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Director Data Analyst Machine Learning Jobs in California

... 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 ...

... 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 ...

We seek an Executive Director to lead research applying advanced machine learning techniques ... Our research-based data, analytics and indexes, supported by advanced technology, set standards for ...

Data Analyst Senior

Sacramento, CA · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... Develop predictive analytics, machine learning, and artificial intelligence techniques. Use ...

Your primary focus will be in applying data mining techniques, doing statistical analysis, and ... We train and deploy new machine learning models regularly and subscribe to data driven decision ...

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large ... well as Python (for data analysis and model prototyping). * Distributed Systems & Big Data:

Your primary focus will be in applying data mining techniques, doing statistical analysis, and ... We train and deploy new machine learning models regularly and subscribe to data driven decision ...

The Video Engineering Data Analytics and Quality group is seeking an expert in evaluating machine learning and deep learning models, including foundation models and multimodal systems. This role will ...

Machine Learning Engineer

Dublin, CA · On-site

$90 - $130/hr

... and data analysis. You will own all work related to acquiring high-quality data to power the ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

... and data analysis. You will own all work related to acquiring high-quality data to power the ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

Showing results 41-60

Director Data Analyst Machine Learning information

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 the most commonly searched types of Data Analyst Machine Learning jobs in California?

The most popular types of Data Analyst Machine Learning jobs in California are:

What are popular job titles related to Director Data Analyst Machine Learning jobs in California?

For Director Data Analyst Machine Learning jobs in California, the most frequently searched job titles are:

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The top searched job categories for Director Data Analyst Machine Learning jobs in California are:

What cities in California are hiring for Director Data Analyst Machine Learning jobs?

Cities in California with the most Director Data Analyst Machine Learning job openings:

Machine Learning Engineer

Recruiting from Scratch

San Francisco, CA • On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Recruiting from Scratch represents a dynamic and innovative company in the healthcare AI sector that is on a mission to transform healthcare operations through advanced machine learning. The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing workflows.
Responsibilities:
• Develop and optimize machine learning models using Python, PyTorch, and TensorFlow to enhance healthcare operations.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows and systems.
• Conduct experiments and analyze data to improve model performance and accuracy.
• Implement best practices in machine learning and software engineering to ensure high-quality deliverables.
• Participate in code reviews and contribute to a culture of continuous improvement and innovation.
Qualifications:
Required:
• 3+ years of experience in machine learning engineering or a related field.
• Proficient in Python and experienced with frameworks such as PyTorch and TensorFlow.
• Strong understanding of machine learning algorithms and their applications in real-world scenarios.
• Experience in developing and deploying scalable machine learning models.
Preferred:
• Familiarity with healthcare data and understanding of industry-specific challenges.
• Experience with cloud platforms and deployment of machine learning solutions in production environments.
• Knowledge of data preprocessing and feature engineering techniques.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.

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About Recruiting from Scratch

Sourced by ZipRecruiter

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2021

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