translating that understanding into actionable insights that drive business performance.Provide expertise in data science, machine learning, artificial intelligence & software engineering.Lead the design, development, and maintenance of AI systems and applications using machine learning techniques, neural networks, and deep learning algorithms on the Microsoft Azure platform.Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to identify and solve complex problems, providing expert guidance and oversight.Conduct research and stay up-to-date on emerging trends and technologies in AI and machine learning, particularly in relation to the Azure ecosystem, to ensure the company remains at the forefront of innovation.Develop and implement advanced algorithms to improve the efficiency and performance of our AI systems, ensuring seamless integration with Azure services.Analyze and process large datasets to extract meaningful insights and patterns, leveraging Azure and Databricks’ processing capabilities.Oversee model training, validation, and testing to ensure the accuracy and reliability of our AI systems, using Azure Machine Learning and other relevant API, SDK and services.Design and implement correct endpoints, ad groups, and service accounts within the Azure environment to ensure secure and efficient access to AI services.Lead the implementation of end-to-end solutions based on the suggested architecture provided by the solution architect.Participate in code reviews and contribute to the development of best practices for AI engineering.Partner with internal senior leaders to ensure these business initiatives are executed with optimal chance of success and adoption.Advocate for Data and Analytics and champion change, driving adoption across business units and functions.Lead the delivery of priority initiatives each year, acting as a SME.Develop and own the data strategy and plan for the Business UnitCommunicate complex technical concepts and results to both technical and non-technical stakeholders, highlighting the benefits and potential of Azure-based AI solutions.Define data foundations, architecture, governance, and data management practices for the Business UnitIdentify business problems, that if remedied, will return significant value using data in partnership with data owners and advisors.What you bring:Ph.D/MS in Data Science, Computer Science, Statistics, Applied Math, or any related discipline.2+ years of experience in Data Science/Analytics, EngineeringExperience Python & SQL is required. Background in other programming is beneficial.Experience in different AI applications, e.g. NLP, marketing, image recognition, etc.Experience working with large data sets, simulation/optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)In-depth knowledge of Microsoft Azure platform, including experience with Azure Machine Learning, Azure Cognitive Services, and other relevant AI services.Familiarity with service endpoints, ad groups, and service accounts to ensure a secure and efficient working environment.Ability to implement end-to-end solutions based on a provided architecture, leveraging Azure’s wide range of services and capabilities.Experience working in startup environment or organizations with an agile culture.Professional attitude and service orientation; superb team playerStrong written and verbal communication skills along with strong desire to work in cross-functional teams.Strong problem-solving skills to mature data governance, data management, and data architecture across the Business UnitAble to build a sense of trust and rapport that creates a comfortable & effective workplaceAttitude to thrive in a fun, fast-paced environment.Reliability Status security clearance – this is a personnel security status that is required before an employee can gain access to Protected B information, assets or work sites as outlined by the website.Given the size and scope of our organization, we have the flexibility for this position to be located in the following head office locations: Toronto, Winnipeg.–The base salary for this position is between $68,700.00- $126,000.00 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.Be your best at Canada Life- Apply today!Being a part of Canada Life means you have a voice. This is a place where your unique background, perspectives and talents are valued, and shape our future success.You can be your best here. You’re part of a diverse and inclusive workplace where your career and well-being are championed. You’ll have the opportunity to excel in your way, finding new and better ways to deliver exceptional customer and advisor experiences.Together, as part of a great team, you’ll deliver on our shared purpose to improve the well-being of Canadians. It’s our driving force. Become part of a strong and successful company that’s trusted by millions of Canadians to do the right thing.Canada Life serves the financial security needs of more than 13 million people across Canada, with additional operations in Europe and the United States. As members of the Power Financial Corporation group of companies, we’re one of Canada’s leading insurers with interests in life insurance, health insurance, investment and retirement savings. We offer a broad portfolio of financial and benefit plan solutions for individuals, families, businesses and organizations.We are committed to providing an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of the communities in which we live, and to creating an environment where every employee has the opportunity to reach their potential.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Canada Life policies. To request a reasonable accommodation in the application process, contact talentacquisitioncanada@canadalife.com.Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.#LI-HybridRequisition ID: 2553Category: Digital TechnologyLocation:Toronto, ON, CA Winnipeg, MB, CADate: Jan 2, 2025If you are not finding suitable opportunities now, please click below to join our talent community!
