Senior Data Scientist (AI/ML/NLP)

TL;DR

Senior Data Scientist (AI/ML/NLP): Building and optimizing machine learning and statistical models, leveraging AI/LLM frameworks to solve business problems and extract actionable information from diverse data. Focus on designing and leading experiments, partnering with engineering teams, and driving team innovation in areas like NLP, information retrieval, and knowledge graphs.

Location: Onsite in Arlington, United States

Company

hirify.global, an affiliate of Bloomberg L.P., is a leading source of legal, tax, regulatory, government, and business information for professionals.

What you will do

• Write code (Python, R, SQL, Java) to obtain, clean, manipulate, and analyze data.
• Drive the development of machine learning and statistical models to solve specific business problems.
• Leverage AI/LLM frameworks to develop internal and external solutions.
• Lead experiments to test hypotheses and measure the effectiveness of solutions.
• Take ownership of technical solutions and direct machine learning strategy for the team.
• Drive team innovation through training, mentoring, and knowledge-sharing.

Requirements

• Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 7+ years of applied data science experience working with large projects and diverse data sets.
• Strong proficiency in Python and SQL, R, or Java, and experience with data analysis libraries (pandas, NumPy, scikit-learn).
• Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker) and cloud-based computing (Apache Solr, Lucene, or Elasticsearch).
• Extensive knowledge of ML algorithms (KNN, Naive Bayes, decision trees, ensemble models, clustering) and NLP processing techniques (including topic modeling and summarization).
• Knowledge of advanced concepts such as weakly supervised learning, reinforcement learning, and deep learning.

Culture & Benefits

• Maintains a continuing policy of non-discrimination and equal opportunity in employment.
• Committed to attracting, retaining, developing, and promoting the most qualified individuals.
• Opportunity to bring and evangelize new ideas within the team.
• Champion collaboration across teams and maintain a portfolio of self-directed projects.