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Permanent Computer Science Statistics Jobs in California

Cynet Systems

Data Scientist

San Diego, CA · Hybrid

$55 - $60/hr

Computer Science, Statistics, Data Science, Data Analytics, Machine Learning. Python, PySpark, SQL. Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker. Supervised learning ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.4+ years of experience in data science with proven skills in developing meaningful and concise ...

Redolent, Inc

Data Scientist

San Bruno, CA · On-site

Minimum Qualifications- PhD in Computer Science, Statistics or related field; OR a Master?s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience ...

Info Way Solutions

Sr. Data Scientist

Fremont, CA · Remote

Qualifications PhD/MS degree in Computer Science, Statistics, Applied Mathematics, or related fields Minimum of 5 years of industry experience working with large datasets and building predictive ...

Omni Inclusive

Data Scientist

San Diego, CA · Hybrid

Computer Science, Statistics, Data Science, Data Analytics, Machine Learning. • Python, PySpark, SQL • Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker • Supervised ...

E-Solutions

Senior Data Scientist

San Diego, CA · Hybrid

Computer Science, Statistics, Data Science, Data Analytics, Machine Learning. • Python, PySpark, SQL • Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker • Supervised ...

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What is the difference between Permanent Computer Science Statistics vs Permanent Data Analyst?

AspectPermanent Computer Science StatisticsPermanent Data Analyst
Required CredentialsBachelor's or higher in Computer Science, Statistics, or related fields; often certifications in data analysis or programmingBachelor's in Statistics, Data Science, or related fields; certifications in data tools are common
Work EnvironmentTech companies, research institutions, or finance; focus on algorithms and statistical modelsBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, academia for developing models and algorithmsUsed across industries for analyzing data to inform business decisions

Permanent Computer Science Statistics professionals focus on developing algorithms and statistical models, often in tech or research settings, while Permanent Data Analysts interpret data to support business strategies across various industries. Both roles require strong analytical skills and relevant certifications, but their daily tasks and work environments differ.

What are the most commonly searched types of Computer Science Statistics jobs in California? The most popular types of Computer Science Statistics jobs in California are:
What cities in California are hiring for Permanent Computer Science Statistics jobs? Cities in California with the most Permanent Computer Science Statistics job openings:
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Data Scientist

Data Scientist

Cynet Systems

San Diego, CA • Hybrid

$55 - $60/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer

Job Description: Pay Range: $55hr - $60hr

Lead development of advanced machine learning and statistical models

Design scalable data pipelines using PySpark

Perform data transformation and exploratory analysis using Pandas, Numpy and SQL.

Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch.

Mentor junior engineers and lead code reviews, best practices and documentation.

Designing and implementing big data, streaming AI/ML training and prediction pipelines.

Translate complex business problems into data driven solutions.

Promote best practices in data science, and model governance.

Use tools like Python, TensorFlow, PyTorch, SQL, and cloud platforms.

Stay ahead with evolving technologies and guide strategic data initiative.

Requirements:

Bachelor and/or Masters degree in either one of the disciplines: Computer Science, Statistics, Data Science, Data Analytics, Machine Learning.

Python, PySpark, SQL.

Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker.

Supervised learning models: Regression, Classification.

Unsupervised learning models: Anomaly detection, clustering.

Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models.

Model evaluation, cross validation, hyper parameters tuning.

Scikit-Learn, TensorFlow, PyTorch.

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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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