TE Connectivity
4 weeks ago
About the job: 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.
- 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.
- Communication: Articulate intricate data science concepts and findings to a varied audience, ensuring clarity for both technical and non-technical stakeholders.
- Continuous Learning: Stay updated with the latest in data science, machine learning, and AI.
- Proactively seek opportunities to incorporate novel techniques in demand forecasting.
- Team Culture: Promote a culture of continuous learning, innovation, and collaboration within the team and the broader organization.
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 Integrity, Accountability, Inclusion, Innovation, Teamwork
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