Advisory Data science Engineer @ IBM

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 IBMs chip design team. Required education
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 inPythonand 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 advantageUnderstand of basic concepts in semiconductor industry and hardware test data analysis.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: IBM
Location(s): Bengaluru

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Keyskills:   scipy python scikit-learn numpy pandas data analysis natural language processing neural networks power bi machine learning artificial intelligence sql deep learning tableau tensorflow data science matplotlib keras vlsi ml statistics