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Overnight Python Data Science Jobs in Santa Clara, CA

Unikon IT

Data Scientist

San Jose, CA · On-site

Python - Data Science Preferred Qualifications * Hands-on experience with major cloud platforms (AWS, Google Cloud, Azure) and data lakes. * Familiarity with version control using Git. * Knowledge of ...

Five9

Vice President, Data Science

San Ramon, CA

The data science team is very much applied - their work directly makes its way into real products ... Ability to work with engineering teams using modern software practices (Python, data platforms ...

Info Way Solutions

Data Science

Fremont, CA · On-site

Info Way Solutions is seeking a Data Science professional to join their team. The role involves ... Python, Scala, Java, C++, etc. • Experience supporting and working with cross-functional teams in ...

Info Way Solutions

Data science engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a talented Data Science Engineer to join their team. The role ... sources. • Utilize Python and Spark for data preprocessing, feature engineering, and model ...

Info Way Solutions

Data Science Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a talented Data Science Engineer to join their team. The role ... sources. • Utilize Python and Spark for data preprocessing, feature engineering, and model ...

1872 Consulting

Data Science Manager

Santa Clara, CA · On-site

... Python • Solid understanding of Machine Learning algorithms and Natural Language Processing ... data • Experience with Java • Advanced degree in Computational Linguistics, or Computer Science ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Broad experience with Python programming and software development. * Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems.

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Broad experience with Python programming and software development. * Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems. * Intermediate ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ... Strong proficiency in SQL and Python; R is a plus. * Experience in data cloud platform (eg.

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Broad experience with Python programming and software development. * Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems. * Intermediate ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Developing computer vision models that improve, accelerate, and automate asset inspections processes Strong Python programing Department Overview The Data Science & Artificial Intelligence Department ...

Visa

Sr. Manager, Data Science

Foster City, CA · On-site

Analyze large and complex datasets using Python, SQL, Spark, Hive, R, or similar tools to generate ... data science, or related experience with a Bachelor's degree; 4+ years with a Master's/MBA; or 3+ ...

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Overnight Python Data Science information

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$68

$101

How much do overnight python data science jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for overnight python data science in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

What is an overnight Python data science job?

Overnight Python Data Science jobs involve working night shifts to perform data analysis, build models, or process data using Python programming. These roles may include tasks like cleaning datasets, running automated pipelines, and generating reports for teams that operate on a 24-hour cycle. Such positions are common in industries that require round-the-clock data monitoring or support, such as finance, healthcare, or IT operations. Professionals in these roles typically have experience with Python, data science libraries, and may collaborate with global teams across different time zones.

What skills and qualifications are needed to thrive as an overnight Python data science professional?

To thrive as an Overnight Python Data Science professional, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and machine learning concepts, often backed by a degree in a quantitative field. Familiarity with tools such as Jupyter Notebook, Pandas, Scikit-learn, and data visualization libraries, along with experience using databases and cloud platforms, is typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours help you excel in this role. These skills and qualities are vital for efficiently analyzing data, building reliable models, and delivering actionable insights in a time-sensitive, often autonomous overnight environment.

What are the main challenges of working as an overnight Python data science professional, and how can I succeed in this role?

Working as an Overnight Python Data Science professional often means handling data pipelines, model monitoring, and urgent troubleshooting during hours with limited team support. The main challenges include quickly resolving unexpected data issues, maintaining high attention to detail during late hours, and communicating findings to daytime teams. Success in this role relies on strong problem-solving skills, proactive communication (such as clear shift handovers), and the ability to work independently while following established protocols. Building robust documentation and automating regular tasks can also help manage workload and reduce errors.

What is the difference between Overnight Python Data Science vs Data Analyst?

AspectOvernight Python Data ScienceData Analyst
Required SkillsPython, data analysis, machine learning, statistical modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentRemote or night shifts, tech-focused companies, data-driven rolesOffice-based or remote, business or marketing departments
Industry UsageTech, finance, e-commerce, healthcareRetail, finance, marketing, consulting

Overnight Python Data Science roles focus on advanced data analysis, machine learning, and programming skills, often requiring night shifts and remote work. Data Analysts typically handle data visualization, reporting, and basic analysis during regular hours. Both roles are essential in data-driven industries but differ in technical complexity and work schedules.

What are the most commonly searched types of Python Data Science jobs in Santa Clara, CA?

The most popular types of Python Data Science jobs in Santa Clara, CA are:

Overnight Python Data Science jobs near you

Data Scientist

Unikon IT

San Jose, CA • On-site

Other

Posted 4 days ago

Job description

Data Scientist

Location : San Jose , CA (Hybrid)

Description:

analyzes large, complex datasets to derive actionable insights, design machine learning algorithms, and build robust predictive models. This role involves collaborating closely with product, engineering, and business leaders to turn raw data into strategic, scalable solutions that drive company growth and efficiency. The ideal candidate will blend strong programming and statistical expertise with advanced AI capabilities while strictly adhering to data privacy, ethical guidelines, and organizational standards.

Key Responsibilities

Data Engineering & Infrastructure

  • Build and maintain ETL processes to clean, transform, and merge structured and unstructured data from multiple sources.
  • Optimize data infrastructure for performance, scalability, and cost-efficiency.
  • Automate routine data tasks and workflows to enhance overall operational efficiency.

Advanced Analytics & Modeling

  • Conduct statistical analysis and data mining on large datasets to identify historical trends, patterns, and anomalies.
  • Design, implement, and deploy statistical models, machine learning algorithms, and forecasting systems.
  • Drive the design, development, and optimization of end-to-end AI/ML frameworks, integrating Natural Language Processing (NLP) techniques where applicable.
  • Design and execute controlled A/B tests to evaluate new features or business strategies.

Collaboration & Communication

  • Partner with cross-functional teams to translate complex technical findings into clear, plain-English recommendations.
  • Create automated dashboards and visual stories to track performance using modern business intelligence tools.
  • Adhere to internal standards, security policies, responsible AI practices, and ethical data privacy guidelines.

Required Skills & Qualifications

Technical Skills & Tools

  • Strong proficiency in Python (including Pandas, NumPy, Scikit-Learn, TensorFlow) or R.
  • Practical experience with distributed storage and processing frameworks like PySpark, Apache Spark, Hadoop, Hive, Snowflake, or Azure Databricks.
  • Advanced knowledge of SQL for complex querying and data extraction.
  • Solid understanding of core machine learning (regression, classification, clustering, decision-making trees) and NLP techniques.
  • Firm grasp of statistical analysis, probability distributions, and hypothesis testing.
  • : Experience with tools such as Tableau, Power BI, and Matplotlib.

Core Mandatory Skills

  • PySpark - Data Science
  • Python - Data Science

Preferred Qualifications

  • Hands-on experience with major cloud platforms (AWS, Google Cloud, Azure) and data lakes.
  • Familiarity with version control using Git.
  • Knowledge of prompt engineering, generative AI tools, and productivity automation.

Desired Attributes

  • Natural curiosity coupled with strong analytical abilities to tackle real-world data projects.
  • Ability to explain complex model mechanics to non-technical stakeholders and executives.
  •  Adaptability to rapidly evolving AI technologies and a commitment to staying updated on model interpretability.

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