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Open 4 months, first seen by us 126 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design, develop, and implement advanced ML, optimization, neural network and AI models
Translate business stakeholder needs into defined problem statements and data science solutions
Analyze large, complex datasets to uncover trends and support data-driven decisions
Build proofs-of-concept, prototypes, and scalable solutions that demonstrate business value
Prepare and review technical design documentation
Design, develop, and implement advanced models in machine learning, optimization, neural networks, and AI domains such as computer vision.
Partner with business stakeholders to understand requirements, define problem statements, and translate them into effective data science solutions.
Analyze large and complex datasets to uncover trends, generate insights, and support data-driven decision-making using statistical techniques.
Develop proof-of-concepts, prototypes, and scalable solutions that clearly demonstrate business value.
Prepare and review technical design documentation, ensuring clarity, quality, and alignment with architecture standards.
Preferred Qualifications * Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * Work experience involving machine learning, computer vision, generative AI, data analytics, or predictive modeling in the domain of Product Test Engineering/Semiconductor Manufacturing * Exposure to cloud platforms, data engineering concepts, databases, or model deployment practices. * Experience with data visualization tools such as Power BI, Tibco Spotfire, or Python visualization libraries. * Familiarity with AI domains such as deep learning, computer vision, optimization, or large language models (LLMs). ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.
Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 126
Up longer than most. Similar jobs usually come down between day 7 and day 57.
Well past STMicroelectronics’s usual: its jobs come down by about day 19.
From 10,815 similar postings that came down, and 15 of STMicroelectronics’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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YOUR SKILLS & EXPERIENCES * Proven experience in developing and deploying machine learning models and AI solutions in a production or business environment. * Strong knowledge of statistical methods, data analysis, and predictive modeling techniques. * Proficiency in programming languages such as Python and familiarity with relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Experience working with large-scale datasets, data processing tools, and cloud platforms is an advantage. * Hands-on experience with AI domains such as GenAI, optimization, or deep learning is preferred. * Solid understanding of data engineering concepts, data pipelines, and model deployment practices is a plus. * Strong problem-solving skills with the ability to translate business needs into technical solutions. * Excellent communication skills, with the ability to present complex insights clearly to both technical and non-technical stakeholders. * Ability to work effectively in cross-functional and global teams. Preferred Qualifications
Preferred Qualifications * Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * Work experience involving machine learning, computer vision, generative AI, data analytics, or predictive modeling in the domain of Product Test Engineering/Semiconductor Manufacturing * Exposure to cloud platforms, data engineering concepts, databases, or model deployment practices. * Experience with data visualization tools such as Power BI, Tibco Spotfire, or Python visualization libraries. * Familiarity with AI domains such as deep learning, computer vision, optimization, or large language models (LLMs). ST is proud to be one of the 17 companies certified as a 2025 Global Top Employer and the first and only semiconductor company to achieve this distinction. ST was recognized in this ranking thanks to its continuous improvement approach and stands out particularly in the areas of ethics & integrity, purpose & values, organization & change, business strategy, and performance.
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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