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Director Data Analyst Machine Learning Jobs in Mountain View, CA

PayJoy

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

PayJoy

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and ... Familiarity with multi-modal data integration and analysis. * Strong problem-solving skills and the ...

Apple

Machine Learning Evaluation Engineer

Sunnyvale, CA

$150K - $277K/yr

You will analyze large-scale datasets to identify gaps in data quality and coverage and develop ... Strong background in machine learning and computer vision, including classical ML and statistical ...

PROPRIUS

Director Data Science

San Francisco, CA

You will be tasked with designing, building and selling analytics tools and products within the ... Strong Machine Learning experience. * Ability to communicate effectively and influence at the C ...

PayJoy, Inc

Machine Learning Director

San Francisco, CA · On-site

$300 - $321/hr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ...

Socket.dev

Machine Learning Director

San Francisco, CA · On-site

$300 - $420/hr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ...

StartX

Machine Learning Director

San Francisco, CA · On-site

$300 - $321/hr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning ...

Syntricate Technologies

Machine Learning

Cupertino, CA · On-site

The role involves deploying client models, managing data pipelines, and building chatbots using ... Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

... analysis and data visualization techniques • Understanding of deep learning architectures and algorithms • Excellent problem-solving and critical-thinking skills Company : We are a leading ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$140 - $210/hr

Perform statistical analysis and apply data mining techniques to diagnose bottlenecks, measure impact, and improve model performance and robustness in production settings. * Deploy machine learning ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

... data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics. Responsibilities: * Build and ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

... data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics. Responsibilities: * Build and ...

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Showing results 21-40

All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Mountain View, CA

Director Data Analyst Machine Learning information

See Mountain View, CA salary details

$40.1K

$97.5K

$160.4K

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

As of Sep 3, 2026, the average yearly pay for director data analyst machine learning in Mountain View, CA is $97,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $114,400.00 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 job categories do people searching Director Data Analyst Machine Learning jobs in Mountain View, CA look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Mountain View, CA are:

What cities near Mountain View, CA are hiring for Director Data Analyst Machine Learning jobs?

Cities near Mountain View, CA with the most Director Data Analyst Machine Learning job openings:

Director Data Analyst Machine Learning jobs near you
Infographic showing various Director Data Analyst Machine Learning job openings in Mountain View, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,489 per year, or $46.9 per hour.

Machine Learning Director

PayJoy

San Francisco, CA • On-site

$300K - $321K/yr

Full-time

Posted 13 days ago

Job description

About PayJoy
 
PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success.  Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system.  Through PayJoy's point-of-sale financing and card offerings, customers gain access to a modern quality of life.  PayJoy's credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.
 
This role

As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy. This includes ML infrastructure: feature stores (online and offline), model serving, ETL/feature architecture and the infrastructure that helps us serve our customers like our internal offers API.


You will bridge the gap between business strategy (Risk, Fraud, Product) and technical execution, ensuring that our ML infrastructure is scalable, secure and world-class. You are a leader who enables senior-level engineers to solve the company's most complex problems, fostering an environment where innovation meets production-grade reliability.


You will be part of a data science team on a mission to improve access to credit and technology in emerging markets with the opportunity of creating a big and real positive impact to our millions of users across the countries we operate in.


Key Responsibilities

  • Define the technical roadmap for our ML platform, modeling and internal APIs infrastructure, moving beyond individual projects to oversee the long-term sustainability of our "assembly line" approach to data products and ML model + offers serving.

  • Mentor and manage a team of Staff and Senior-level ML Engineers. Foster a culture of technical excellence, focusing on system design, scalability and code quality.

  • Act as the primary liaison between Data Science/ML Engineering and business stakeholders like Risk, Fraud, Engineering and Product. Translate complex business goals into actionable technical requirements that the team can execute at scale.

  • Own the long-term vision for our ML infrastructure, including deployment, monitoring and MLOps practices. Ensure that all data products are not only performant but also maintainable and compliant with global safety standards.

  • Guide the professional growth of your direct reports, ensuring they are challenged by the right problems and supported by clear career trajectories.

  • Champion the adoption of new technologies (e.g., LLMs, graph databases) and best practices that keep PayJoy at the forefront of financial ML without sacrificing stability.


Requirements

  • PhD or master's in Computer Science, Statistics, Engineering or a related field

  • 8+ years of hands-on experience in Data Science or ML Engineering, with at least 4+ years in a leadership role managing senior-level or staff-level engineers.

  • A proven track record of designing and delivering large-scale ML systems. You must have a deep understanding of the full ML lifecycle (from feature extraction to production monitoring) and the ability to review system designs and architecture at a high level.

  • Ability to identify bottlenecks in global ML operations and design systematic solutions. You think in terms of platforms, not just individual models.

  • Exceptional ability to communicate complex technical concepts to non-technical stakeholders. You can defend technical decisions to executive leadership and advocate for the "engineering mindset."

$300,000 - $321,000 a year
PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
 
PayJoy Principles
 
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening
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.
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