Canada Life is seeking a Senior Analyst, Data and Analytics with expertise in AI engineering, machine learning, data mining, and information retrieval to build next-generation analytics and AI services. The role involves partnering with team members to shape the vision for Data Science, creating predictive analytics, developing AI solutions, and collaborating with cross-functional teams. The ideal candidate will have a Ph.D/MS in Data Science or related discipline, experience with Python and SQL, knowledge of Microsoft Azure platform, and experience working with large datasets. The position offers a competitive salary and is located in Toronto or Winnipeg. Canada Life is committed to providing an inclusive, accessible environment for employees and customers.
Tali AI – Senior Data Scientist – Toronto, ON
Company: Tali AI
Location: Toronto, ON
Expected salary:
Job date: Thu, 19 Dec 2024 06:44:24 GMT
Job description: Clinicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements, often aggravated by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the “great resignation of healthcare”.Tali AI, one of the fastest growing AI companies in Canada, is dedicated to tackling the issue of physician burnout through the development of the leading AI Scribe for accurate clinical notes and documentation, designed specifically for Clinicians. By combining AI Scribe, which effortlessly captures and summarizes patient visits, Medical Dictation for accurate voice-to-text processing, and Medical Search for efficient information retrieval, we are helping thousands of clinicians reduce documentation time by over 30%, allowing them to focus more on patient care.We’re looking for a Senior Data Scientist to play a critical role in data-driven decision-making as we continue to transform the healthcare system. You will work closely with cross-functional teams to develop advanced models and algorithms that solve complex problems in healthcare. If you’d like to help us continue to evolve Tali – Canada’s leading medical AI scribe, this is an opportunity to make a meaningful impact on healthcare by saving Clinicians time and reducing the administrative burden. Letting Clinicians focus on their patients, not paperwork.Who You Are:
- You have at least 8 years of industrial experience in NLP and/or Speech Recognition.
- You have developed, trained and deployed user-facing ML models in production.
- You have a strong background experience in data science, statistical modelling, machine learning, and data analysis.
- You’re proficient in programming languages such as Python.
- You have experience with data manipulation and analysis tools such as SQL, Pandas, and NumPy.
- You have a strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- BONUS: You’re familiar with cloud platforms (e.g., Vertex, SageMaker).
What You’ll Do:
- Develop, test, and implement advanced statistical models, machine learning algorithms, and predictive analytics to solve business problems.
- Work closely with Product Managers, Engineers, and other stakeholders to understand business needs and translate them into problems that need solving.
- Lead and mentor Data Scientists and Data Analysts, providing technical guidance, support, and mentorship.
- Design and implement scalable solutions for deploying models in production environments.
- Stay up-to-date with the latest data science techniques and technologies, and apply them to improve existing processes and solutions.
Recruitment ProcessHere’s what to expect from the recruitment process:
- Selected candidates will be contacted for an initial 30-minute interview
- Team Interview (45 min)
- Take Home Assessment
- Hiring Manager Interview (45 min)
- Decision Stage
Working at Tali:Our core values:
- Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day.
- Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously.
- Innovation: we’re all about innovation and cutting edge technology; we don’t shy away from a challenge.
