DATA SCIENTIST I
Role Overview
Strong proficiency in Python for data analysis and machine learning. Good knowledge of SQL and relational databases. Understanding of Machine Learning algorithms, including: Regression Classification Clustering
Recommendation Systems:
Time Series Forecasting
Experience with AI/ML libraries such as:
Scikit-learn
Pandas
NumPy
TensorFlow or PyTorch (basic knowledge)
Understanding of statistics, probability, hypothesis testing, and feature engineering.
Data visualization skills using Power BI, Tableau, Matplotlib, or Seaborn.
Basic knowledge of Generative AI and Large Language Models (LLMs).
Familiarity with cloud platforms such as AWS, Azure, or Databricks is an advantage
Full Job Posting
Job Overview
Strong proficiency in Python for data analysis and machine learning. Good knowledge of SQL and relational databases. Understanding of Machine Learning algorithms, including: Regression Classification Clustering
Recommendation Systems:
Time Series Forecasting
Experience with AI/ML libraries such as:
Scikit-learn
Pandas
NumPy
TensorFlow or PyTorch (basic knowledge)
Understanding of statistics, probability, hypothesis testing, and feature engineering.
Data visualization skills using Power BI, Tableau, Matplotlib, or Seaborn.
Basic knowledge of Generative AI and Large Language Models (LLMs).
Familiarity with cloud platforms such as AWS, Azure, or Databricks is an advantage
Responsibilities:
- Develop and validate machine learning models to address business challenges.
- Perform data exploration, cleansing, feature engineering, and model evaluation.
- Analyze large datasets to identify trends, patterns, and business opportunities.
- Support deployment and monitoring of ML models in production environments.
- Build dashboards, reports, and visualizations to communicate insights.
- Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
- Conduct experiments and evaluate model performance using appropriate metrics.
- Document methodologies, assumptions, and results for knowledge sharing.
- Stay updated with new developments in AI, ML, and data science technologies.
- Education & Experience:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
- 0-3 years of experience in Data Science, Analytics, Machine Learning, or AI-related projects.
- Internship, academic, or industry experience in ML/AI projects is preferred.
- Key Qualities:
- Strong analytical and problem-solving skills.
- Curiosity and willingness to learn new technologies.
- Good communication and presentation skills.
- Ability to work collaboratively in cross-functional teams.
- Attention to detail and quality.
- Self-motivated with a continuous improvement mindset.
- Results-oriented and customer-focused.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly 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
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
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.
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
- 0-3 years of experience in Data Science, Analytics, Machine Learning, or AI-related projects.
- Strong analytical and problem-solving skills.
- Curiosity and willingness to learn new technologies.
- Good communication and presentation skills.
- Ability to work collaboratively in cross-functional teams.
- Attention to detail and quality.
- Self-motivated with a continuous improvement mindset.
- Results-oriented and customer-focused.
- Competencies
- Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
Preferred Qualifications
- Internship, academic, or industry experience in ML/AI projects is preferred.
About TE Connectivity
TE Connectivity is a global industrial technology company that designs and manufactures connectors, sensors, and electronic components for diverse industries.
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