Senior Data Scientist
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Looking for a data scientist job in Sunnyvale? Choose from 22 open roles at 6 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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In the week to 27 September, 17 data scientist roles were open in Sunnyvale at 6 employers. 10 new roles were posted during the week. Of the roles that say how they work, 18% are remote or hybrid.
Among the data scientist roles listed on the board for Sunnyvale, the split between seniority levels is notable: senior roles account for roughly half of those stating a level, lead roles for a large share, and a small minority are internships. This suggests employers here are largely looking for experienced practitioners rather than entry-level candidates. A striking majority of the open roles were posted within the current week, meaning the listings are very fresh and competition for them will be immediate. Hiring is highly concentrated, with the vast majority of listed roles sitting with just a handful of employers. There is not yet enough weekly history to describe how the volume of openings has moved over time.
Figures are measured every Monday.
Data scientists build models and analytical pipelines that turn raw data into decisions and products. The work typically spans exploratory analysis, feature engineering, model training and evaluation, and communicating findings to technical and non-technical stakeholders. In a city whose employers include global professional-network platforms, AI hardware companies, chip-design software firms, defence contractors and a nearby NASA research centre, the problems data scientists encounter range from large-scale user behaviour modelling and recommendation systems through to hardware performance analysis, semiconductor yield optimisation and applied research in autonomous systems. Teams are usually cross-functional, pairing data scientists with engineers, product managers and domain experts, and practitioners often sit close to the product or research group they serve.
Statistics appears in effectively all of the descriptions listed here, making it the clearest foundation employers expect. Python is mentioned in nearly all of them and SQL in most, so fluency in both is close to universal. Big-data tooling such as Spark and cloud platforms appear in a meaningful share of descriptions, as do A/B testing and model-evaluation methods. A smaller but notable portion of descriptions mention deep-learning frameworks such as PyTorch and TensorFlow, pointing to machine-learning engineering crossover in some roles.
On-site working is strongly dominant among the roles listed here that state a work mode, accounting for the large majority. A small share are described as hybrid. None of the roles currently listed state a fully remote arrangement. Candidates should expect that most positions will require regular physical presence at an employer's Sunnyvale site.
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