Data Scientist (NLP)
Remote - United States
Applications have closed
FiscalNote
The #1 most trusted partner for managing the global issues and policy affairs that present the biggest risks and opportunities to your organization.About the Curate TeamCurate helps businesses efficiently monitor risk and find opportunities through municipal data - at scale. We scan thousands of local government websites looking for meeting minutes and agendas where decisions are made that impact our business customers. Based in Madison, WI the 25-member Curate team works collaboratively to ensure we’re always improving the product for our customers.
About YouYou will be a part of the team that builds statistical, NLP, and ML-enabled services for intelligent data aggregation, manipulation, augmentation, and generation. As a part of FiscalNote, You'll get the opportunity to work at an institution pushing the boundaries of open data transparency, while collaborating with some of the industry’s brightest engineers and data scientists to devise, nurture, and implement cutting-edge solutions to continuously evolving engineering obstacles.
What To Expect in this Position:
- Research and prototype ML & NLP models using the latest AI technologies and frameworks to better and improve Curate’s data review process, such as text extraction, tokenization, NER, POS tagging, and classification methods, as well as enhancing existing models.
- Work on developing and architecting end-to-end pipelines around our models, such as establishing data standards, evaluation metrics, and KPIs to track overall performance over time.
- Explore new data sources for integration with current data and new types of analysis, and spend time developing algorithms to analyze patterns and insights from very large datasets.
- Work with the management team and understand Curate's business needs in order to recommend, prototype, and productionalize new machine learning-based automated solutions.
What Sets You Apart:
- 2-4 years of industry experience (or equivalent) developing machine learning solutions. Advanced degree in Computer Science/Statistics/Applied Math/Economics/Political Science (or related discipline) preferred
- Practical experience and strong understanding of techniques in machine learning (feature engineering, supervised & unsupervised learning, optimization algorithms, deep learning) and natural language processing (TFIDF, text classification, word embeddings, language models), demonstrated by the ability to dig deep into practical problems and choose the right ML method to solve them
- Solid Python programming skills to quickly prototype, as well as develop, projects into production.
- Experience with any modern machine learning frameworks such as Scikit-Learn, Pytorch, Tensorflow, or Spacy is highly desirable. Experience acquired in an academic setting is acceptable.
- Experience working with large structured or unstructured data sets and running exploratory data analysis. Experience with MongoDB is not required but is a plus. Experience with Databricks is a plus.
- Good communication skills, including the ability to present and communicate machine learning requirements and issues to non-technical teams.
About FiscalNote FiscalNote is the premier information services company focused on global policy and market intelligence. By combining AI technology, expert analysis, and legislative, regulatory, and geopolitical data, FiscalNote is reinventing the way that organizations minimize risk and capitalize on opportunity.
Home to CQ, Roll Call, Oxford Analytica, and VoterVoice, FiscalNote empowers more than 5,000 clients worldwide to monitor, manage, and act on the issues that matter most to them. To learn more about FiscalNote and its family of brands, visit FiscalNote.com and follow @FiscalNote.
At FiscalNote, we Lead with ValuesKnow your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family
FiscalNote is continuing to hire new talent, with all interviewing and on-boarding done virtually due to COVID-19. New team members, along with our current staff, will temporarily work remotely (unless communicated otherwise).
If your background and experience align with the competencies above, we encourage you to apply so that we can review your experience and learn more about how you can add to FiscalNote’s growth and success.
Company BenefitsFiscalNote offers competitive salaries, equity packages, and retirement accounts to ensure we’re all FN owners. We work hard, so our open vacation policy helps us ensure you’re getting the R&R you need. We offer comprehensive health, vision, and dental insurance options supplemented by a flexible spending account (FSA). We have a slew of other benefits which you can check out at careers.FiscalNote.com.
FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.
FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Computer Science Data analysis Databricks Deep Learning Economics EDA Engineering Feature engineering KPIs Machine Learning ML models MongoDB NLP Pipelines Python PyTorch R Research Scikit-learn spaCy Statistics TensorFlow Unstructured data
Perks/benefits: Career development Flex hours Flexible spending account Flex vacation Health care Insurance
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