Data Scientist
TradeJobsWorkforce90096 Los Angeles, CA, USData Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies again... Show more
Data manager • downey ca
Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies again... Show more
With more than 50 years of unwavering passion for quality, Norman International Inc.Our long-standing commitment to quality and craftsmanship have made us the number one choice for homeowners who d... Show more
Thermal Engineering International (USA) Inc.Project Manager to manage our Data Centers projects.Project Manager will be responsible for overseeing projects from inception to completion, ensuring th... Show more
Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies agains... Show more
As a clinical data manager on this project, you would own a part in multiple workflows: 1\.Clinical Data Generation: you would lead it.We need someone who understands the entire anatomy of a data r... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
That’s why people come to Pizza Hut.It’s the calling of our Assistant Restaurant Managers to make them feel like family with smiles, teamwork and dedication.If you’re an experienced restaurant or r... Show more
Our Shift Managers provide daily leadership to ensure the restaurant meets operational goals and mentoring to team members to delight every customer.On our team, you'll be invested in as you develo... Show more
We're working with a growing home furnishings retailer that's modernizing its data infrastructure - think legacy SQL Server systems evolving into cloud-native pipelines feeding BI and emerging AI i... Show more
Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from th... Show more
TeaAroma is currently expanding its operations and relocating to a larger facility in.Using the highest quality ingredients and innovative processing technology, we provide fresh, reliable, and pre... Show more
Clients need a single point of contact who actually understands hardware, not just a relationship manager who has to relay every technical question.Projects span hardware deployment, structured cab... Show more
The Manager coordinates the food service activities of the restaurant in order to ensure exceptional guest.Oversees dining room and kitchen food service activities.Supervises employees in accordanc... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
Great employees deserve great benefits!.Paid vacation 3 weeks per year.Medical, dental, vision, and life and disability plans.Sick time and company holidays.Leave programs for qualifying events.Eli... Show more
The average salary range is between $ 86,100 and $ 171,441 year , with the average salary hovering around $ 125,013 year .
Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Leads all data experiments tasked by the Data Science Team.Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.Develops methodology and processes for prioritization and scheduling of projects.Analyzes problems and determines root causes.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.