Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields wi ...
thin the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
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Job Details. Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following positions in Bellevue, WA. Data Science Manager: Lead the collection, organization, interpretation, and summarization of statistical data to drive the strategic design and development of Meta products. (ref. code REQ-2511-157018: $236,474/year to $279,400/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in...
About the Role. We are looking for a Principal AI Engineer who moves fast, experiments relentlessly, and ships agentic AI systems that solve real problems. Team Dynamic. Who you are. A doer: you're hands-on with code and you experiment daily. Fast and intelligent: you make smart decisions quickly and iterate. Experimentation-obsessed: you validate through building. Comfortable with ambiguity: you forge ahead when the path isn't clear. Position Du...
About The Role. We are looking for a Principal AI Engineer who moves fast, experiments relentlessly, and ships agentic AI systems that solve real problems. Team Dynamic. Who You Are. A doer:you're hands-on with code and you experimentdaily. Fast and intelligent:you make smart decisions quickly and iterate. Experimentation-obsessed:you validate through building. Comfortable with ambiguity:you forge ahead when the path isn't clear. Position Duties ...
About the Role. We are looking for a Principal AI Engineer who moves fast, experiments relentlessly, and ships agentic AI systems that solve real problems. Team Dynamic. Who you are. A doer: you're hands-on with code and you experiment daily. Fast and intelligent: you make smart decisions quickly and iterate. Experimentation-obsessed: you validate through building. Comfortable with ambiguity: you forge ahead when the path isn't clear. Position Du...
About The Role. We are looking for a Principal AI Engineer who moves fast, experiments relentlessly, and ships agentic AI systems that solve real problems. Team Dynamic. Who You Are. A doer:you're hands-on with code and you experimentdaily. Fast and intelligent:you make smart decisions quickly and iterate. Experimentation-obsessed:you validate through building. Comfortable with ambiguity:you forge ahead when the path isn't clear. Position Duties ...
Who We Are. Materialize is the live data layer for apps and AI agents. It lets your team use SQL to transform siloed operational data into up-to-the-second views of your business, helping you operate confidently in dynamic environments. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by G...
Job Details. Location: Bay Area, CA (Onsite/Hybrid). Data Scientist. The preference is for candidates with prior experience in the. music industry. as this would bring relevant domain insights. However, in case such profiles are limited, we can also consider candidates with strong backgrounds in. general marketing analytics. and. e-commerce data science. as these skill sets are equally valuable and transferable to the role. Employers have access ...
Conduct analysis of credit performance data to support the development and optimization of credit risk strategies. Drive channel efficiency and performance improvement for digital acquisition channels. Leverage credit bureau, alternative and channel specific data to enhance decision-making and improve targeting effectiveness. Monitor EMOB and portfolio trends and provide insights to support strategic adjustments and risk management decisions. Col...
Company overview. Consumer Edge ("CE") delivers real-time transaction-based intelligence enriched by AI and deep industry expertise. Our mission is to turn complex consumer and business data into actionable insights. Our technology team is distributed across Europe and the US and is driven by curiosity and rigor. Role summary. As a Staff Data Scientist on the AI Products team, you'll design and evaluate AI systems including chatbots, RAG framewor...
Kontakt.io is building the platform that care operations run on. We reduce waste, cut costs, and improve throughput by automating and orchestrating clinical workflows. Using AI, real-time location data (RTLS), and EHR integration, our platform empowers care teams with self-learning agents that adapt in real time — enhancing operational performance and transforming patient care. We’re trusted by HCA, Dignity Health, Mercy Health, Trinity Health, a...
Position. Data Science. Location. New York, NY. Firm Overview. Walleye Capital is a ~$13 billion multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies. At Walleye, we continuously innovate by focusing on three core princ...
