Data & Research Scientist
Apply NowCompany: Tech Tammina
Location: Warren, MI 48089
Description:
Role: Data & Research Scientist
Location: Warren, MI or Austin, TX (Hybrid)
Duration: Long term
Rate: Market
Only USC/ GC
Key Responsibilities/Accountabilities:
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.
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:
- Must have 8+ years of actual experience
- 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
- R or Python experience is mandatory
- Master's degree in STEM fields required.
- Ph. D in STEM fields preferred.
- Research/Data Science/Analytics Background
- Sharp Technical/Statistical/Math 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 experience preferred, not mandatory
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.