Data Science the Senior Data Scientist
2 weeks ago
This is a contract position for a year to cover the maternity leave. Please let me know if you would like to connect further on this or meet with the hiring manager.
It's a Full-time contract role with benefits.
You should have:
- Degree in Computer Science, Math, or other related areas.
- At least 5 years of experience as a Data Scientist or similar role using a wide range of research methods, including qualitative and quantitative data processing and statistical testing.
- Proven leadership abilities.
- Experience with regression analysis, including linear regression, logistic regression, multivariate regression, and time-series analysis (e.g., ARIMA, seasonal decomposition, exponential smoothing).
- Experience with predictive modelling (e.g., random forests, support vector machines).
- Familiarity with validation techniques, such as cross-validation, confusion matrices, ROC curves, and precision-recall analysis.
- Proficiency in statistical programming languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience with data visualization using Python libraries.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, K-means, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Strong problem-solving skills.
- Excellent communication and collaboration skills.
- Position Reports to: Senior Director, Product & Applied Research.
In this role, you will:
- Lead and mentor a team of data analysts, data scientists, and researchers.
- Work with stakeholders to understand their data needs and build predictive models and machine learning algorithms.
- Identify alternate options for generating insights beyond basic statistics, making recommendations to teams.
- Generate information and insights by leveraging large sets of structured and unstructured data to identify trends and patterns.
- Create visualizations of data and prepare reports for executives, project teams, and external stakeholders.
- Process, clean, validate, analyze, and interpret complex data sets.
- Communicate complex results and methodologies to technical and non-technical stakeholders.
- Identify relevant data sources to meet business needs.
Benefits:
- We offer a hybrid work environment that gives you the flexibility to work in our Guelph office, remotely, or a combination of both.
- Your team is passionate about technology and encouraged to explore new ways of working.
- You’ll start off with 22 vacation days, as well as paid company breaks in the summer and during the holiday season.
- We offer a corporate pension plan to help you prepare for your next stage of life.
- We provide generous benefits that include vision and dental care, extended healthcare, life insurance, and more.
- Because we understand the importance of lifelong learning, we offer a generous professional development allowance, as well as other initiatives to help you ‘skill up’.
- We support several local charities and offer paid time off to volunteer in your community.
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