Senior Data Scientist
Job in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2026-07-08
Listing for:
Azurity Pharmaceuticals, Inc.
Full Time
position Listed on 2026-07-08
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Mission
Use the data prepared by the Data Engineer to run analysis using different tools and methodologies and provide the Advanced Analytics outputs needed to solve the business problem.
Draw insights from large or complex data sets to solve business problem tackled with use case.
Help driving advanced analytics thinking and methodologies by investigating various topics and sharing insights with broader Advanced Analytics and business stakeholders.
Tasks & Responsibilities- Gather business requirements, translate them into information solutions and identify required data structures and apply strong expertise in advanced analytics techniques (e.g., machine-learning) to design, prototype, and build solutions to use cases.
- Ensure robustness and quality of analytics tools & methods used in projects.
- Collaborate with Data Engineer to support the data modelling and testing during projects.
- Ensure frequent communication with other stakeholders to drive use case solution with business focus and manage expectations on possibilities and lead times.
- Collaborate with business ([function]) to provide technical guidance related to advanced analytics models.
- Develop best practices for analytics (models, standards, tools) and share learnings with peers.
- Contribute to build further the advanced analytics capabilities of Advanced Analytics, attending conferences, allocating time to investigate new topics, etc.
- 5+ years of experience in a statistical and/or data science role.
- Expertise in advanced analytical techniques such as descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, segmentation analysis, etc.
- Experience using analytical tools and languages, e.g., Python, R, Matlab, etc.
- Experience working with large data sets and distributed computing tools (e.g., Hadoop, Hive, Spark, ...).
- Knowledge of industry and ability to translate business needs into advanced analytics solutions.
- Communication skills for highly technical discussions as well as understanding the needs of less technical stakeholders.
Position Requirements
10+ Years
work experience
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