SR DATA SCIENTIST
At a glance
Senior Data Science role at TE Connectivity. Bangalore.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Prepare data from multiple sources, then explore it for findings that can shape engineering and product choices
- Build reusable analytical workflows and deploy predictive models for classification, regression, clustering and anomaly detection
- Check and improve model performance using statistical and machine learning methods for engineering or operational problems
- Create dashboards and explain findings as practical recommendations for technical teams and leadership
- Work with engineering, software and product teams to put models into production, while coaching junior analysts and data scientists
What you bring
- A technical degree in a related field, with experience thresholds of five years for a bachelor’s, three for a master’s or none for a PhD
- Strong grounding in statistical modeling, machine learning and data analysis, plus programming ability in Python, R or a similar language
- Experience handling large datasets and complex analytical work, and using Tableau, Power BI or another listed visualization tool
- Clear communication and presentation skills, with the ability to run projects independently and shape technical decisions
Who this fits
This senior role suits someone who can turn complex engineering or operational data into models and actionable findings, and guide junior team members. Expect travel to customer, conference, partner and development-site locations for ten to twenty-five percent of the role.
From the employer
Job Overview
The pace of innovation in artificial intelligence, machine learning, and advanced analytics continues to accelerate, and the Data and Devices Business Unit is at the center of this transformation. Our customers are building intelligent systems that redefine how data is processed, analyzed, and used across compute, networking, and cloud infrastructure. At TE Connectivity, we support this evolution by applying data science and analytics to drive insights, improve engineering productivity, and enable next-generation products.
This role is a strong fit for someone with a solid analytical and statistical foundation who is eager to apply data science techniques to real engineering and business problems. You will work closely with engineers, machine learning engineers, and cross-functional teams to analyze data, develop predictive models, and generate insights that support product development and operational decision-making.
Job Responsibilities
Advanced Data Collection and Analytics
• Design data collection and preparation strategies across multiple datasets and systems.
• Lead exploratory data analysis to uncover insights that influence engineering or product decisions.
• Develop reusable analytical pipelines and data science workflows.
Predictive Modeling and Machine Learning
• Develop and deploy predictive models using machine learning techniques such as classification, regression, clustering, and anomaly detection.
• Evaluate and optimize model performance using statistical and machine learning techniques.
• Apply advanced modeling techniques to solve complex engineering or operational problems.
Data Visualization and Communication
• Develop dashboards and visualization tools that communicate analytical insights to leadership and technical teams.
• Present analytical findings in a clear and actionable format.
• Translate complex analysis into business and engineering recommendations.
Cross Functional Collaboration
• Partner with engineering, software, and product teams to implement analytical models into production systems.
• Collaborate with stakeholders to identify opportunities where analytics can improve product performance or operational efficiency.
• Provide guidance and mentorship to junior data scientists and analysts.
Required Skills & Competency
• Bachelor’s with 5+ years, Master’s with 3+ years, or PhD with 0+ years of experience in Computer Science, Data Science, Statistics, Mathematics, Electrical Engineering, or a related technical discipline.
• Strong experience in statistical modeling, machine learning, and data analysis.
• Strong programming skills in Python, R, or similar analytical programming languages.
• Experience working with large datasets, data science libraries, and complex analytical problems.
• Experience using visualization tools such as Tableau or Power BI.
• Strong communication and data storytelling skills.
• Ability to work independently on analytical projects and influence technical decisions.
• Excellent presentation and stakeholder management skills.
• Ability to travel 10% to 25% to customers, conferences, partner locations, and TE development sites.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
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