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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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C-Star Solutions is searching for a data scientist to support research and development efforts at National Geospatial-Intelligence Agency (NGA). Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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We have an excellent opportunity for a highly motivated data/curation scientist within our new Oncology Data Improvement group. Normalize and represent test results using clinical data standards such as ICD-O-3, FHIR, mCode, LOINC, ICD-10, UMLS, SnoMED, RxNorm, etc.
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Job description: The Senior Data Scientist will work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data.
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Relevant publications in data visualization conferences (e.g., CHI, UBICOMP, UIST, CSCW, Mobile HCI, InfoVis, EuroVis, VAST, VDS) Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services Bonus: Experience with popular commercial BI and Analytical tools such as Power BI, Tableau, etc.
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Demonstrated leadership capability of executing the AI agenda while managing complex variables including Information and Data Governance, Data Management, Information Security, Privacy & Compliance, Content Life cycle Management, and Records Retention Demonstrated ability to deliver high quality AI solutions in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguity.
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The Data Scientist / Senior Data Analyst is an integral part of the Analytics Team, dedicated to harnessing machine learning techniques for advanced data analysis and predictive modeling.
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The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team. Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc.
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We’re looking for a Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community. Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. We are looking for a Data Scientist to join our Risk Data team. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ's debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Data Scientist II (Onsite) Evolve our data collection capabilities, analytics and reporting process as the business evolves and grows by optimizing strategies, implementing databases, and managing security, data sources and metadata.
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Data Scientist (ML) – Medical Device Cybersecurity – ITmPowered Consulting The Sr. Data Scientist will apply Data Science to enterprise Medical Device Cybersecurity, Network security, Attacks & Events.
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Qualifications Bachelor’s or Master's degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field. Enterprise Cognitive Digital Assistant Services, and AI Service Desk. As an Enterprise ML Developer, we seek an expert in machine learning to help us extract value from our data.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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In your Data Scientist role, you’ll help us deliver better care for billions of people around the world. Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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Title: data scientist Company: Intuit
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