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The Cash App Data Science (DS) organization is growing and we are looking for a Data Scientist to join the team, embedded within our Sales and Account Management domain. Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc.
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Advanced knowledge of data mining tools and analyses tools such as Spotfire and PowerBI. The Director, Safety Scientist supports assigned compounds in conjunction with Product Safety Leads (PSLs) and leverages clinical and scientific expertise to lead the detection of safety signals, evaluation of safety data, assessment of safety risks, responses to regulatory inquiries, and regulatory-required periodic reporting.
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Grounded in our core values of community, integrity, agency, love, and social justice rooted in the Expeditionary Learning Education Model, LCPS is a leader in fostering innovative schools achieving exceptional student outcomes where each child is at the center of their own learning.
$65,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Address large scale challenges in the machine learning development cycle, especially around distributed training in the cloud and data engineering. Contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. distributed training, continuous model integration, data management, and evaluation of production systems.
$180,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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The Expert Program Manager will be responsible for managing day-to-day functions of the Remote Sensing program – a critical program designed to effectively collect and provision Remote Sensing data (e.g., LiDAR and LiDAR-derived data, satellite imagery, high-resolution oblique and orthographic imagery, etc) required to support EAM’s strategic objectives.
$122,000 - $194,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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These algorithms span a wide range of product facets, from machine learning algorithms that drive the core life-saving functionality of our wearable devices to field data analysis algorithms that provide critical insight into product usage, patient experience, potential improvements, and new products.
$190,000 - $220,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: The postdoctoral scholar will be expected to work as part of a team to support diverse participatory science projects as they onboard and use the FieldScope data collection and analysis platform, recruit new projects to the platform, lead the testing of the platform as it is updated and refined, and co-develop data literacy teaching and learning materials with the FieldScope team and collaborators.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. The Underwriting systems engineering team is the main interface between the world of ML and product engineering, and as such your work will include everything from backend engineering, developing data pipelines, to creating features, and working with rules engines.
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As a member of the AI Lab in Autodesk Research you will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning, computer vision, reinforcement learning, information retrieval, and natural language processing.
$107,100 - $184,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Flavorist will work cross-functionally in a lab environment and coordinate with other lab personnel to conduct experiments, gather data, and report the results. Strong analytical skills, specifically the ability to connect scientific data to real tangible meaning in the food and beverage products you analyze.
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Key ResponsibilitiesLeading Data Science Projects: Manage the delivery of data science projects, working across several clients in the US.Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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About The RoleAs a Distinguished Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$247,800 - $371,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a member of our integrated design team, you will be committed to continuous learning in support of resilient, community-centered and culturally equitable design with a focus on site planning and landscape design.
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Fluency in (or desire to learn) data analysis skills and tools, such as SQL / R / Python. Manage cross-functional work streams with our customer support, data science, compliance, and engineering teams to improve the merchant experience and grow capital originations.
$90,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Capital One is seeking a product owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking. Drive performance and innovation with data-driven insights.
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learning data mining jobs Title: machine learning scientist in San Francisco, CA
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
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