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Data Scientist

Calgary Homeless Foundation
Calgary, CAN
Mid · 5+ years experience
Onsite
Discovered 1 weeks ago
azuredatabrickspythonsql

Full Job Posting

Education and Experience

  • Education
  • A graduate degree in Data Science, Statistics, Biostatistics, Economics, Computer Science, Operations Research, quantitative social science or a related quantitative discipline is preferred. An equivalent combination of education and substantial applied data-science experience will be considered.
  • 5+ years of experience applying advanced statistical and data-science methods to complex real-world datasets.
  • Demonstrated experience working with longitudinal, person-level, administrative or similarly complex datasets.
  • Demonstrated experience developing and validating statistical, forecasting, segmentation and/or machine-learning models.
  • Experience applying quantitative methods to understand outcomes, programs, policies or interventions using observational data.
  • Demonstrated ability to translate complex or ambiguous policy, operational or business questions into rigorous analytical approaches.
  • Experience assessing the limitations, biases and suitability of real-world data for statistical modelling and decision-making.
  • Demonstrated ability to communicate complex analytical findings, assumptions and limitations to non-technical decision-makers.
  • Experience working with health, social-service, government, population-level or other sensitive administrative data is an asset.
  • Experience working with homelessness or housing data is an asset but is not required.
  • Technical Capabilities
  • Python and/or R;
  • advanced SQL;
  • Statistical modelling and inference;
  • machine learning and predictive modelling;
  • forecasting and time-series analysis;
  • longitudinal and cohort analysis;
  • model validation and performance assessment;
  • reproducible analytical workflows and version control; and
  • communicating complex quantitative analysis through effective visualization and presentation.
  • Experience with Azure, Databricks, geospatial analytics, record linkage/entity resolution or cloud-based analytical environments is an asse
  • Core Competency Requirements
  • Analytical Judgement: Selects methods based on the question, data and intended use rather than applying techniques because they are available. Recognizes when the available evidence does not support a requested conclusion.
  • Problem Formulation: Can take complex or ambiguous system questions and translate them into clearly defined analytical problems that can be investigated with available data.
  • Critical Thinking: Challenges assumptions, tests alternative explanations and considers data limitations before drawing conclusions.
  • Communication: Explains complex methods, findings, uncertainty and limitations clearly to technical and non-technical audiences.
  • Collaboration: Works effectively with Data Analysts, Data Developers, System Planning, HMIS and other teams while bringing a distinct advanced-analytics perspective.
  • Responsible Use of Data: Demonstrates sound judgement when working with sensitive person-level data and understands the potential consequences of applying statistical or predictive methods to vulnerable populations.
  • Initiative & Learning: Independently investigates complex problems, stays current with relevant analytical methods and identifies where new approaches can create meaningful value for CHF.
  • General Competency Requirements
  • Regularly sharing our Purpose and Ambition and making decisions that move us toward
  • Following through on my commitments to earn the trust of my colleagues and community partners
  • Identifying obstacles, admitting my mistakes, and taking ownership of solutions
  • Regularly seeking new information and leveraging data to inform my solutions and decisions
  • Treating mistakes as learning opportunities and focusing myself & others on improving future results
  • Considering how I may have contributed to problems and regularly seeking feedback to discover how I can improve
  • Accepting ambiguity and taking action to move us in the direction of our goals without waiting for perfect information
  • Meeting regularly with my key internal and external stakeholders to ensure they have what they need from me to succeed
  • Eliminating organizational constraints that hold people back
  • Proactively collaborating with others and incorporating their input into solutions
  • Respecting the unique strengths and agency of others by encouraging them to propose solutions and make decisions
  • Having the courage to share difficult perspectives directly, respectfully, and in a timely manner, and encouraging others to do the same
  • Being willing to change my perspective when presented with new information

Experience

  • The successful candidate will bring strong capability in:
  • The ideal candidate will be expected to demonstrate the following core competencies:
  • The ideal candidate will be expected to demonstrate and grow the following competencies:
  • Taking Accountability for Guiding the Fight Against Homelessness by:
  • Fostering a Growth Mindset by:
  • Empowering Others to Succeed by:
  • Articulating and agreeing upon clear expectations and desired results
  • Collaborating for Greater Impact by:

Preferred Qualifications

  • A graduate degree in Data Science, Statistics, Biostatistics, Economics, Computer Science, Operations Research, quantitative social science or a related quantitative discipline is preferred. An equivalent combination of education and substantial applied data-science experience will be considered.
  • Articulating and agreeing upon clear expectations and desired results

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