Data Scientist, Research Data Insights

1 week ago

New York, New York, United States Digital Science Full time
About the Role

At Digital Science, we are advancing the research ecosystem by creating innovative tools and working in partnership with the community to tackle some of the biggest challenges to research. We are seeking a talented Data Scientist to join our team and support our global customers through the development of new analytic approaches and capabilities leveraging our scientometric data sets and emerging knowledge graph ecosystem.

Key Responsibilities

Conduct large-scale, quantitative data analysis (millions of records) potentially including custom indexing, data linking, data collection and other data wrangling using Dimensions in-house data assets and external or customer data sets as required.
Leverage Large Language Models and other AI technologies to address customer analytical needs, identifying opportunities to incorporate these tools into analytic workflows and customer facing applications.
Plan, design, maintain and document data integrations, pipelines, internal use utilities, tools and software packages to support our advanced analytic capabilities.
Build machine-learning models that operate on large, text-based documents (10s - 100s of millions of documents), for a variety of applications including named entity resolution, relationship extraction, document clustering and topic modeling.
Create and deploy visualizations and interactive web-based dashboards, using tools such as Plotly, Dash, and React.

Requirements

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.
Familiarity with knowledge graphs (including technologies such as RDF and SPARQL). Ideally, experience building and querying knowledge graphs in support of analytic workloads leveraging bibliometric/scientometric data sets.
Experience in Python, including relevant Python libraries and modules such as pandas, scikit learn, gensim, transformers, pyTorch and Dash.
Familiarity with commercial AI models like GPT, Bard or Palm and ideally experience working with LLM support toolkits such as LangChain, Guidance, and Haystack.
Experience with data visualization tools (Plotly, D3, matplotlib etc)
Thrive in an environment where you can work independently and remotely
Previous experience of working globally and across multiple teams
Strong communication skills and able to communicate findings to a varied audience through written and verbal presentation
3-5 years of experience delivering customer solutions.

What We Offer

A dynamic team environment with opportunities for growth and development
A competitive salary and benefits package
The chance to work on cutting-edge projects and technologies
A collaborative and inclusive work environment
Opportunities for professional development and training

How to Apply

If you are a motivated and talented individual who is passionate about data science and research, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and a cover letter, to us. We look forward to hearing from you

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