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Money Fit by DRS
Bellevue, WA, United States
Requisition ID: 391372 Work Area: Software-Development Operations Expected Travel: 0% Career Status: Professional Employment Type: Regular Full Time Career Level: T2 Original Posting Date: 03/27/2024 Recruiter Name: J.L. Andal Additional Locations: Job Title: Data Scientist Location: Bellevue, WA Purpose and Objective: Concur Technologies, Inc. s
Job Source: Money Fit by DRSFIS
Seattle, WA, United States
Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor's Degree Travel Percentage : 1 - 5% Job Description FIS's mission is to accelerate the pace of financial innovation and access to capital. Today, it's difficult for many businesses to build the financial products the
Job Source: FISPerfectRec
Seattle, WA, United States
We are looking for an experienced Data Scientist to join our growing machine learning (ML) team at PerfectRec. About PerfectRec PerfectRec is a machine-learning powered decision engine focused on helping people find good, personalized recommendations without exhaustive research. Our goals are to get each person the best product for them, while sa
Job Source: PerfectReceXcell
Seattle, WA, United States
As part of a leading IT managed services specialist with more than 12,000 associates worldwide, we rely on the personal relationships we build with our consultants and the clients who depend on them. Join the eX cell team. Our client has a brand new opportunity for a qualified Data Scientist to join their team for an onsite position in
Job Source: eXcellFlexton Inc.
Seattle, WA, United States
Job Title: Data Scientist Location: Seattle, WA (Hybrid Position, Must be local) Duration: 12+ Months Job Description Solid Understanding of 1 or more scripting and programming languages (Python, Java, Scala, etc.) Experience in SQL, NoSQL databases Experience with a variety of machine learning frameworks including supervised/unsupervised learnin
Job Source: Flexton Inc.Logic20/20 Careers
Seattle, WA, United States
Description Data Scientist Seattle, WA About the Role. . . This role requires an in-depth understanding of statistics, as well as basic programming and data management skills. Success will require strong statistical problem-solving skills and the ability to leverage cutting-edge big data technologies. You like to . . . Creat e framework
Job Source: Logic20/20 CareersStarbucks
Seattle, WA, United States
Now Brewing – Data Scientist #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As a Data
Job Source: StarbucksSalesforce
Bellevue, WA, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every
Job Source: SalesforceSeattle, WA, United States
Responsibilities: Job Summary This position requires working with a dynamic and interdisciplinary group of scientists across multiple organizations as part of a large NIH-funded contract. Your primary responsibility is to support FAIR data management and sharing within the consortium, and with the public domain. The consortium is heavily focused on host-pathogen interaction, and the majority of the data generated relates to immunology-based assays. This position requires an ability to develop data management tools for specialized data entry for immunology, clinical and, -omics based assays. The position requires skills in data science, and computer science, particularly as they apply to the management of complex biological and clinical research data. The ideal candidate is a strong proponent of Open Science and has a good understanding of experimental design in the life sciences and high-throughput OMICs to ensure that the data and relevant metadata is appropriately captured to maximize data reuse. The role requires clear and consistent communication and co-ordination with consortium scientists to (1) identify data for inclusion in the consortium's repository, and (2) assist with data preparation and upload. Knowledge, Skills and Abilities Basic knowledge of standard principles, theories and concepts related to immunology research. Proficient oral and written communication skills; able to work collaboratively in a team environment. Understanding of FAIR data sharing principles and experience implementing strategies to improve data sharing in alignment with FAIR principles Experience tracking and sharing experimental metadata Proficient planning skills, able to manage multiple projects with competing priorities/deadlines, and to work in parallel with different teams to move multiple projects forward simultaneously. Able to establish and maintain professional working relationships with scientists. Able to occasionally work outside standard business hours in order to liaise with international consortium members. Able to work on projects and other assignments with limited direct supervision. Effective problem-solving skills, attention to detail and ability to learn new analytic skills. Essential Job Functions 1. Manage consortium's data repository: in collaboration with Data Scientists (at the Gale Lab) work with stakeholders to design, implement, modify and maintain a data repository used for internal data sharing within the program. in collaboration with scientists, adapt and develop data entry templates for different experimental platforms and metadata Work closely with scientists and PIs to identify and release data that needs to be shared publicly in accordance with NIH Data Sharing policy Liase with larger consortia data repository scientists to facilitate data sharing between consortia. 2. Maintain an up-to date data repository: actively solicit new data entries and regularly update the repository work closely with scientists to identify the appropriate metadata required for individual experiments co-ordinate directly with consortium scientists to support ongoing data entries, including providing basic training, performing quality control, and investigating problematic data entries. 3. Participate in project management efforts: Develop work plans, identify resource requirements, and develop work schedules. Provide detailed quarterly reports of data sharing projects, ensuring information is presented in appropriate language for clear communication to team members. Communicate projects' schedules and track project progress and success. Recommend and create documentation for best practices for data sharing Solicit and provide feedback of implementation of data sharing projects to improve processes. Demonstrate initiative and innovation by proactively identifying opportunities for improved efficienc
Data Scientist I jobs in Seattle, WA, United States
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