Technical Data Analyst 4Scientist
Technical Data Analyst 4Scientist
Posted on :
13-11-2024
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
13-11-2024
Job Description
Technical Data Analyst 4/Scientist
Preference local to Warren MI open to Texas (Austin).
Hybrid working onsite 3 days a week (Tuesday Wednesday Thursday) for collaboration.
Contract on W2
Must have 8 years of actual experience
Preferable Michigan/Texas (Austin) Hybrid working onsite 3 days a week (Tuesday Wednesday Thursday) for collaboration
*Research/Data Science/Analytics Background
Preferable Michigan/Texas (Austin) Hybrid working onsite 3 days a week (Tuesday Wednesday Thursday) for collaboration
*Research/Data Science/Analytics Background
*Sharp Technical/Statistical/Math skills
*Strong data storytelling communication and presentation skills
*Strong data storytelling communication and presentation skills
*Displays curiosity and creativity
*Ability to liaise with business leads and create tangible next steps from data to create better business outcomes
*Auto industry preferred not mandatory
*R or Python experience is mandatory
Department: Cadillac Global Strategy & Operations
*Auto industry preferred not mandatory
*R or Python experience is mandatory
Department: Cadillac Global Strategy & Operations
Position: Data & Research Scientist
KEY RESPONSIBILITIES/ACCOUNTABILITIES
Work as an integral member within the 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 KPIs 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.
Conduct Advanced Data Analysis and Automation:
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- Perform indepth analysis and design search patterns.
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- Develop automation tools for data mining and reduction.
- Mentorship and Skill Development:
- Mentor junior researchers and data scientists to enhance their analytical skills.
- Foster a collaborative learning environment within the research and strategy team.
- Stay Informed on Technological Advancements:
- Continuously update knowledge on the latest software and hardware innovations and ideate on how to apply.
- Identify and implement cuttingedge solutions to meet research and strategy objectives.
- Collaborative Research and Statistical Application:
- Establish strong working relationships with interdisciplinary teams including Enterprise Data and Analytics and IT.
- Review research and strategy project requirements and apply appropriate statistical techniques to data.
- Data Collection and Refinement:
- Drive the acquisition of new data and refine existing datasets.
- Ensure data quality and relevance for ongoing research and strategy projects.
- Develop and Communicate Best Practices:
- Create best practices for research instrumentation and experimentation.
- Share these practices with peer teams to enhance research methodologies.
- Support Complex and RealTime Data Processing:
- Develop analytics to support complex event processing and realtime data analysis in big data contexts.
- Subject Matter Expertise in Research Statistics and Data Analytics:
- Serve as an expert in predictive and prescriptive analytics.
- Ensure research aligns with industry best practices and contributes to the fields body of knowledge.
- Data storytelling
- Use a structured approach for communicating data insights with key elements: data visuals and narrative to explain enlighten or engage the audience. The data story is used to drive and influence change.
Additional Requirements
- 8 years of experience using data to solve problems hypothesis testing and create visualizations and storytelling to address business problems
- 8 years of experience in data architecture and data base management
- 8 years of professional development experience
- Solid experience with Big Data technologies in Data Bricks platform using Python/R
- Masters degree in STEM fields required.
- Ph. D in STEM fields preferred.
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Employment Type
Full Time
Key Skills
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