Location
Bangalore | India
Job description
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
Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way.
Roles & Responsibilities
- Data Analysis & Model Development: Craft machine learning models and products, ensuring their technical robustness and relevance to business users.
- Collaboration: Partner with cross-functional teams to discern business requirements and pinpoint opportunities for advanced analytics, especially in demand forecasting.
- 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 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.
- 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.
Experience Required/Desired
- Excellent English language skills, both verbal and written.
- Organized and result oriented.
- Self-motivated and ability to work independently with minimal guidance.
- A master’s or Ph.D. in a relevant field such as Computer Science, Data Science, Engineering, Physics, Statistics or Mathematics.
- AWS Cloud Practitioners Certificate or the ability to obtain it during onboarding.
- At least 3 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
ABOUT TE CONNECTIVITY
TE Connectivity is a global technology leader enabling a secure, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions have been proven in the most demanding environments, enabling advancements in transportation, industrial applications, medical technology, energy technology, data communications, and for the home. With more than 85,000 employees, including more than 7,500 engineers, we work with customers in nearly 140 countries. TE ensures that EVERY CONNECTION COUNTS. Learn more at and on LinkedIn, Facebook, WeChat and Twitter.
WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!
- Competitive Salary Package
- Performance-Based Bonus Plans
- Health and Wellness Incentives
- Employee Stock Purchase Program
- Community Outreach Programs / Charity Events
- Employee Resource Group
Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.
Job tags
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