Perks and Benefits:
- Comprehensive health and wellness benefits package from day one
- Competitive vacation and company-wide holiday between Dec 25 – Jan 1
- Half day Fridays (35-hour work week)
- Learning & development support
- Quarterly socials & company outings
- Fully remote work
We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact the Human Resources team at .Powered by JazzHR
Senior Data Scientist – NearSource Technologies – Toronto, ON
Company: NearSource Technologies
Location: Toronto, ON
Expected salary:
Job date: Mon, 23 Dec 2024 23:22:13 GMT
Job description: We are hiring a Senior Data Scientist (Remote) to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the team.Job Responsibilities
- Solve Complex Problems: Analyze and interpret customer behavior to drive product adoption and improve user engagement.
- Apply Advanced Analytics: Leverage quantitative analysis, data mining, and machine learning to build models that guide product strategy and priorities.
- Build Machine Learning Pipelines: Design and implement ML pipelines that enable data-driven decision-making.
- Cross-Functional Collaboration: Work closely with Product, Marketing, Engineering, and Design teams to ensure impactful, data-informed decisions.
- Lead and Mentor: Guide and support team members in developing ML-powered features for our Digital Customer Platform.
Minimum Qualifications
- Educational Background: MS or PhD in a quantitative field such as Mathematics, Statistics, or Computer Science.
- Experience: 5+ years of experience in designing and deploying machine learning solutions.
- ML Expertise: Proficiency in Large Language Models (e.g., RAG, Generative AI) and Natural Language Processing (NLP).
- Technical Skills: Strong command of SQL/NoSQL databases, big data platforms (e.g., Hadoop, Spark), and programming languages (Python preferred).
- Data Science Tools: Experience with tools like Pandas, Jupyter, TensorFlow, and machine learning techniques.
- Cloud & MLOps: Hands-on experience with cloud platforms (AWS) and familiarity with MLOps best practices.
APPLY NOW!NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.
Summary: NearSource Technologies is hiring a Senior Data Scientist (Remote) to drive data-driven decision-making for their digital platform. Responsibilities include solving complex problems, applying advanced analytics, building machine learning pipelines, collaborating cross-functionally, and leading and mentoring team members. Minimum qualifications include an MS or PhD in a quantitative field, 5+ years of experience in machine learning, proficiency in large language models and NLP, technical skills in SQL/NoSQL databases and Python, experience with data science tools and cloud platforms, and familiarity with MLOps best practices. NearSource Technologies values diversity and encourages all qualified applicants to apply.
Senior Data Scientist (Remote) – Parent Organization – Toronto, ON
Company: Parent Organization
Location: Toronto, ON
Expected salary:
Job date: Sat, 21 Dec 2024 23:00:44 GMT
Job description: We’re hiring a Senior Data Scientist (Remote) to join our team and drive data-driven decision-making across our digital platform. Apply now to be part of the team.Job Responsibilities
- Solve Complex Problems: Analyze and interpret customer behavior to drive product adoption and improve user engagement.
- Apply Advanced Analytics: Leverage quantitative analysis, data mining, and machine learning to build models that guide product strategy and priorities.
- Build Machine Learning Pipelines: Design and implement ML pipelines that enable data-driven decision-making.
- Cross-Functional Collaboration: Work closely with Product, Marketing, Engineering, and Design teams to ensure impactful, data-informed decisions.
- Lead and Mentor: Guide and support team members in developing ML-powered features for our Digital Customer Platform.
Minimum Qualifications
- Educational Background: MS or PhD in a quantitative field such as Mathematics, Statistics, or Computer Science.
- Experience: 5+ years of experience in designing and deploying machine learning solutions.
- ML Expertise: Proficiency in Large Language Models (e.g., RAG, Generative AI) and Natural Language Processing (NLP).
- Technical Skills: Strong command of SQL/NoSQL databases, big data platforms (e.g., Hadoop, Spark), and programming languages (Python preferred).
- Data Science Tools: Experience with tools like Pandas, Jupyter, TensorFlow, and machine learning techniques.
- Cloud & MLOps: Hands-on experience with cloud platforms (AWS) and familiarity with MLOps best practices.
APPLY NOW!NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as protected veterans.
