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Weekend Data Science R Jobs in California (NOW HIRING)

Adobe, Inc.

Sr. Manager, People Data Science

San Jose, CA · On-site

$161K - $303K/yr

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Asana

Senior Data Science Manager

San Francisco, CA · Hybrid

$258K - $293K/yr

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success ... e.g., Python, R). * You are comfortable with ambiguity and enjoy the challenge of balancing ...

Redolent, Inc

Data Scientist

San Bruno, CA

We are seeking an experienced data science individual contributor to enable deep insights and ... or R Build and enhance media mix models to connect the impact of marketing tactics and business ...

Adobe

Sr. Manager, People Data Science

San Francisco, CA

$161K - $303K/yr

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Caltech

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

Job Summary The data science engineer will work closely with the PI and his research group to ... Strong programming skills in Python and R * Background in algebraic geometry, computational algebra ...

Adobe

Sr. Manager, People Data Science

San Jose, CA

$161K - $303K/yr

Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling * Experience with people data (survey, HRIS, behavioral) in an applied setting * Expert knowledge of ...

Asana

Senior Data Science Manager

San Francisco, CA · On-site

$258K - $293K/yr

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success ... e.g., Python, R). * You are comfortable with ambiguity and enjoy the challenge of balancing ...

Aven

Data Scientist

Campbell, CA · On-site

Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science ... Expert knowledge of a scientific computing language (such as R or Python) and SQL * Theoretical and ...

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Weekend Data Science R information

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.

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, and why are they important?

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 the most commonly searched types of Data Science R jobs in California? The most popular types of Data Science R jobs in California are:
Weekend Data Science R jobs near you
Director-Data Science Center

Director-Data Science Center

Loma Linda University Health

Loma Linda, CA

Other

Posted 24 days ago

Loma Linda University Health rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

109th of 994 rated hospitals

Job description

Shared Services: Center for Data Sciences (Full-Time, Day Shift) -

Job Summary: The Director for the Center of Data Science advances cutting-edge research and develops transformative solutions at the intersection of biology, medicine, and data science. Contributes to campus-wide groundbreaking initiatives that will drive scientific innovation, enhance patient care, and align our mission to improve lives. Performs other duties as needed.

Education and Experience: Doctor of Philosophy degree in Biostatistics, Bioinformatics, Computational Biology, Data Science, or a related field required. Minimum five years of applied experience in biostatistics, bioinformatics, and Artificial Intelligence and Machine Learning applications required.

Knowledge and Skills: Strong understanding of life sciences, including genomics, systems biology, and molecular biology. Working knowledge of descriptive and inferential statistics, predictive modeling, multivariate analysis, Bayesian statistics experimental design and Model validation and interpretation. Knowledge of bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl), clinical and big data integration, multi-omics analyses, and translational research. Proficiency in statistical programming languages (e.g., R, SAS) and general-purpose programming languages (e.g., Python, Julia, or C++). Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) and advanced AI algorithms. Familiarity with cloud computing platforms (e.g., AWS, Azure, or GCP) and containerization tools (e.g., Docker, Kubernetes). Exceptional analytical and problem-solving skills. Able to read; write and speak with professional quality; use computer and software programs necessary to the position (e.g., Word, Excel, Power Point, Access); operate/troubleshoot basic office equipment required for the position. Relate and communicate positively, effectively, and professionally with others; provide leadership; be assertive and consistent in enforcing policies ensuring compliance with regulatory standards, rules and laws; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Think critically; work independently; perform basic math and statistical functions; manage multiple assignments; compose written material; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Distinguish colors as necessary; hear sufficiently for general conversation in person and on the telephone, and identify and distinguish various sounds associated with the workplace; see adequately to read computer screens, and written documents necessary to the position.

Licensures and Certifications: None.

Our mission is to continue the teaching and healing ministry of Jesus Christ. Our core values are compassion, excellence, humility, integrity, justice, teamwork and wholeness.
Loma Linda University Health is a Seventh-day Adventist, faith and values based Christian institution. Candidates must understand and embrace the mission, purpose, and identity of Loma Linda and its affiliated entities.

We are an equal opportunity employer committed to the principles of diversity. We provide equal opportunities in all aspects of the employment process to every individual, regardless of gender, race, color, age, national origin, ancestry, physical or mental disability, marital or veteran status, genetic information or any other characteristic protected by law. In addition, we will provide reasonable accommodations for otherwise qualified individuals requesting an accommodation due to a disability. If you need accommodation assistance with accessing our job listings or completing an application, or during any other phase of employment with us, please contact Human Resources Management at (909) 651-4001.

Loma Linda University Shared Services is a religiously-qualified Equal Opportunity Employer under Title VII of Civil Rights Act of 1964. No question on this application is asked for the purpose of unlawfully limiting or excluding any applicant's consideration for employment because of race, color, religion, gender, age, national origin, disability, genetic information, or any other status protected by applicable law. If you need a reasonable accommodation in the hiring process, please notify Human Resource Management.

We appreciate your interest in Loma Linda and wish you success in your job search!

What Loma Linda University Health employees say

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About Loma Linda University Health

Sourced by ZipRecruiter

Loma Linda University Health (LLUH) is an esteemed healthcare organization situated in Loma Linda, California, US. Established in 1905, it was initially known as the College of Medical Evangelists, and it operated as the official medical institution of the Seventh-day Adventist Church until the name was changed to LLUH in 1961. LLUH is very much active in the healthcare and education sectors, providing a vast range of services such as medical treatment, research, and health education. The organization’s core mission is "to continue the teaching and healing ministry of Jesus Christ", which underlines its binding values of compassion, integrity, excellence, freedom, and justice.

Industry

Health care and social assistance and hospitality services

Company size

10,000+ Employees

Headquarters location

Loma Linda, CA, US

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