... BI analysts, data engineers, data scientists, and machine learning engineers . The strongest candidates aren't "tool collectors"-they're people who can show end-to-end capability: build an API ...
... BI analysts, data engineers, data scientists, and machine learning engineers . The strongest candidates aren't "tool collectors"-they're people who can show end-to-end capability: build an API ...
Data Analyst
Cupertino, CA · On-site
$90K/yr
This role involves direct interaction with clients and SIS management and requires providing ... Use statistical and machine-learning techniques to build scalable systems. * Maintain and update ...
Data Analyst
Cupertino, CA · On-site
$90K/yr
This role involves direct interaction with clients and SIS management and requires providing ... Use statistical and machine-learning techniques to build scalable systems. * Maintain and update ...
Machine Learning Engineer - Data Science
Mountain View, CA · On-site
$230K - $280K/yr
Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. to solve challenging problems promptly. * Closely work with the machine learning team to ...
Machine Learning Engineer - Data Science
Mountain View, CA · On-site
$230K - $280K/yr
Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. to solve challenging problems promptly. * Closely work with the machine learning team to ...
This role involves direct interaction with clients and SIS management and requires providing ... Use statistical and machine-learning techniques to build scalable systems. * Maintain and update ...
This role involves direct interaction with clients and SIS management and requires providing ... Use statistical and machine-learning techniques to build scalable systems. * Maintain and update ...
Data Analyst
Cupertino, CA · On-site
$90K/yr
This role involves direct interaction with clients and SIS management and requires providing ... Use statistical and machine-learning techniques to build scalable systems. * Maintain and update ...
Data Analyst
Cupertino, CA · On-site
$90K/yr
This role involves direct interaction with clients and SIS management and requires providing ... Use statistical and machine-learning techniques to build scalable systems. * Maintain and update ...
Machine Learning Intern
Mountain View, CA · Hybrid
$40/hr
We seek talented and motivated students and recent graduates with a strong background in machine learning, deep learning, language models and generative AI, programming, and data analysis to join our ...
Machine Learning Intern
Mountain View, CA · Hybrid
$40/hr
We seek talented and motivated students and recent graduates with a strong background in machine learning, deep learning, language models and generative AI, programming, and data analysis to join our ...
Data Scientist - Machine Learning Focus (This role is open to US Citizens, Green Card holders, GC ... As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will ...
Data Scientist - Machine Learning Focus (This role is open to US Citizens, Green Card holders, GC ... As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will ...
Perform all other duties as reasonably directed by the line manager that are commensurate with ... Excellent data analysis skills. Visa Sponsorship This position is eligible for visa sponsorship.
Quick apply
Perform all other duties as reasonably directed by the line manager that are commensurate with ... Excellent data analysis skills. Visa Sponsorship This position is eligible for visa sponsorship.
Machine Learning Engineer
San Francisco, CA · On-site +1
Your main tasks will include analyzing and interpreting complex data sets, collaborating with cross-functional teams to design and deploy machine learning models, and continuously improving our AI ...
Machine Learning Engineer
San Francisco, CA · On-site +1
Your main tasks will include analyzing and interpreting complex data sets, collaborating with cross-functional teams to design and deploy machine learning models, and continuously improving our AI ...
PROLIM Global Corporation (www.prolim.com) is currently seeking Machine Learning Data Collection ... Experience with these Python analytics libraries: Pandas, Numpy, Plotly Apply online for immediate ...
Quick apply
PROLIM Global Corporation (www.prolim.com) is currently seeking Machine Learning Data Collection ... Experience with these Python analytics libraries: Pandas, Numpy, Plotly Apply online for immediate ...
As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will ... using machine learning, deep learning, statistical methodology, and simulation/optimization ...
As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will ... using machine learning, deep learning, statistical methodology, and simulation/optimization ...
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will ... using machine learning, deep learning, statistical methodology, and simulation/optimization ...
As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will ... using machine learning, deep learning, statistical methodology, and simulation/optimization ...
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Machine Learning Data Engineer
Cupertino, CA · On-site
$141.30K - $169.60K/yr
Experience in data analysis, data engineering, and machine learning data operations.Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.
