Data Science Researcher Jobs

2. Skills Review Survey: Complete a 20-minute assessment on Machine Learning and Python proficiency.

3. Initial Interview: Have a discussion with our Director of AI to discuss your goals and skills.

2. Mentorship: Collaborate closely with an industry expert mentor who will provide personalized 1-on-1 guidance and support.

1. Application: Explain why you are the ideal candidate for this opportunity.

Excellent written and oral communication, superior presentation, project management, and interpersonal skills

Manage the effective delivery of multiple parallel work streams leveraging cross-functional teams.

Agile delivery and data engineering experience, with the use of tools such as Jira

Collaborate with stakeholders to identify and prioritize data needs and share insights and best practices.

Lead the evolution of the Business Intelligence & Data Science Platforms, ensuring reliability and consistent availability of systems.

A collaborative team player who builds trusting relationships with an extensive network of stakeholders and cross-functional teams

·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

Experience with open source languages (eg. Python) and equivalent tools for distributed computing (PySpark)

Experience deploying solutions in a modern cloud-based architecture

Experience managing the work of team members and 3rd party resource vendors

Experience presenting insights and influencing decisions of senior non-technical stakeholders

Accelerate & simplify access to relevant data, information and insights

Build in-house, leading-edge data, information, insights & analytics capability

4+ years working in the field of digital analytics in an advertising agency or management consultancy

Basic knowledge of cloud computing concepts and experience in Google Cloud

Highly analytical. Strong numerical skills and attention to detail

Intermediate HTML, CSS, and JavaScript experience

Experience in server-side tagging and GA4 implementation

Understanding of data warehousing and ETL techniques (preferably through Adverity)

Strong communication skills and ability to work well with colleagues across multiple regions

Research statistical techniques such as Machine Learning and NLP to extract value from data

Analyze large data sets using advanced statistical methods to identify trading opportunities

Help to develop tools to solve complex data related problems throughout the firm.

Primary focus throughout the day is on researching new techniques and exploring datasets

Discuss and present research results with other researchers

Knowledge of database design and experience working with complex data structures

Group benefits, including health and dental, for full-time employees

Career Development & Education Grant

Lead projects focused on advancing the analytic capabilities of the organization

Minimum of 5 years’ experience in healthcare analytics is preferred with a tracker record of delivering results

Strong coaching and mentoring skills

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

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

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.

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