Current Statistics
1,807,564 Total Jobs 361,405 Jobs Today 19,487 Cities 222,713 Job Seekers 146,819 Resumes |
|
|
|
|
|
|
Staff Data Scientist - Bellevue Washington
Company: Disability Solutions Location: Bellevue, Washington
Posted On: 11/16/2024
Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Doctor of Philosophy Travel Percentage : 0%Job DescriptionResponsibilities - Demonstrate ownership across all data science aspects of products, ranging from data streams to machine learning, from observability to product strategy
- Architect and help build state-of-the-art, robust, efficient, and observable statistical and machine learning models
- Develop large-scale data pipelines using off-the-shelf data tools to optimize quality and performance
- Create frameworks to identify trends, anomalies, and opportunities, providing actionable insights for product, engineering, and operations teams
- Collaborate with business stakeholders to understand their needs and translate them into data-driven solutions
- Clearly communicate findings and insights to cross-functional stakeholders, and drive roadmap
- Stay current with the latest trends and technologies in data science, machine learning and artificial intelligence, and communicate internally
- Help junior scientists grow via technical leadership and mentorship---Requirements
- PhD in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field
- 8+ years of experience in a data science role or similar--
- Proven experience applying machine learning and statistical modeling techniques to a range of real-world problems
- Strong programming skills in Python, SQL, with familiarity in coding concepts and version control via git
- Expertise in traditional machine learning and neural network (Keras, TensorFlow, PyTorch) frameworks
- Proven experience leading and mentoring junior data scientists, and establishing a high bar for technical excellence
- Excellent communication and cross-functional collaboration skills, thriving in fast-paced environments
- Proficiency with feature stores, machine learning model governance, model monitoring, A/B testing, and champion/challenger setups
- Experience with real-time data processing (Kafka, Flink, Azure Stream, Spark), and cloud-based technologies (AWS, Azure, GCP)---Preferred Qualifications
- Published state-of-the-art research in recognized journals and conference talks--
- Familiarity with payment networks, banking systems, and fintech software---What We OfferAt FIS, we hire the best. In return, you'll receive:
|
|
|
|
|
|
|