Machine Learning Data Engineer
Cupertino, CA · On-site
$141.30K - $169.60K/yr
Experience in data analysis, data engineering, and machine learning data operations.Experience designing data quality control processes, data curation workflows, or Human-in-the-Loop initiatives.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
Analyze the impact of integrating new data sources and features into our models. * Build and ... Experience with machine learning techniques such as regression, classification, and clustering.
SR Data Analyst
San Francisco, CA · On-site
$101.30K - $127.80K/yr
... Machine Learning, Deep Learning, NLP, and Simulation in an agile development framework. • Conduct quantitative analysis of experimental, and textual data to generate insights and drive decision ...
SR Data Analyst
San Francisco, CA · On-site
$101.30K - $127.80K/yr
... Machine Learning, Deep Learning, NLP, and Simulation in an agile development framework. • Conduct quantitative analysis of experimental, and textual data to generate insights and drive decision ...
Machine Learning Engineer
Santa Clara, CA · On-site
We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate ...
Machine Learning Engineer
Santa Clara, CA · On-site
We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate ...
Director Data Analyst Machine Learning information
See Fremont, CA salary details
$37.2K - $47.4K
4% of jobs
$47.4K - $57.5K
7% of jobs
$57.5K - $67.7K
13% of jobs
$68.3K is the 25th percentile. Wages below this are outliers.
$67.7K - $77.8K
18% of jobs
The median wage is $82.6K / yr.
$77.8K - $88K
16% of jobs
$88K - $98.1K
13% of jobs
$101.9K is the 75th percentile. Wages above this are outliers.
$98.1K - $108.3K
9% of jobs
$108.3K - $118.4K
5% of jobs
$118.4K - $128.6K
9% of jobs
$128.6K - $138.7K
3% of jobs
$138.7K - $148.9K
2% of jobs
$37.2K
$90.5K
$148.9K
How much do director data analyst machine learning jobs pay per year?
As of May 28, 2026, the average yearly pay for director data analyst machine learning in Fremont, CA is $90,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $106,200.00 per year, depending on experience, location, and employer.
What is the difference between Director Data Analyst Machine Learning vs Data Scientist?
| Aspect | Director Data Analyst Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learning | Bachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills |
| Work Environment | Leads teams, manages projects, strategic planning | Hands-on data analysis, model development, experimentation |
| Employer & Industry Usage | Tech companies, finance, healthcare, retail | Research 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 Fremont, CA? For Director Data Analyst Machine Learning jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Fremont, CA look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Director Data Analyst Machine Learning jobs? Cities near Fremont, CA with the most Director Data Analyst Machine Learning job openings:
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Job description
CS/IT Graduates or About to be Grads. Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learn-but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough." It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI-full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI-so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k-$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number-it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentals-coding, debugging, data structures, system thinking-and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level" candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectors"-they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck-
Fresh grads often struggle for four predictable reasons:
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes."
Who this path fits best
If you're a recent graduate, you'll likely fit if you match any of these:
If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links:
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses." You need a guided, job-focused path and the right people around you. In tech, it's not just what you learn-it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learn-but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough." It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI-full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI-so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k-$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number-it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentals-coding, debugging, data structures, system thinking-and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level" candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectors"-they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck-
Fresh grads often struggle for four predictable reasons:
- Resume doesn't match job keywords (ATS filters you out).
- Projects look like school assignments (not production-aligned).
- Interview skills are undertrained (DSA, system design, SQL, behavioral).
- No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes."
Who this path fits best
If you're a recent graduate, you'll likely fit if you match any of these:
- New grads in CS, Engineering, Math, or Statistics with limited job experience
- Students finishing Bachelor's or Master's programs who need a real hiring plan
- Candidates who apply consistently but don't get callbacks
- Candidates who reach interviews but struggle to close
- International students on F-1/OPT who need a job plan for STEM extension/H-1B timing
- Graduates with strong academics but thin practical experience
If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links:
- Event videos (OCW, JavaOne, Gartner):
- USA Today feature
- Contact & get a roadmap: https://www.synergisticit.com/contact-us/
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses." You need a guided, job-focused path and the right people around you. In tech, it's not just what you learn-it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume