Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically backed natural bone - loss solution. Turning large datasets into strategies that improve efficiency, sales, and profitability.
About the role
- Data Scientist building predictive weather models and commercial data products for Pelmorex, a weather intelligence company. Developing scalable machine learning solutions for B2B forecasting, advertising, and enterprise decision-making.
Responsibilities
- Design, train, and deploy machine learning and spatio-temporal models integrating weather feeds with client sales data
- Predict demand, optimize forecasts, and quantify operational risk
- Conduct end-to-end exploratory analysis on complex meteorological datasets
- Translate probabilistic trends into strategic recommendations
- Partner with Sales, Marketing, and Customer Support to build analytics solutions for B2B initiatives
- Use distributed frameworks such as PySpark, Dask, and Ray and modern ML stacks to improve model speed, scale inference pipelines, and lower compute costs
- Own the full model lifecycle, including testing, deployment, and ongoing monitoring
- Document model architectures, data lineage, and decision logic
- Collaborate with Data Engineers, Product Managers, and Revenue leaders
- Embed predictive algorithms into live APIs and deliver scalable data products for enterprise problems
- Contribute occasionally to B2C and Adtech initiatives
Requirements
- Degree in a STEM discipline (Data Science, Statistics, Computer Science, or a related quantitative field); a Master’s or PhD is preferred but not required
- 3+ years of data science experience specializing in B2B environments
- Expertise in spatio-temporal modeling, time-series forecasting, and weather data intelligence
- High proficiency in Google BigQuery, including SQL, window functions, query optimization, and large-scale data manipulation
- Advanced expertise in Python for statistical modeling, data science, and graphical visualization
- Hands-on experience with NumPy, SciPy, Scikit-learn, and TensorFlow or PyTorch
- Experience with distributed computing frameworks such as Apache Spark
- Strong communication skills and ability to explain complex ideas to non-technical audiences
- Proven experience developing and deploying deep learning models is nice to have
- Familiarity with deploying LLMs or RAG pipelines is nice to have
- Experience scaling models across large datasets using distributed processing frameworks is nice to have
- Eligibility to work in Canada
- Ability to work in a hybrid model at the Oakville location
Benefits
- Flexible Hybrid Work Environment
- Retirement Savings Matching Plan (RRSP)
- Personal Spending Account
- Up to $500 to spend on anything related to physical, mental or financial well-being, in addition to the Health Care Spending Account
- Summer Hours
- 17 Paid Days Off, in addition to 13 Personal Days
- Extra day off during the month of your birthday
- IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team
- Course Reimbursement Program
- Open and transparent communication, including All Hands Meetings with the CEO
- Pelmorex Learning Academy
- Virtual counseling sessions
- Frequent employee pulse surveys
- Free online doctor visits with Maple Online Healthcare
- Anonymous reporting platform
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