ZipRecruiter

Log In

1

Weekend Data Science Jobs in Oakland, CA (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

PROPRIUS

Director Data Science

San Francisco, CA

Director Data Science Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry: Data Science A Fortune 500 is looking for a proven Data Science leader to create a new Data Science team.

LLNL

Data Science Engineer

Livermore, CA · On-site

$134.30K - $161.30K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134.30K - $161.30K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA

$134.30K - $161.30K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

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 providing direct customer benefit. As lead of this team, you will take complete ownership of the ...

Walmart

Director, Data Science

Sunnyvale, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

San Jose, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Mountain View, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Sunnyvale, CA · On-site

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Hayward, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Milpitas, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Fremont, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

In this role, you will work closely with data science and engineering teams to design and implement data models, analyze studies, and contribute to mission-critical projects. Responsibilities : • ...

Walmart

Director, Data Science

San Mateo, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

next page

Showing results 1-20

People also search for

All JobsWeekend Data Science JobsWeekend Data Science Jobs in Oakland, CA

Weekend Data Science information

See Oakland, CA salary details

$43.1K

$141K

$225.7K

How much do weekend data science jobs pay per year?

As of May 28, 2026, the average yearly pay for weekend data science in Oakland, CA is $140,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $156,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Oakland, CA? The most popular types of Data Science jobs in Oakland, CA are:
What are popular job titles related to Weekend Data Science jobs in Oakland, CA? For Weekend Data Science jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Oakland, CA look for? The top searched job categories for Weekend Data Science jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Weekend Data Science jobs? Cities near Oakland, CA with the most Weekend Data Science job openings:
Weekend Data Science jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Other

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

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline
Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)
QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science
SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse
Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Apply