Seattle Tech Jobs & Startup Jobs | Built In Seattle

Seattle Tech Jobs and Startup Jobs


Senior Software Engineer, Machine Learning

7 hours ago
As a Senior Applied Scientist, you will use our large datasets, computational power, and analytic tools to build high quality and diverse products to support Quantcast’s position as a world-class leader in advertising. You will help lead our efforts in crafting, implementing and operating large-scale machine learning systems in a production environment. The Audience Platform team is developing groundbreaking platforms combine our vast first-party dataset with third-party data to provide the highest quality demographic and behavioral analysis of digital audiences on the market.

Director, Healthcare Analytics

2 days ago
The Director of Healthcare Analytics, reporting to the Chief Medical Officer, is responsible for oversight of healthcare analytics for population health management to support Accolade’s Clinical Strategy. This key role will work closely with internal and external partners to ensure the successful delivery of Accolade’s customer commitments. The Director of Healthcare Analytics will be expected have a high level of understanding of health plans and health systems with the ability to analyze large healthcare data sets to identify opportunities to improve clinical operational performance, as well as health care utilization, cost and outcomes. 

Machine Learning Scientist

Versive, now part of eSentire
2 days ago
The Role: At Versive, we want to cut through the hype and overblown claims surrounding AI and ML and help our customers successfully tackle their biggest challenges. We built our own proprietary machine learning platform on top of open-source distributed computing technologies such as Apache Spark to provide automated and explainable artificial intelligence-driven solutions to our customers. As a Machine Learning Scientist, you will continue to

Data Engineer

6 days ago
As a Data Engineer, you will be responsible for building and maintaining the infrastructure for big data and AI lifecycle. You will also be responsible for maintaining the algorithms developed by our data scientists and using a myriad of tools for production readiness of AI models. You will be working on a cross-functional team of Product Managers, devops engineers, machine learning engineers, and software engineers for high impact shipping. Being a part of hypergrowth startup, you are not afraid of getting your hands dirty and are expected to be a jack of all trades for all steps in the ML lifecycle right from tagging, featurization, training and benchmarking to experimentation, monitoring and analytics.

Data Scientist/ML Engineer

Software Engineer ML Infrastructure

Software Engineer - Content Abuse

Sift Science
1 week ago
Infrastructure - Infrastructure is the backbone of everything we do at Sift. Examples of projects include finding and removing performance bottlenecks, scaling databases, building a framework for feature extraction, and server architecture and administration. Machine learning - We fight fraud with machine learning and our approach is unique. We train our models on millions of transactions across hundreds of customer sites, with countless features extracted from each. Applications - The best infrastructure and machine learning techniques are meaningless without applications that put them to good use. Our API platform enables our customers to get value from Sift Science within minutes of signing up, and our front-end Console product summarizes our predictions in ways that are instantly actionable.

Lead Software Engineer, Machine Learning

1 week ago
Today, there is a chronic and pervasive customer data problem -- one that’s preventing some of the world’s most loved brands from understanding and engaging their customers through meaningful and captivating customer experiences. Amperity has invented a way to solve this problem with the horsepower of a distributed data infrastructure and the intelligence of best-in-class machine learning algorithms and techniques. Amperity frees, connects, and

Senior Software Engineer - Data Science Infrastruc…

Sift Science
1 week ago
As an engineer on the Data Science Infrastructure team, you will design and build infrastructure and tooling to make it fast, easy, and cost effective to perform machine learning experimentation and data analysis. Ensuring data and batch processing pipeline availability, stability, and access at production scale is critical to our mission.

Distinguished Software Engineer - Machine Learning

Sift Science
1 week ago
Use statistical and machine learning techniques to develop scalable solutions to detect fraud and help build Sift’s Trust Platform. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Work alongside software engineers and data engineers to implement prototypes and production code. Direct and oversee long term research projects, along with short-term production-driven model iterations. Act as the point of contact and machine learning leader for the business. Represent Sift’s machine learning efforts inside and outside the company. Provide an expert perspective and help shape Sift’s ML related strategy and initiatives.

Data + Analytics salaries in Seattle

Job Title Average Salary Salary Range
Business Analyst $76,600
Min: $57K
Max: $102K
Data Analyst $80,833
Min: $54K
Max: $135K
Business Intelligence Analyst $91,500
Min: $57K
Max: $115K
Senior Data Analyst $91,975
Min: $55K
Max: $132K
Senior Business Analyst $95,841
Min: $73K
Max: $114K
Analytics Manager $106,875
Min: $65K
Max: $145K
Business Intelligence Developer $107,792
Min: $86K
Max: $135K
Data Engineer $112,759
Min: $82K
Max: $150K
Data Scientist $123,083
Min: $91K
Max: $154K
Data Architect $125,750
Min: $113K
Max: $145K
Senior Data Scientist $138,667
Min: $106K
Max: $180K
Business Intelligence Manager $145,200
Min: $120K
Max: $172K
Director of Analytics $149,500
Min: $147K
Max: $153K
CIO (Chief Information Officer) $176,000
Min: $97K
Max: $210K

Top Seattle Companies Hiring for Data + Analytics

eCommerce, Marketing Tech
Software, Virtual Reality
Big Data, HR Tech
eCommerce, Mobile

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