Text Mining • Incubator • Science • Artificial Intelligence • Machine Learning
501 - 1000
October 11
Text Mining • Incubator • Science • Artificial Intelligence • Machine Learning
501 - 1000
• We are Digital Science and we are advancing the research ecosystem. • We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all. • We believe in better, open, collaborative and inclusive research. • Want to join us? • Dimensions, part of the Digital Science family, is the world’s largest linked research information dataset, covering millions of research publications and connected by more than 1.3 billion citations. • As part of a dynamic team, support global customers through development of new analytic approaches leveraging data sets. • Help manage multi-billion dollar research portfolios by providing delivery excellence that delights customers. • Work closely with team members to harness unique data and product capabilities to address customer needs.
• You will have a good understanding of the S&T ecosystem - funders, research organizations, scientific publishing and related experience working with bibliometric/scientometric datasets such as scientific publications, grants, and patents. • You will have familiarity with knowledge graphs (including technologies such as RDF and SPARQL). Ideally, you will experience building and querying knowledge graphs in support of analytic workloads leveraging bibliometric/scientometric data sets. • You will have experience in Python, including relevant Python libraries and modules such as pandas, scikit learn, gensim, transformers, pyTorch and Dash. • You will have familiarity with commercial AI models like GPT, Bard or Palm and ideally experience working with LLM support toolkits such as LangChain, Guidance, and Haystack. • You’ll be experienced in Natural Language Processing and machine learning methods with bibliometric/scientometric datasets. • You will have experience with data visualization tools (Plotly, D3, matplotlib etc) • You will thrive in an environment where you can work independently and remotely • You will have previous experience of working globally and across multiple teams • You will be a strong communicator and able to communicate your findings to a varied audience through written and verbal presentation • You will have 3-5 years of experience delivering customer solutions.
• We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective. • The talent we secure is fundamental to us achieving our vision and our growth plans. The values we live by are: • We are brave in the pursuit of better • We are collaborative and inclusive • We are always open-minded • We are from and for the community • We're an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Apply NowOctober 9
201 - 500
Data Scientist utilizes machine learning to advance client projects at Excella.
October 8
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Data Scientist III at Availity develops solutions for healthcare engagement.
🇺🇸 United States – Remote
💰 Secondary Market on 2021-07
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🗽 H1B Visa Sponsor
October 8
1001 - 5000
Data Scientist II designs and validates predictive models at CareSource.
🇺🇸 United States – Remote
💵 $69.4k - $111k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
🗽 H1B Visa Sponsor