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Data Preprocessing Jobs in Hercules, CA (NOW HIRING)

Experiencewith data preprocessing, feature engineering, and model evaluationtechniques. * Knowledgeof deep learning architectures (CNNs, RNNs, Transformers) and theirapplications. * Proficiencyin ...

Perform rigorous quality checks and preprocessing to ensure data integrity * Experiment with different parameters to optimize EEG data collection and analysis conditions * Collaborate with ...

Build and maintain data preprocessing and data generation pipelines to support model training and evaluation. * Run training and fine-tuning workflows end-to-end and iterate quickly on performance ...

Applied AI Engineer

San Francisco, CA · On-site

$160K - $190K/yr

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

... data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. • Lead cross-functional collaborations to integrate Generative AI models ...

... data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models ...

... of data preprocessing, cleaning, and feature engineering. • Strong working knowledge of recent developments in generative AI, diffusion models, and LLMs -- and judgment about which advances are ...

Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. * Build reliable, scalable software integrations using APIs, cloud services ...

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Data Preprocessing information

See Hercules, CA salary details

$50.8K

$182.2K

$268.9K

How much do data preprocessing jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data preprocessing in Hercules, CA is $182,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,400.00 and $187,700.00 per year, depending on experience, location, and employer.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Machine Learning Engineer, and Chief Data Officer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with extensive experience and relevant certifications.

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

What are the key skills and qualifications needed to thrive as a Data Preprocessing Specialist, and why are they important?

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

Is 40 too late for data science?

Data preprocessing is a key step in data science, and individuals can enter the field at any age. Many data scientists start later in life, and acquiring skills in programming, statistics, and tools like Python or R can facilitate entry regardless of age.

What do you do in data preprocessing?

Data preprocessing involves cleaning and transforming raw data to prepare it for analysis or modeling. This includes tasks such as handling missing values, removing duplicates, normalizing data, and encoding categorical variables, often using tools like Python or R. It is a crucial step to ensure data quality and improve model performance.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

Will AI replace data analysts?

AI is transforming data analysis by automating routine tasks such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and applying domain knowledge. The role is evolving to include skills in machine learning tools and programming languages like Python or R, but human expertise remains critical for nuanced analysis and contextual understanding.

What are some common challenges faced in a Data Preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.
What job categories do people searching Data Preprocessing jobs in Hercules, CA look for? The top searched job categories for Data Preprocessing jobs in Hercules, CA are:
What cities near Hercules, CA are hiring for Data Preprocessing jobs? Cities near Hercules, CA with the most Data Preprocessing job openings:
Data Scientist

Data Scientist

Venturesoft

Pleasanton, CA • On-site

Full-time

PTO

Posted 2 days ago


Job description


In this role as Data Scientist, you will develop and deploy advanced ML models, including large language models (LLMs), to solve complex problems. You'll analyze data, optimize AI pipelines, and collaborate with teams to deliver impactful AI solutions. Additionally, you'll explore emerging AI trends, ensure efficiency practices, and enhance model performance and scalability.
Responsibilities:
  • Developand deploy machine learning (ML) models to solve complex businessproblems.
  • Design,fine-tune, and evaluate large language models (LLMs) for variousapplications.
  • Researchand prototype cutting-edge AI models, ensuring scalability andeffectiveness.
  • Analyzestructured and unstructured data to extract actionable insights.
  • Buildand optimize data pipelines to support AI/ML model training anddeployment.
  • Collaboratewith cross-functional teams to understand requirements and deliverAI-driven solutions.
  • ConductA/B testing, performance monitoring, and continuous model improvement.
  • Stayupdated on the latest advancements in AI/ML technologies and integratethem as appropriate.
  • Documentprocesses, models, and findings for technical and non-technicalstakeholders.

Requirements
  • PhD or Master's degree inComputer Science, Statistics, Mathematics, or related field
  • 5+ years of experience in Businessintelligence, data science, or related fields
  • Strongprogramming skills in Python, R, or Julia, with expertise in librarieslike TensorFlow, PyTorch, or Scikit-learn.
  • In-depthunderstanding of large language models (e.g., GPT, BERT) and naturallanguage processing (NLP).
  • Experiencewith data preprocessing, feature engineering, and model evaluationtechniques.
  • Knowledgeof deep learning architectures (CNNs, RNNs, Transformers) and theirapplications.
  • Proficiencyin querying and managing data using SQL, NoSQL, or graph databases.
  • Familiaritywith cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow).
  • Strongmathematical foundation in statistics, linear algebra, and optimizationtechniques.
  • Experiencewith distributed computing frameworks like Apache Spark or Hadoop.
  • Effectivecommunication skills to present technical findings to diverse audiences.
  • Commitmentto continuous learning and passion for exploring emerging AI/ML trends.

Benefits
Working at VentureSoftmeans being part of a team driven by success and care. We believe inhelping each other achieve their aspirations. We prioritize yourgrowth through exceptional mentorship opportunities, continuouslearning programs, and a well-defined career path. Our flat andagile structure ensures that your voice is heard, your ideas arevalued, and your contributions drive success for our clients andpartners. At VentureSoft, you're not just an employee-you're part ofa community that supports your aspirations and celebrates your achievements.
  • Flexible Work Schedule/Telecommuting
  • Vacation/ PaidTime Off
  • EmployeeDiscounts and Rewards
  • FindingBalance
  • HealthInsurance / Wellness Program

We offer the bestemployee benefits and perks, and we have created a culture ofappreciation within our organization. It's a philosophy that's notnecessarily new-the idea that employees who are treated betterperform better-but it's starting to gain momentum in theprofessional world. At Venturesoft, we think that offering majorbenefits like flexible work schedules, generous PTO, and uniqueperks like a vacation reimbursement program (or a tuitionreimbursement program), full cost for any IT certifications can dowonders for morale and productivity.