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Exploratory Data Analysis Jobs in California (NOW HIRING)

Versa Networks

Sr. Data Scientist

Santa Clara, CA · On-site

$170K - $225K/yr

Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively. * Data Preparation and ...

Versa Networks

Sr. Data Scientist

Santa Clara, CA · On-site

$225K - $300K/yr

Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively. * Data Preparation and ...

Versa Networks

Sr. Data Scientist

Santa Clara, CA · On-site

$225K - $300K/yr

Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively. * Data Preparation and ...

Versa Networks, Inc.

Sr. Data Scientist

Santa Clara, CA · On-site

$150 - $200/hr

Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively. * Data Preparation and ...

Spark Tek Inc

Data scientist

San Jose, CA · On-site

... exploratory data analysis, statistical analysis, and experimentation. • Ability to use Python or R to work efficiently at scale with large data sets. • Proficiency in SQL. • Ability to use ...

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Good knowledge on Exploratory Data Analysis (EDA) * Hands on experience on platforms - Microsoft Azure/Amazon Web Services * Libraries - Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow ...

Apple

Data Scientist

Cupertino, CA · On-site

$144K - $263K/yr

Our day-to-day work crosses many functional areas, including experimental design, AB testing, exploratory data analysis, AI/ML modeling, data mining, and more.","responsibilities":"Build data ...

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Exploratory Data Analysis information

What is exploratory data analysis?

An Exploratory Data Analysis (EDA) job involves analyzing and summarizing datasets to uncover patterns, relationships, and anomalies before applying formal modeling techniques. Professionals in this role use statistical methods and visualization tools to interpret data insights, assess data quality, and guide decision-making. EDA helps organizations understand their data better, ensuring that downstream analysis and machine learning models are built on a strong foundation.

What does someone in exploratory data analysis do?

Professionals in Exploratory Data Analysis spend their days gathering, cleaning, and examining data sets to identify patterns, trends, and potential outliers. They use statistical and visualization tools to create reports and dashboards that help stakeholders understand the data’s implications. Collaboration with data engineers, business analysts, and management is common to ensure that the analyses address real business questions. Additionally, they often refine data collection processes and suggest improvements based on their findings, contributing to more efficient and insightful data workflows.

What are the key skills and qualifications needed for exploratory data analysis?

To thrive in Exploratory Data Analysis, you need a strong background in statistics, data visualization, and data manipulation with a relevant degree such as in statistics, mathematics, or computer science. Proficiency with tools like Python (pandas, matplotlib, seaborn), R, SQL, and data visualization platforms such as Tableau is highly valued, and certifications in data analytics can be beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate insights clearly are essential soft skills for this role. These abilities ensure that analysts can interpret complex datasets, uncover valuable trends, and present findings to inform business decisions.

What is an exploratory data analyst?

An exploratory data analyst is a professional who examines and summarizes data sets to identify patterns, trends, and relationships. They use statistical tools and programming languages like Python or R to visualize data and support decision-making processes.

What are the most commonly searched types of Exploratory Data Analysis jobs in California?

The most popular types of Exploratory Data Analysis jobs in California are:

What are popular job titles related to Exploratory Data Analysis jobs in California?

For Exploratory Data Analysis jobs in California, the most frequently searched job titles are:

What job categories do people searching Exploratory Data Analysis jobs in California look for?

The top searched job categories for Exploratory Data Analysis jobs in California are:

Exploratory Data Analysis jobs near you
Infographic showing various Exploratory Data Analysis job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 30% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Sr. Data Scientist

Santa Clara, CA • On-site

Versa Networks
Software Development • 501 - 1,000 employees
Learn more about Versa Networksexternal

$170K - $225K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago

Job description

About Us
At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO.
We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact.
At Versa Networks, we don't just build products - we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates.
Job Summary
We are seeking a talented and motivated Data Scientist to join our Machine Learning team. In this role, you will contribute to a wide range of data-driven projects, from exploratory data analysis to building and deploying machine learning models for a variety of Security and Networking use-cases. You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making.
Responsibilities
  • Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively.
  • Data Preparation and Engineering: Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling. Handle missing values, outliers, and inconsistencies. Labeling datasets appropriately for classification problems.
  • Machine Learning: Build, train, and evaluate custom machine learning models for security use-cases such as threat/vulnerability detection, including traditional algorithms like CNNs, LSTM, Boosted Decision Trees, DNNs as well as newer NLP/Vision models using Transformers, Mamba etc.
  • Model Deployment: Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability. You need to be aware of and have experience in model quantization, model evaluation and various deployment formats like ONNX, GGUF etc.
  • Problem-Solving: Apply critical thinking and problem-solving skills to tackle complex data challenges, to continually improve training pipelines and optimize inference.
  • Collaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights.

Requirements
Qualifications
  • Master's degree in computer science/engineering.
  • 4-5 years of experience in data science or a related field.
  • Strong proficiency in Python programming language.
  • Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn).
  • Knowledge of machine learning algorithms and techniques.
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with natural language processing (NLP) and large language models (LLMs) is a plus.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Preferred Qualifications:
    • Experience with Go/Rust programming language.
    • Experience working with threat modeling and detection, anomaly detection or related fields is a bonus.
    • Distributed training frameworks such as RAPIDS, Dask, Ray is preferable.
    • Knowledge of cloud platforms (e.g., AWS, GCP, Azure).
    • Experience with data version control and MLOps frameworks such as MLFlow/ClearML.
    • Familiarity with cloud-native DevOps such Docker, K8s, Helm, Terraform.

Location: US
*Applicants must be authorized to work in the US
The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range of $170,000 to $225,000. A candidate's specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs.
Benefits
Why Versa?
At Versa Networks, we believe in taking care of our people - both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect:
  • Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication.
  • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered.
  • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters.
  • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you.
  • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends.
  • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success.
  • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do.
  • Parental Leave: Generous parental leave policies to support you during life's important moments.

At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success.
Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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