Data Scientist

3 weeks ago

Edmonton, Canada Homeward Trust Edmonton Full time

**About Homeward Trust Edmonton**

Homeward Trust Edmonton (HTE) is a not-for-profit organization charged with ending homelessness in Edmonton. Our efforts are guided by community needs and priorities as outlined in A Place to Call Home: Edmonton’s Plan to Prevent and End Homelessness. Homeward Trust has a dynamic work environment, filled with high-energy, dedicated, and passionate people.

Homeward Trust coordinates and provides resources for local efforts that address homelessness and its impacts on individuals, families, and communities. We work with agencies, neighborhoods, mainstream systems, community members, and all orders of government in pursuit of this singular objective, grounded in the belief that we can and will end homelessness in Edmonton. Homeward Trust is proud that our community is recognized both nationally and internationally as a leader in this work.

Homeward Trust embraces the Housing First philosophy; prioritizing access to safe appropriate housing without pre-conditions, with supports required by the participant to remain in a home. Homeward Trust Edmonton’s programs involve housing (such as capital project funding, property management, and sourcing access to new or existing units for participant use) and supportive services to individuals in or seeking access to housing programs.

**Position Summary**

We are currently seeking an experienced Data Scientist to join our Data and Analytics team in a permanent, full-time position. The incumbent will be pivotal in managing and utilizing intricate data sets, with specific emphasis on SQL, Tableau, and our CRM (Efforts to Outcomes) system, to inform our strategies, yield actionable insights, and boost our effectiveness in combating homelessness.

**Duties & Responsibilities**
- **Data Architecture**: Set up and manage the architecture of our data, encompassing its collection, storage, transformation, and utilization. This also entails creating data models and schemas.
- **Data Quality**: Ensure the accuracy and integrity of our data by designing and implementing various data cleaning methods. Establish data governance guidelines to ensure quality and consistent usage of data.
- **Data Privacy and Security**: Establish and uphold data security protocols, safeguarding it from unauthorized access and ensuring compliance with relevant regulations.
- **Data Integration**: Merge data from disparate sources and provide a unified view for our users.
- **Data Warehousing**: Implement processes, technology, and resources needed to develop a centralized data warehouse system for reporting and data analysis.
- **Data Lifecycle Management**: Oversee the lifecycle of data from its creation and storage until it becomes obsolete and is consequently deleted.
- **Data Access**: Regulate access to data, ensuring sensitive information, such as client and personnel data, is only accessible to those with the necessary permissions.
- Utilize SQL to extract, analyze, and manipulate data from diverse sources, inclusive of CRM legacy systems.
- Create predictive models and algorithms using advanced statistical methods.
- Generate comprehensible data visualizations using Tableau to aid strategic decisions and facilitate project execution.
- Work alongside team members to ensure data integration into wider strategies.
- Effectively communicate complex data findings to a non-technical audience.
- Champion the organization's data usage, mentoring team members and enhancing overall data literacy within the organization.
- Spearhead the establishment and execution of new data systems and data collection strategies to enhance efficiency and quality.

**Education & Experience**
- Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
- Minimum of 3 - 5 years of relevant experience, preferably within the non-profit, social services or housing sectors.

**Knowledge, Skills, and Abilities**
- Proficiency in SQL, Tableau, CRM legacy systems, and experience with programming languages (ex: Java/python, SAS).
- Deep knowledge of data warehousing, data modeling, and ETL processes.
- Proficiency in machine learning techniques, statistical modeling, and data mining.
- Exceptional communication and presentation skills, with the ability to convey complex data insights clearly to non-technical stakeholders.
- Robust problem-solving skills and the ability to function effectively in both a team and an independent setting.
- A strong alignment with Homeward Trust's mission to end homelessness.

**_ This competition will close at 4:30 p.m. on Friday, July 14, 2023. We thank all applicants for their interest; however, only those selected for an interview will be contacted._

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