IBM is hiring fresher’s and experienced candidates for the role of Advisory Data science Engineer. The complete details about role are as follows.
IBM Career 2025 | Advisory Data science Engineer
Company : IBM
Role : Advisory Data science Engineer
Degree : Any Bachelor’s or Master’s Degree
Batches : 2024,2023,2022,2021,2020
Experience : 1 – 3 Year’s
Salary : 5 – 12 LPA* (Expected)
Location : Bangalore, India
Job Description:
We are seeking highly motivated Data science engineer to be part of Hardware team. Join a great team of engineering professionals who are involved in data analysis for IBM’s chip design team.
Qualifications & Skills :
Bachelor’s Degree
Preferred education : Master’s Degree
Required technical and professional expertise
- Strong foundation in probability, statistics, hypothesis testing, and experimental design.
- Hands-on experience in creating plots and charts to find out insights, patterns, trends and outliers .
- Proficiency in Python and libraries like Pandas, NumPy, SciPy, scikit-learn, and matplotlib/plotly.
- Hnads – on experience in SQL, Statistics, Plotting (python or tools like tableau, powerBI), ML
- Experience in collaborating with design and reliability hardware teams.
- Knowledge of SQL to query large volume of wafer/chip level data and ability to manage large-scale structured/unstructured datasets.
- Experience in building data pipelines and dashboards for monitoring of test results and performance metrics and communicate findings through clear visualizations, reports, and presentations .
- Demonstated understanding to connect data insights to yield, defects, and performance factors
- Knowledge of Machine leaning for yield prediction, defect detection, and performance correlation and yied improevement
- Proficient analytical skills for problem-solving
- Excellent team player and good communication skills
Preferred technical and professional experience
- Knowledge in VLSI domain and concepts is an advantage
- Understand of basic concepts in semiconductor industry and hardware test data analysis.
Roles and Responsibilities :
- Conduct data analysis for IBM’s chip design team, focusing on yield prediction, defect detection, and performance correlation.
- Query large volumes of wafer/chip-level data using SQL and manage large-scale structured/unstructured datasets.
- Build data pipelines and dashboards to monitor test results and performance metrics.
- Create plots and charts to identify insights, patterns, trends, and outliers.
- Apply Machine Learning techniques for yield prediction, defect detection, performance correlation, and yield improvement.
- Collaborate with design and reliability hardware teams to connect data insights to business impacts like yield and defects.
- Communicate findings through visualizations, reports, and presentations to stakeholders.
- Perform hypothesis testing, experimental design, and statistical analysis to solve complex problems.
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About IBM :
IBM (International Business Machines Corporation) is a global technology and consulting company founded in 1911, headquartered in Armonk, New York. With over 288,000 employees worldwide, IBM leads in hybrid cloud, AI (including watsonx), quantum computing, and data analytics. It helps clients across industries reinvent their businesses through innovative solutions, emphasizing trust, transparency, and sustainability. IBM’s commitment to skills development includes programs like IBM SkillsBuild, and it ranks highly in diversity and innovation.