We are looking to hire a highly creative data scientist to address data analytics challenges in our organization, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested parties. To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics and be proficient in writing algorithms. Top candidates will be persistent and have excellent analytical and problem-solving skills. Data Scientist Responsibilities:
Having meetings with team members regarding projects.
Collecting and interpreting data.
Automating and integrating processes.
Researching solutions to overcome data analytics challenges.
Developing complex mathematical models that integrate business rules and requirements.
Creating machine learning models.
Communicating and meeting with engineers, IT teams, and other interested parties.
Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders.
Data Scientist Requirements:
A MSc or PhD degree in applied mathematics or statistics.
5+ years of industry experience.
Advanced coursework in machine learning and programming.
Experience using data visualization tools.
Experience with data querying languages, and statistical or mathematical software.
Proficient in writing algorithms, and knowing when to apply them.
Excellent understanding of statistics, multivariable calculus, and linear algebra.
Outstanding communication skills.
Job Types: Full-time, Casual, Apprenticeship Salary: $5,241.00-$6,235.00 per month Benefits:
Company events
Dental care
Employee assistance program
Extended health care
On-site gym
On-site parking
Paid time off
Profit sharing
RRSP match
Tuition reimbursement
Vision care
Work from home
Schedule:
Evening shift
Monday to Friday
Morning shift
Night shift
Supplemental pay types:
Bonus pay
Commission pay
Overtime pay
Signing bonus
Tips
Ability to commute/relocate:
London, ON: reliably commute or plan to relocate before starting work (required)
Experience:
Machine learning (required)
Work Location: In person
Beware of fraud agents! do not pay money to get a job
MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.