Sr. Data Scientist
Bangalore, KA, IN, 560076
TE Connectivity
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.
- Mentor and guide other data scientists.
- Review and approve the code developed as part of solution development.
- Collaborate with the Enterprise Data Scientist team and stay updated on the latest recommendations and best practices.
- Contribute to defining best practices.
- Simplify complex results, avoiding excessive technical jargon, and employ tools and cloud services like Python, R, SQL, and AWS.
What your background should look like:
- A B. Tech or 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 5 years of relevant 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, TeamworkABOUT TE CONNECTIVITY
TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries. TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data analysis Data Mining Engineering Industrial Machine Learning Mathematics Physics Python R SQL Statistics
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