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Quantifind's Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques. You will work closely with the Customer Success, Product, Data Science and Engineering Teams to ensure Quantifind meets its customer commitments within project and contractual timelines.
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John Hancock, committed to data-driven solutions, is seeking data scientists or computer visions engineers who can design and implement image processing solutions to enhance operational workflows and fraud detection.
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5+ years of experience providing research and/or data support in business, finance, economics, and/or other social science research environments required. Expert knowledge of financial data platforms such as Bloomberg, Capital IQ, Refinitiv, WRDS, FactSet, and/or other business information platforms.
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Bachelor’s degree in Industrial / Organizational Psychology, Statistics, Data Science, Computer Science, or a related field; Master’s degree preferred. Sompo is offering a distinctive opportunity for a Senior Global HR Data Analyst within our Talent Management Center of Excellence, situated in our Global Human Resources team.
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Utilize GCP services such as BigQuery, Google Cloud Storage, Dataflow, and data processing and storage. With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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6+ years of prior work experience with text data and advanced natural language processing (NLP). The Asset Management Technology, Quant Development Data Science Team is seeking a highly motivated and technically proficient Director of Data Science who is passionate about applying new AI technologies in the finance domain.
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Department Customer Success & Project Management Locations Boston Remote status Fully Remote Employment type Full-time. We are seeking a full-time employee for a fully remote position, ideally based in the Eastern Time Zone (EST) to effectively support clients across different time zones.
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The AD of Commercial Analytics, Patient Insights will report into the Director of Commercial Analytics, Patient Insights and work closely with GPS leadership, GPS operations and business systems teams, the Vertex data science and technology teams, and offshore contractors to deliver national, regional, account, and PSS level analyses and insights.
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Basic knowledge of the following – Supervised and Unsupervised Learning including Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models as well as NLP (Natural Language Processing.
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Relevant certifications such as CISSP, CCNP, AWS Certified Solutions Architect, or ITIL are a big plus. Leverage In-depth knowledge of Data Recovery, Business Continuity Plans, critical infrastructure management, incident response, vulnerability management, and data protection to ensure Voyager's security.
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Master in Computer Science Budget Management experience Prior pharmaceutical or biotech data and analytics experiences with familiarity of commercial data sets and processes Additional Languages: R, Javascript Understanding of additional AWS services (i.e. Glue, Athena, etc.
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Employment Type: Full Time; Direct Hire. PhD in crop science, soil science or a scientific related field. Master’s degree in crop science, soil science, or a related scientific field with 3-5 years of experience within a research-intensive soil science role.
$75,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone.
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Our investment ecosystem and scale allow alternative investors to partner with world class investment research experts across fundamental equity, credit, fiscal/monetary economics, derivatives, rates, risk, data science, climate, sustainability, and many others.
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big data science full time natural language processing jobs in Somerville, MA
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