Data Scientist-Machine Learning
SAN JOSE 10, United States
Full Time Mid-level / Intermediate USD 82K - 153K
Cadence Design Systems
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job involves analyzing foundry partner provided data on yield and manufacturing metrics, reformatting it into formats usable by Cadence Pattern Analytics and DFM solutions. Once the static data-reorganization is implemented, role will evolve to creating a cross-organizational secure network based data-link to exchange data between design-houses and foundry partner.
- MS Degree: 2+ years of related experience with applied problems
- Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments
- Experience developing, evaluating, and implementing machine learning models
- Experience working in cloud environments or working
- Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics
- Knowledge of software development, machine learning, and technology infrastructure
- Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks
The annual salary range for California is $82,600 to $153,400. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
We’re doing work that matters. Help us solve what others can’t.
Tags: Machine Learning ML models Python R SQL Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Salary bonus
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