Data Science
Fremont, CA · On-site
Info Way Solutions is seeking a Data Science professional to join their team. The role involves statistical modeling, data extraction, and the implementation of machine learning algorithms to derive ...
Data Science
Fremont, CA · On-site
Info Way Solutions is seeking a Data Science professional to join their team. The role involves statistical modeling, data extraction, and the implementation of machine learning algorithms to derive ...
Data Science Engineer
San Jose, CA · On-site
We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ground-breaking, predictive techniques for forecasting customer retention metrics, units, and ARR.
Data Science Engineer
San Jose, CA · On-site
We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ground-breaking, predictive techniques for forecasting customer retention metrics, units, and ARR.
Data Science Engineer
Livermore, CA · On-site
$134K - $161K/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 ...
Data Science Engineer
Livermore, CA · On-site
$134K - $161K/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 ...
Data Science Engineer
Livermore, CA · On-site
$134K - $161K/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 ...
Data Science Engineer
Livermore, CA · On-site
$134K - $161K/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 ...
Data Science Engineer
Livermore, CA · On-site
$9.7K/wk
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 ...
Data Science Engineer
Livermore, CA · On-site
$9.7K/wk
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 ...
Data Science Engineer
Livermore, CA · On-site
$121K - $154K/yr
Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...
Data Science Engineer
Livermore, CA · On-site
$121K - $154K/yr
Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...
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 ...
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 ...
Data Science Engineer
Livermore, CA · On-site
$121K - $154K/yr
We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...
Data Science Engineer
Livermore, CA · On-site
$121K - $154K/yr
We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...
Data Science Engineer
Livermore, CA · On-site
$9.7K/wk
We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...
Data Science Engineer
Livermore, CA · On-site
$9.7K/wk
We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...
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 involves developing and implementing advanced data solutions, optimizing data pipelines, and collaborating ...
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 involves developing and implementing advanced data solutions, optimizing data pipelines, and collaborating ...
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...
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 involves developing and implementing advanced data solutions and optimizing data pipelines, machine ...
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 involves developing and implementing advanced data solutions and optimizing data pipelines, machine ...
Data Science Engineer
$134K - $161K/yr
We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This ...
Data Science Engineer
$134K - $161K/yr
We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This ...
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...
We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...
Data Science Graduate
San Jose, CA · Hybrid
Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...
Data Science Graduate
San Jose, CA · Hybrid
Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...
Data Science Graduate
Sunnyvale, CA · Hybrid
Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...
Data Science Graduate
Sunnyvale, CA · Hybrid
Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...
Data Science/Data Engineer Location: San Jose, CA Duration: Full Time 5+ years of experience in software/data applications 2+ years of experience with Hadoop, NoSQL, SQL 2+ years of experience ...
Data Science/Data Engineer Location: San Jose, CA Duration: Full Time 5+ years of experience in software/data applications 2+ years of experience with Hadoop, NoSQL, SQL 2+ years of experience ...
Data Science Graduate
Sunnyvale, CA · Hybrid
Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...
Data Science Graduate
Sunnyvale, CA · Hybrid
Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...
Data Science Graduate
San Jose, CA · Hybrid
Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...
Data Science Graduate
San Jose, CA · Hybrid
Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...
And because it's Visa, our data scientists have access to a treasure trove of structured and un-structured data. At Visa, we believe AI technologies have the potential to radically transform the ...
And because it's Visa, our data scientists have access to a treasure trove of structured and un-structured data. At Visa, we believe AI technologies have the potential to radically transform the ...
Weekend Data Science information
See Santa Clara, CA salary details
$44K - $61K
2% of jobs
$61K - $78K
3% of jobs
$78K - $95K
6% of jobs
$95K - $111.9K
9% of jobs
$117.4K is the 25th percentile. Wages below this are outliers.
$111.9K - $128.9K
15% of jobs
The median wage is $140.2K / yr.
$128.9K - $145.9K
22% of jobs
$155.2K is the 75th percentile. Wages above this are outliers.
$145.9K - $162.9K
32% of jobs
$162.9K - $179.8K
3% of jobs
$179.8K - $196.8K
4% of jobs
$196.8K - $213.8K
1% of jobs
$213.8K - $230.8K
2% of jobs
$44K
$144.1K
$230.8K
How much do weekend data science jobs pay per year?
As of Sep 1, 2026, the average yearly pay for weekend data science in Santa Clara, CA is $144,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $159,700.00 per year, depending on experience, location, and employer.
What is a weekend data science?
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 skills and qualifications are needed to thrive as a weekend data scientist?
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 challenges do data scientists working on weekends face, 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 the difference between Weekend Data Science vs Part-Time Data Analyst?
| Aspect | Weekend Data Science | Part-Time Data Analyst |
|---|---|---|
| Credentials | Typically requires a degree in data science, statistics, or related field | Often requires a degree or relevant experience in data analysis or related fields |
| Work Environment | Project-based, flexible hours, often remote or on-site during weekends | Flexible hours, may be remote or on-site, often with less technical complexity |
| Industry Usage | Used in tech, finance, healthcare, and startups for specialized projects | Common 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.
Do weekend data scientists work on weekends?
Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.
What are the most commonly searched types of Data Science jobs in Santa Clara, CA?
The most popular types of Data Science jobs in Santa Clara, CA are:
What are popular job titles related to Weekend Data Science jobs in Santa Clara, CA?
For Weekend Data Science jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Santa Clara, CA look for?
The top searched job categories for Weekend Data Science jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Weekend Data Science jobs?
Cities near Santa Clara, CA with the most Weekend Data Science job openings:
Job description
Job Summary:
Info Way Solutions is seeking a Data Science professional to join their team. The role involves statistical modeling, data extraction, and the implementation of machine learning algorithms to derive insights from structured and unstructured datasets.
Responsibilities:
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
• Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools
• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
• Experience with cloud services such as : Azure Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Qualifications:
Required:
• Experience 9+
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
• Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools
• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
• Experience with cloud services such as: Azure Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Info Way Solutions is seeking a Data Science professional to join their team. The role involves statistical modeling, data extraction, and the implementation of machine learning algorithms to derive insights from structured and unstructured datasets.
Responsibilities:
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
• Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools
• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
• Experience with cloud services such as : Azure Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Qualifications:
Required:
• Experience 9+
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
• Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Solid programming skills with knowledge of R, SQL, Python or other data-extraction and analysis tools
• Experience with deployment of machine learning and statistical models on a cloud and leveraging services in AWS or Azure or Google Cloud.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
• Experience with cloud services such as: Azure Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About Info Way Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Fremont, CA, US
Year founded
2012