Address
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
- Engage with internal stakeholders to ensure analytic solutions align with their needs and deliver tangible results.
- Translate real-world business challenges into analytical frameworks.
- Utilize a diverse skill set, including data mining, machine learning, statistics, visualization, and more.
- Collaborate with teams to gather, refine, and harmonize data, ensuring its readiness for analysis.
- Simplify complex results, avoiding excessive technical jargon, and employ tools and cloud services like Python, R, SQL, and AWS.
- Data Analysis & Model Development: Craft machine learning models and products, ensuring their technical robustness and relevance to business users.
- Solution Deployment: Design, develop, and roll out end-to-end machine learning solutions to address multifaceted business issues.
- Tool & Framework Selection: Choose the right tools (AWS Sagemaker preferred), techniques and frameworks for data science projects, particularly those related to demand forecasting.
- Quality Assurance: Guarantee the precision and reliability of data science outputs through meticulous validation, testing, and performance tracking.
What your background should look like:
- At least 3-5 years of experience in data science, machine learning, or related fields.
- Proficiency in programming (Python or R) and familiarity with essential data analysis tools and libraries.
- Demonstrated expertise in machine learning and AI techniques.
- Exceptional problem-solving abilities and a knack for innovative solutions.
- Stellar communication skills, with a history of conveying complex ideas effectively.
- A proven record of delivering data science projects efficiently.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
