Data Scientist

Donor Network West’s mission is to save and heal lives through organ and tissue donation for transplantation and research. At Donor Network West, we're looking for people who embody our core values: passion, excellence, equity and inclusion, and relationships. We welcome diverse perspectives and foster an environment of collaboration and service.
POSITION SUMMARY The Data Scientist is responsible for identifying data science needs and developing and documenting solutions, reports, dashboards, and performing data governance tasks in support of DNWest business intelligence strategies for all business units across DNWest. Report presentations will be complete with data sources, data model, and potential business processes requirements needed for the reports. They may also support data extraction and loading processes as needed determined by the VP of BIDS. The Data Scientist will also be involved in implementing statistical models and machine learning.

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES

• Work across departments to identify data science needs and design solutions.
• Work with departments, team members and project partners to identify data needs, procure the best available data, and determine appropriate analysis methods.
• Create, test, and modify scripts and reproducible analytical workflows to support the BIDS team in producing high quality, discoverable, and reusable data. Such workflows will include data processing, creating figures, and implementing statistical models.
• Analyzes Donor Network West’s data warehouse, cubes, transactional, and other data source systems for report writing and application building.
• Presents report and dashboard data in a way that is most meaningful and readily accessible to internal customers while complying with development framework.
• Writes queries using Structured Query Language (SQL), Transact-SQL (T-SQL), Multi-Dimensional Expressions (MDX), Data Analysis Expressions (DAX).
• Develops and maintains web based applications such as Microsoft Power platform.
• Supports data integration projects using Extract Transform Load (ETL) methodology.
• Support team members in documenting data products and following metadata standards.
• Administers various data governance tasks and participate in data governance meetings.
• Collaborates with end users to gather project requirements and ensure proper testing and validation. Provide support to end users and project manage as needed.

QUALIFICATIONS

• Strong analytical skills, including experience with research approaches and quantitative modeling.
• Excellent communication skills, including written, oral, listening, and presentation.
• Excellent interpersonal skills, commitment to customer service (internal and external).
• Strong presentation and data visualization skills.
• Self-starter, high level of initiative, proven proactive thinker.
• Strong ability to multi-task with results-oriented mindset.
• Calm individual who can operate under pressure, deadlines, and the demands of a busy office environment.

EDUCATION AND EXPERIENCE

• Requires a Bachelor’s Degree in Data Science, Computer Science, Informatics, or equivalent area and at least 3 years of relevant work experience.
• Fluency in Python and/or R, or fluency in another data science scripting language.
• Strong understanding and experience with Microsoft SQL Server database platform and SQL Server reporting and Analytics Services (SSRS, SSAS, and SSIS).
• Direct experience in report writing tools and data analysis tools such as Microsoft SSRS, Business Intelligence (BI) tools such as Power BI.
• Familiarity and/or Experience applying machine learning.
• Experience in creating applications using Power Platform
• Knowledge and experience in data ETL. Experience utilizing data warehouses, cubes, and relational databases to pull reporting information.
• Certifications in Azure data services or advanced analytics preferred

Provided compensation data is subject to change based on location and work status. Salary data provided by third party sites do not accurately reflect our pay structure.