The company is hiring a Senior Data Scientist (Remote) to drive data-driven decision-making across their digital platform. They are looking for someone to analyze customer behavior, leverage quantitative analysis and machine learning, design and implement ML pipelines, collaborate with other teams, and lead and mentor team members. The requirements include a MS or PhD in a quantitative field, 5+ years of experience in machine learning, expertise in Large Language Models and NLP, proficiency in SQL/NoSQL databases and Python, experience with tools like Pandas and TensorFlow, and hands-on experience with cloud platforms. The company values diversity and equal opportunity. Applicants are encouraged to apply now.
Data Scientist, Advanced Analytics – Marketing Data Science – Universal Parks & Resorts – Orlando, FL
Company: Universal Parks & Resorts
Location: Orlando, FL
Expected salary:
Job date: Sun, 22 Dec 2024 05:36:40 GMT
Job description: The Digital Marketing & Analytics Business Intelligence Analyst is responsible for leading forecasting and market testing initiatives to optimize marketing campaigns. This role involves utilizing CRM systems for executing campaigns, as well as conducting consumer research to inform strategic decision-making. The Analyst will also be involved in creating comprehensive business intelligence reports to track the success of marketing initiatives. Candidates will learn more about specific responsibilities during the recruitment process, but overall, this role involves conducting advanced analysis to drive effective marketing strategies.
Scotiabank – Velocity – Data Scientist Internship/Co-Op – Summer 2025 – Toronto, ON
Company: Scotiabank
Location: Toronto, ON
Expected salary:
Job date: Thu, 19 Dec 2024 07:46:28 GMT
Job description: Requisition ID: 212904Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Term: May 2025 – August 2025Application Deadline: January 17th, 2025Ready to Start your Journey with Scotiabank? Apply Now!For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.Please follow the steps below to successfully apply:Step 1: Complete your PLUM Profile and save as a screenshot.Step 2: Complete a short one-way video interview .Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you’re ready, to begin the assessment.Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!Note: The one-way video interview & codility assessment for all our Velocity Technology Summer 2025 Internship applications are the same. You only need to complete this one!*To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.There’s no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!Is this role right for you? In this role, you will:Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutionsLeverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modelingCollaborate with data engineering, software developer, and other analytics teams to build analytical dataset and modelCreate and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changesPrepare detailed documentation to outline data sources, models, and algorithms used and developedPresent results to business line stakeholders and help implement real data-driven changesWork on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomesExperiment & learn!Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:You are currently enrolled in post-secondary education.You love to learn and envision yourself working for an international organization that heavily invests in your future.You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.You have knowledge/experience in:Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)Big Data/Cloud ecosystem (e.g., GCP)Experimental design, statistical analysis, machine learningPython programmingCommon machine learning libraries in Python, PySpark (scikit-learn, xgboost)UNIX tools and shell scriptingSQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)Visualization tools like PowerBIKubernetesGit Workflows (Pull Request, Code Review, Branching)What’s in it for you?You’ll be part of a diverse, collaborative, innovative, and high-performing team.In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.Location(s): Canada : Ontario : TorontoScotiabank is a leading bank in the Americas. Guided by our purpose: “for every future”, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
Scotiabank – Velocity – Data Scientist Internship/Co-Op – Summer 2025 – Toronto, ON
Company: Scotiabank
Location: Toronto, ON
Expected salary:
Job date: Wed, 18 Dec 2024 23:59:04 GMT
