Data Scientist, Business Intelligence, Reporting

Job not on LinkedIn

🕒 3 days ago

🇨🇦 Canada – Remote

💵 $70k - $85k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📚 Business Intelligence Analyst

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Circular Materials

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Circular Materials is a national not-for-profit producer responsibility organization in Canada that builds and manages recycling systems under extended producer responsibility (EPR). It partners with producers, regulators and service providers to design and implement recycling programs, run supply chain procurement and contracts, provide regulatory reporting and analytics, support producer onboarding and fee-setting, operate IT platforms and financial services, and deliver promotion and education to advance the circular economy and increase material recovery across provinces.

📋 Description

• Scope problems with the Manager and own the build, validation, and delivery of solutions • Design and implement supervised learning models for classification and regression, including feature engineering, selection, and tuning • Apply clustering, segmentation, anomaly detection, and language models to business problems • Support and extend time series forecasting work • Design sampling approaches, experiments, and hypothesis tests to evaluate business questions and quantify impact • Develop production-quality reusable Python code and frameworks for data preparation, model training, and evaluation • Develop data models supporting analytics and internal products • Perform validation and monitoring, including baselines, backtesting, error metrics, and drift detection • Document work and maintain version control for reproducibility, auditing, and extension • Collaborate with Data Engineering and IT Infrastructure on data access, deployment, and production pipelines • Source data from warehouse tables, enterprise systems, APIs, flat files, Excel workbooks, and offline sources • Produce ad-hoc and recurring analysis for business questions • Translate analytical findings into metrics and reporting used by business teams • Turn stakeholder questions into analytical problems and present insights through storytelling, visualization, and recommendations • Support handover of delivered solutions through documentation and walkthroughs • Work with Data Governance to improve data quality and definitions • Prototype methods to improve efficiency, accuracy, or decision quality • Run experiments with predefined success criteria and report results • Stay current with statistical, machine learning, and AI methods and assess practical fit

🎯 Requirements

• Residency in Canada • Bachelor’s degree in Computer Science, Data Science, Statistics, Economics or a related quantitative field • Minimum of 2 years of experience in statistical analysis, data science, or advanced analytics • Proficient in SQL, Python, and Git for analytics, statistical modeling, and machine learning • Experience building, validating, and diagnosing supervised and unsupervised learning models, including classification, regression, and clustering • Solid understanding of statistical inference, hypothesis testing, and experimental design • Hands-on experience applying GenAI or LLMs to practical problems • Exposure to time series forecasting methods • Experience working with cloud data warehouses and BI platforms • Experience documenting and structuring analytical work for reproducibility and maintenance • Exceptional analytical and critical thinking abilities • Strong communication skills with ability to explain complex concepts to diverse audiences • High attention to detail and commitment to analytical accuracy • Ability to manage multiple projects independently • Ability to translate business needs into analytical solutions • Extra or flexible hours may be required on occasion • Occasional in-person meetings may be required • Assets: AWS Redshift; Power BI, Tableau, or Looker; ERP source data, particularly SAP; recycling industry or regulated/reporting-heavy environments; Agile and sprint development experience

🏖️ Benefits

• Remote work from a home office environment • Full-time salary-paid position • Occasional flexible hours • Reasonable accommodation during recruitment and/or assessment processes