Research Data Scientist Jobs in California

In addition to the responsibilities listed below, this position is also responsible for programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.), data management, quality control, and reporting for projects as appropriate; extracting, manipulating, and merging large databases to create analytical datasets; performing simple analytical tasks using SAS or other analytical tools; maintaining and troubleshooting software and programs; and implementing automated reporting and data loading schemes.

• Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.
• Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.
• Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.
• Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting end-users; and documenting processes and deliverables.
• Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.
• Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.
• Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.
• Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.

• Ambiguity/Uncertainty Management
• Attention to Detail
• Business Knowledge
• Communication
• Critical Thinking
• Cross-Group Collaboration
• Decision Making
• Dependability
• Diversity, Equity, and Inclusion Support
• Drives Results
• Facilitation Skills
• Health Care Industry
• Influencing Others
• Integrity
• Learning Agility
• Organizational Savvy
• Problem Solving
• Short- and Long-term Learning & Recall
• Teamwork
• Topic-Specific Communication

• SAS Tools
• SQL/SAS
• Data Mining
• Data Visualization Tools
• Statistical Programming Language
• Written Communication

• Minimum one (1) year experience programming with SAS, SQL, R or other similar analytical programming language.


• Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.

• One (1) year relational database experience.
• One (1) year experience working with data visualization tools.
• One (1) year experience working with SQL.
• One (1) year machine learning experience.
• One (1) year experience working with business intelligence tools.
• One (1) year experience working with Open Source Tools (e g , R, Python).

PrimaryLocation : California,Pasadena,S. Los Robles Administration
HoursPerWeek : 40
Shift : Day
Workdays : Mon, Tue, Wed, Thu, Fri
WorkingHoursStart : 08:00 AM
WorkingHoursEnd : 05:00 PM
Job Schedule : Full-time
Job Type : Standard
Employee Status : Regular
Employee Group/Union Affiliation : NUE-SCAL-01|NUE|Non Union Employee
Job Level : Individual Contributor
Job Category : Data Analytics
Department : Department of Research and Evaluation
Travel : No
Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.

For jobs where work will be performed in unincorporated LA County, the employer provides the following statement in accordance with the Los Angeles County Fair Chance Ordinance. Criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Consistently supports compliance and the Principles of Responsibility (Kaiser Permanente's Code of Conduct) by maintaining the privacy and confidentiality of information, protecting the assets of the organization, acting with ethics and integrity, reporting non-compliance, and adhering to applicable federal, state, and local laws and regulations, accreditation, and licensure requirements (where applicable), and Kaiser Permanente's policies and procedures.

• Models and reinforces ethical behavior in self and others in accordance with the Principles of Responsibility, adheres to organizational policies and guidelines; supports compliance initiatives; maintains confidences; admits mistakes; conducts business with honesty, shows consistency in words and actions; follows through on commitments.

• Job duties with at least occasional or possible access to: (1) patients, the general public, or other employees; (2) confidential protected health information and other confidential KP information (including employee, proprietary, financial or trade secret information); (3) KP property and assets, for example, electronic assets, medical instruments, or devices; (4) controlled substances regulated by federal law or potentially subject to diversion.