Job description: Requisition ID: 212904Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.Term: May 2025 – August 2025Application Deadline: January 17th, 2025Ready to Start your Journey with Scotiabank? Apply Now!For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.Please follow the steps below to successfully apply:Step 1: Complete your PLUM Profile and save as a screenshot.Step 2: Complete a short one-way video interview .Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you’re ready, to begin the assessment.Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!Note: The one-way video interview & codility assessment for all our Velocity Technology Summer 2025 Internship applications are the same. You only need to complete this one!*To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.There’s no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!Is this role right for you? In this role, you will:Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutionsLeverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modelingCollaborate with data engineering, software developer, and other analytics teams to build analytical dataset and modelCreate and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changesPrepare detailed documentation to outline data sources, models, and algorithms used and developedPresent results to business line stakeholders and help implement real data-driven changesWork on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomesExperiment & learn!Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:You are currently enrolled in post-secondary education.You love to learn and envision yourself working for an international organization that heavily invests in your future.You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.You have knowledge/experience in:Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)Big Data/Cloud ecosystem (e.g., GCP)Experimental design, statistical analysis, machine learningPython programmingCommon machine learning libraries in Python, PySpark (scikit-learn, xgboost)UNIX tools and shell scriptingSQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)Visualization tools like PowerBIKubernetesGit Workflows (Pull Request, Code Review, Branching)What’s in it for you?You’ll be part of a diverse, collaborative, innovative, and high-performing team.In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.Location(s): Canada : Ontario : TorontoScotiabank is a leading bank in the Americas. Guided by our purpose: “for every future”, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
Huawei – Intern Research Scientist – AI Software Development (PhD) – Markham, ON
Company: Huawei
Location: Markham, ON
Expected salary:
Job date: Fri, 18 Oct 2024 00:05:59 GMT
Job description: Our team has an immediate internship opening for a Research Scientist.Responsibilities:
- Develop novel solutions and perform extensive evaluation of prototypes contributing to Huawei’s next-generation products, including but not limited to smartphones, smart watches, smart eyewear, laptops, tablets, TVs, and smart devices.
- Idea generation with research mentors, review literature and existing solutions of a challenging real-world research problem.
- Present research outcomes to internal and/or external audiences.
- Collaborate with researchers and product teams to implement research findings into products.
What you’ll bring to the team:
- Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field.
- Experience in digital signal processing fundamentals, such as time-frequency analysis, convolutions and filtering.
- Research and/or work experience in Machine Learning or Deep Learning.
- Experience with Deep Learning software for Python, e.g. PyTorch, HuggingFace, or TensorFlow.
- Experience with designing and overseeing human-subject experiments, particularly involving human-computer interaction.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ICASSP, INTERSPEECH, ICML, ICLR, NeurIPS, ACL, EMNLP, POPL, or similar is an asset.
#LI-HC1
Environmental Site Assessment Scientist / Project Manager – Parsons – Oakville, ON
Company: Parsons
Location: Oakville, ON
Expected salary:
Job date: Wed, 11 Dec 2024 23:47:32 GMT
Job description: Environmental Site Assessments and Remediation Project Manager to support our Environment and Energy (E&E) Team! In this role… $100K and/or as a project manager or a technical designer Strong understanding of environmental site assessment objectives…
Canadian Nuclear Laboratories – Data Scientist (12 Month Term) – Chalk River, ON
Company: Canadian Nuclear Laboratories
Location: Chalk River, ON
Expected salary:
Job date: Wed, 11 Dec 2024 08:18:51 GMT
Job description: Our Chalk River location is looking for a Data Scientist to support our Science and Technology Business Management Office. If you can see yourself in a role where you will provide AI/Machine learning expertise and data analytics support for research and development projects across multiple areas, such as nuclear safety and analysis, material research, nuclear forensics, and environmental monitoring, then apply today!What will you be doing!
- Contributing to the application and development of data analytics methods across diverse areas.
- Specific examples include statistical/machine learning methods for anomaly detection in nuclear data, evaluation of nuclear safety margins and their uncertainties, and time-series forecasting.
- Applying appropriate methodology when implementing studies, including processing data and performing statistical analysis, machine learning and/or computational modelling using software programs such as Python or R. Taking responsibility for the computational integrity and accuracy of the analysis.
- In collaboration with domain experts, developing new methods and technologies as an outcome of the research performed. learning and applying new machine learning methods, and writing and modifying computer programs in software such as R, MATLAB, Python, RAVEN, Dakota, etc.
