Research scientist Jobs in Warren, MI
- Promoted
Data & Research Scientist
Tech TamminaWarren, MI, United States
Research Scientist - MR Physicist
Spectrum HealthRoyal Oak, Michigan, United States of America- Promoted
Data Scientist (Remote)
BDSterling Heights, MI, United States- Promoted
Senior Battery Scientist
ACP Technologies IncSt Clair Shores, MI, United States- Promoted
Data Scientist
Toyoda Gosei AmericasTroy, MI, United States- Promoted
- New!
Senior Environmental Scientist
Keystone ConsultantsWarren, MI, United States
Data Scientist
Toyoda GoseiTroy, MI- Promoted
(2025 New Grads)-6G Research Scientist
MediaTekwarren, MI, United States- Promoted
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Principal Research Scientist, Process Engineering and Safety, PSG, PE&SD, ISCE2
Agency for Science, Technology and Research (A •STAR)Singapore, Michigan, Singapore- Promoted
Data Scientist
VirtualVocationsSterling Heights, Michigan, United States- Promoted
Data Scientist
Lipari FoodsWarren, MI, United States
Project Scientist (EIR Scientist) - Remote
AtlasRemote, MI- Promoted
Lead Data Scientist - Remote
RELXMI, United States- Promoted
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Dy Principal / Snr / Research Scientist (Climate Change Impacts Branch) (Contract) New National Env[...]
NYPSingapore, Michigan, Singapore- Promoted
Staffing Research Analyst
PowerwellMichigan, United States, United States- Promoted
Data Scientist
TEPHRATroy, MI, United States- Promoted
Medical Laboratory Scientist
MedTeam StaffingTroy, MI, United States- Promoted
Senior Battery Scientist
ACP Technologies LLCSt Clair Shores, MI, United States- Promoted
Research Physicist
OutlierRoseville, Michigan, USAData & Research Scientist
Tech TamminaWarren, MI, United States- Full-time
Role : Data & Research Scientist
Location : Warren, MI or Austin, TX (Hybrid)
Duration : Long term
Rate : Market
Only USC / GC
Key Responsibilities / Accountabilities :
- Work as an integral member within the Cadillac Global Strategy & Operations Team, with a focus on innovation and analytics providing a key data science component to support the development and execution of global strategy, research, innovation, and operations projects.
- Provide strong connection and support to strategy and operations managers by developing analytical solutions to address and improve KPI's and business results.
- Pursues problem identification and impact across large vehicle populations, leveraging data mining, predictive modeling, simulation, and visualization techniques to further enhance insight and internal performance optimization.
Requirements :
Conduct Advanced Data Analysis and Automation :
o Perform in-depth analysis and design search patterns.
o Develop automation tools for data mining and reduction.
Mentorship and Skill Development :
o Mentor junior researchers and data scientists to enhance their analytical skills.
o Foster a collaborative learning environment within the research and strategy team.
Stay Informed on Technological Advancements :
o Continuously update knowledge on the latest software and hardware innovations and ideate on how to apply.
o Identify and implement cutting-edge solutions to meet research and strategy objectives.
Collaborative Research and Statistical Application :
o Establish strong working relationships with interdisciplinary teams including Enterprise Data and Analytics and IT.
o Review research and strategy project requirements and apply appropriate statistical techniques to data.
Data Collection and Refinement :
o Drive the acquisition of new data and refine existing datasets.
o Ensure data quality and relevance for ongoing research and strategy projects.
Develop and Communicate Best Practices :
o Create best practices for research instrumentation and experimentation.
o Share these practices with peer teams to enhance research methodologies.
Support Complex and Real-Time Data Processing :
o Develop analytics to support complex event processing and real-time data analysis in big data contexts.
Subject Matter Expertise in Research, Statistics, and Data Analytics :
o Serve as an expert in predictive and prescriptive analytics.
o Ensure research aligns with industry best practices and contributes to the field's body of knowledge.
Data storytelling
o Use a structured approach for communicating data insights, with key elements : data, visuals, and narrative to explain, enlighten or engage the audience.
o The data story is used to drive and influence change.