ZipRecruiter

Log In

1

Director Data Analyst Machine Learning Jobs in Seattle, WA

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

... and analyzing the results in the wild in order to continuously update and improve accuracy and ... Maintain awareness of industry best practices for data maintenance handling as it relates to your ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Select appropriate datasets and data representation methods * Run machine learning tests and experiments * Perform statistical analysis and fine-tuning using test results * Train and retrain systems ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Select appropriate datasets and data representation methods * Run machine learning tests and experiments * Perform statistical analysis and fine-tuning using test results * Train and retrain systems ...

Factspan Inc

Machine Learning Engineer

Seattle, WA

Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

Funko

Data Analyst

Everett, WA

Experience with AI-driven analytics, automated reporting, or leveraging machine learning outputs in reporting workflows * Familiarity with cloud data platforms (Snowflake, AWS, GCP, Azure, etc.

Funko

Data Analyst

Everett, WA

$90K - $110K/yr

Experience with AI-driven analytics, automated reporting, or leveraging machine learning outputs in reporting workflows * Familiarity with cloud data platforms (Snowflake, AWS, GCP, Azure, etc.

Funko

Data Analyst

Everett, WA

$90K - $110K/yr

Experience with AI-driven analytics, automated reporting, or leveraging machine learning outputs in reporting workflows * Familiarity with cloud data platforms (Snowflake, AWS, GCP, Azure, etc.

Walmart

Director- Data Science

Bellevue, WA

$156K - $312K/yr

Very goodknowledge of the foundations of machine learning and statistics * Experience inbuilding ... Lead,mentorandgrow a team of data scientists, ML engineers and data analysts dedicated to ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Participate in the full development cycle: data collection, labeling, model development ... The work you do here will have a noticeable and direct impact on the development of the company.

Hive

Machine Learning Manager

Seattle, WA

$180K - $250K/yr

Participate in the full development cycle: data collection, labeling, model development ... The work you do here will have a noticeable and direct impact on the development of the company.

Sonsoft Inc

C# / Machine Learning

Redmond, WA

Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence ... Azure Data Lake. * Cosmos. * Analytical skills. * Experience and desire to work in a Global ...

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130K - $156K/yr

Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on ... and general data analysis deliverables. The ML Data Linguist must have a passion for data ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Extensive experience in data science, machine learning algorithms, and advanced analytical modeling techniques. * Proficiency in programming languages including Python, SQL, and Java for code ...

Funko

Data Analyst

Everett, WA · On-site

$90K - $110K/yr

Experience with AI-driven analytics, automated reporting, or leveraging machine learning outputs in reporting workflows * Familiarity with cloud data platforms (Snowflake, AWS, GCP, Azure, etc.

PACCAR

Data Scientist

Renton, WA

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Must be a highly-motivated self-starter and self-directed learner with a creative mind, high ...

PACCAR

Data Scientist

Renton, WA · On-site

$104K - $146K/yr

Build & deploy advanced analytics solutions using AI, machine learning, statistics, or other ... Must be a highly-motivated self-starter and self-directed learner with a creative mind, high ...

next page

Showing results 1-20

All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Seattle, WA

Director Data Analyst Machine Learning information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do director data analyst machine learning jobs pay per year?

As of Jul 20, 2026, the average yearly pay for director data analyst machine learning in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Seattle, WA? For Director Data Analyst Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Seattle, WA look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Director Data Analyst Machine Learning jobs? Cities near Seattle, WA with the most Director Data Analyst Machine Learning job openings:
Director Data Analyst Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Hive

Seattle, WA

$120K - $180K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 22 days ago

Job description

About Hive

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Role

In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
  • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • You have 1-2 years industry machine learning experience
  • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
  • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of Python, especially as it applies to the above ML frameworks
  • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
  • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.

Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply