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Weekend Data Science R Jobs in San Jose, CA (NOW HIRING)

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 ... R, SQL, Python or other data-extraction and analysis tools • Experience with deployment of ...

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.

Salesforce

Data Science Principal

San Francisco, CA

... data science, such as Python, R, or Scala. Knowledge of workflow orchestration tools like Apache Airflow is highly desirable Strong foundation in statistics, experimentation, causal inference ...

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Weekend Data Science R information

See San Jose, CA salary details

$44K

$143.8K

$230.3K

How much do weekend data science r jobs pay per year?

As of Sep 13, 2026, the average yearly pay for weekend data science r in San Jose, CA is $143,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $159,400.00 per year, depending on experience, location, and employer.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.
Weekend Data Science R jobs near you

Role: Practice Head - Data Engineering

San Jose, CA • On-site

Spark Tek Inc
See more jobs at Spark Tek Incexternal

$134K - $161K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Spark Tek Inc is a new-generation Digital Service Solution Provider, transforming the way businesses operate in a digitally connected world. They are seeking a Practice Head - Data Engineering to lead a team of data engineers, set strategic direction, and ensure the adoption of best practices in delivering secure and scalable data solutions.
Responsibilities:
• Provide technical leadership and guidance for the development of robust, automated data pipelines and management processes across the data engineering function.
• Set and execute the strategic vision for data engineering, aligning with business goals and continuously improving delivery and innovation.
• Lead the end-to-end data development lifecycle, including data ingestion, cleansing, validation, transformation, curation, and presentation.
• Oversee and optimize data architecture, ensuring data quality, security, and scalability.
• Mentor, coach, and develop data engineers, fostering a culture of learning, collaboration, and professional growth.
• Embed industry best practices and modern engineering techniques, driving adoption of agile and DevOps methodologies.
• Collaborate with cross-functional teams (data science, analytics, IT, business stakeholders) to deliver integrated data solutions and enable data-driven decision-making.
Qualifications:
Required:
• 10+ years' experience working on complex data projects including migrations, integrations, data architecture and data governance.
• Experienced technology leader with extensive Data Quality, Data Management, Data Security, Data Governance skills.
• Solid experience in Data Integration - ETL(Informatica, DataStage, Talend, AbInitio), Data Lakes such as Snowflake, Azure Data Lake etc, Data Warehouse, Databricks, Cloud migrations.
• Data Governance - data quality and privacy, metadata management, data stewardship.
• Data Catalog - traceability, data dictionary & lineage.
• Master Data Management (MDM) - Reltio, Stibo, Riversand, etc.
• Unified Data Architecture for data fabric for agentic AI (WDF for ServiceNow, Mulesoft, Infa for Salesforce, Azure DF, Boomi, etc.)
• Business Intelligence, Analytics & Visualization - Qlik, Tableau, Cognos, Microstrategy, PowerBI, etc.
• Data Science - R, Python, Pi-spark, Data in Rest & Motion (Kafka, Confluent, etc).
Company:
Spark Tek Inc offers IT solutions and consultancy services, specializing in IT services and consulting for various industries. Founded in 2021, the company is headquartered in Farmers Branch, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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