Long View Systems

Machine Learning Engineer/Data Scientist

Long View Systems

contract

Posted on:

Location Type: Remote

Location: Canada

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

AzurePythonSparkSQL

About the role

  • Build reproducible experiments and models (classification, regression, forecasting, NLP/LLMs) using Python and Azure ML/Databricks, document assumptions and limitations.
  • Engineer and select features; perform rigorous validation (cross‑validation, leakage checks), bias/variance trade‑off, and error analysis; apply Responsible AI practices.
  • Partner with ML Engineers for operational models with CI/CD, experiment tracking (ML flow), model registries, and online/offline evaluation pipelines.
  • Design and evaluate GenAI use cases when relevant (prompt engineering, evaluation harnesses, RAG with Azure AI Search, grounded generation, safety testing).
  • Communicate results and trade‑offs to non‑technical stakeholders; create compelling visuals and narratives; facilitate decisions that balance accuracy, cost, and operational risk.
  • Architect and implement ML platforms and pipelines in Azure (Azure Machine Learning, Azure Databricks, Azure Synapse/Microsoft Fabric, Azure Data Lake Storage, Event/Service Bus).
  • Participate in discovery workshops, solution estimation, Statements of Work inputs, and stakeholder demos; produce clear design docs, runbooks, and handover materials.

Requirements

  • A minimum of 5-6 years in applied data science/analytics with shipped models impacting business KPIs.
  • Experience with Python, statistical modeling, experiment design, and ML techniques (tree‑based methods, GLMs, time‑series, causal inference basics).
  • Experience with Azure ML, Databricks/Spark, SQL, and data wrangling at scale; familiarity with Fabric/Synapse data pipelines.
  • Strong MLOps collaboration (MLflow, model lifecycle, monitoring/alerts, data quality checks such as Great Expectations equivalent patterns).
  • Exceptional customer engagement, interpersonal, stakeholder facilitation, presentation and overall communication skills
  • Consulting experience.
  • Good understanding of ITIL Incident Management
  • Excellent problem‑solving and multitasking skills.
Benefits
  • Contribute to various government audits and special programs that Long View participates in every year
  • Attend a quarterly Career Life Planning session with your Team Lead or Manager to discuss your interests, training opportunities, your utilization, and other exciting topics
  • Carry a mobile phone for client and / or for Long View Systems support

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythonstatistical modelingexperiment designclassificationregressionforecastingNLPtree-based methodsGLMstime-series
Soft skills
customer engagementinterpersonal skillsstakeholder facilitationpresentation skillscommunication skillsproblem-solvingmultitasking