- Interpreting and communicating results. Presenting on research will be delivered internally to CNL, at national and international venues/conferences, and to external customers. Work will be documented in internal CNL reports and published in peer reviewed journals.
- Contributing to the planning and execution of specific research tasks.
- Other duties as assigned by your manager.
What we are looking for:
- Education
- At minimum, a Bachelors (Honour) in Engineering or Science such as Machine Learning, Computer Science, or Applied Statistics from a university of recognized standing; or membership in an engineering or scientific professional organization authorized by statute to establish qualification for membership in that organization. A few years related engineering working experience.
- Experience
- Academic experience, such as thesis work, must be consistent with job requirements.
- Relevant industry experience is an asset.
- Experience with Unix.
- Experience in using high-performance computing resources is preferred.
- Knowledge, Skills & Abilities
- Proficient in building machine learning models, e.g. for anomaly detection, image analysis, time-series trend analysis, etc.
- Strong knowledge and proficiency in Python and associated packages for data processing, statistics and machine learning.
- Statistical skills including multivariate analysis, regression analysis, hypothesis testing, sampling theory and practice.
- Familiarity with another programming language, such as SQL, Python, or an object-oriented language, is preferred.
- Familiarity with parallelization techniques in the code is preferred.
- Security Clearance Eligibility Required
- Reliability Status which has a minimum requirement of 3-5 years of verifiable history in Canada, Australia, New Zealand, the United States and/or the United Kingdom. CNL implements security screening in accordance with the Treasury Board of Canada Secretariat’s “Standard on Security Screening” and the “Policy on Government Security.”
Why CNL?
Does working with a team across Canada to advance nuclear science and technology for a clean and secure world speak to you? We’re reinventing ourselves to be the pacesetters so we can lead the charge in solving the problems that matter, like building the next generation of clean nuclear and hydrogen energy solutions, developing new and better-targeted cancer treatments, and continuing to lead the world in environmental remediation.We offer a complete total rewards package:
- Paid time off (vacation, sick, floater & personal);
- Benefits effective day one, that’s right, no waiting period;
- Tuition support.
- and a pension!
Do Our Priorities Resonate with You?
- Clean energy for today and tomorrow.
- Restore and protect the Environment.
- Contribute to the health of Canadians.
Location:
CNL works with employees across Canada to enable a remote workforce where possible. This role requires occasional work at CNL’s Chalk River Laboratory site, permitting the employee to primarily work remotely, should they so desire. CNL employees who choose to work remotely the majority of the time are provided with the equipment required to be successful at their remote workplace (laptop, chair, monitor, etc.); however, they are not provided a dedicated onsite office. CNL’s Chalk River laboratory is nestled in the Ottawa Valley and affords our employees an area that is environmentally pristine with extensive forests, hills and numerous small lakes, all of which support a variety of wildlife typical to the southern edge of the . Many surrounding towns, such as Pembroke, Petawawa and Deep River, provide you with unparalleled outdoor adventures at your doorstep!CNL is committed to providing an atmosphere free from barriers that promotes equity, diversity and inclusion in achieving our mission. CNL welcomes and celebrates employees, stakeholders and partners of all racial, cultural, and ethnic identities. Read further on our DE&I Commitment.CNL also supports a workplace environment and a corporate culture that is built on our Core Values: Respect, Teamwork, Accountability, Safety, Integrity and Excellence which encourage equitable employment practices and career prospects inclusive of accommodations for all employees.CNL is committed to being an equal-opportunity employer. If you require accommodation measures during any phase of the hiring process, please indicate via our ATS when applying. All information received in relation to accommodation requests will be kept confidential.The Chalk River Laboratories site is located on the unceded and unsurrendered territory of the Algonquin Anishinaabe people. As an organization, CNL recognizes and appreciates their historic connection to this place. CNL also recognizes the contributions that First Nations, Métis, Inuit and other Indigenous Peoples have made, both in shaping and strengthening this community in particular, and this province and country as a whole.#LINKEDIN-REMOTE