Top Data & Analytics Jobs in Seattle, WA
Seeking an experienced Senior Staff Data Scientist to lead machine learning efforts improving product experience for members by developing and deploying machine learning models. Responsibilities include working closely with Product and Engineering teams, conducting statistical analyses, collaborating with cross-functional teams, and staying updated on the latest Data Science developments. Requirements include 8+ years of experience in Data Science, strong programming skills, proficiency in SQL and data visualization, experience with cloud-based platforms, and an advanced degree in a quantitative major.
Seeking a Principal Data Scientist with strong engineering skills to lead ML and AI initiatives across multiple teams at a financial services company. Responsibilities include building ML / AI products, setting technical standards, providing mentorship, and collaborating with various departments. Requires strong experience in machine learning, AI, data products, and software engineering. Must have expertise in technologies like Airflow, DBT, Git, Docker, Kubernetes, BI tools, Spark, AWS, Snowflake, Scikit-learn, TensorFlow, PyTorch.
Seeking an Engineering Manager to lead Data Infrastructure, Governance, Privacy, and Security Engineering initiatives. Responsibilities include integrating data sources, managing infrastructure, overseeing Snowflake and AWS, providing technical leadership, and executing strategic plans. Required qualifications include a Bachelor's or Master's degree and 7-10 years of experience in data engineering or related fields.
Seeking a full stack Senior Data Scientist to shape business strategy and product development decisions through data-driven insights. Responsibilities include analyzing customer behavior metrics, building models, and driving informed actions. Bachelor's degree required, 4+ years of experience, strong programming skills in SQL and Python, and proficiency in Tableau.
The Senior Analyst, Operational Risk at SoFi will play a pivotal role in steering the company towards a secure and compliant operational landscape by developing & implementing the operational risk management framework. Responsibilities include operational risk assessment & mitigation, regulatory compliance, committee administration, and stakeholder collaboration.
Create tools to assess organizational health, diagnose business needs, identify areas for improvement, and analyze data to influence people strategy at a financial services company.
Seeking a Principal Data Scientist with strong engineering skills in decision science to lead experimentation and causal methods. Responsibilities include tech leadership, mentoring, and driving standards for technical design and execution. Requires deep experience in data products and infrastructure with expertise in various technologies like Airflow, DBT, git, docker, BI tools, Spark, AWS, Snowflake, scikit-learn, etc.
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