You are a research scientist and engineer who wants to work in the areas of machine learning, natural language processing, information extraction, graphical models, summarization, information retrieval, recommend systems, and/or knowledge graphs. You will bring new ideas, evangelizing them, and shepherding their adoption within the team. You extract and identify relevant, meaningful, and actionable information from structured and unstructured data in real-time and provide advanced ways of accessing this data (such as search, summarization, and recommendations).

What you will do:

• Proactively explore, research, describe, and analyze data. 

• Develop tools and strategies related to text analytics, machine learning, and semantic enrichment 

• Develop and maintain strong working relationships across departments and with key partners and stakeholders. 

• Be tuned in to market trends and emerging technologies to find innovative solutions. 

• Learn cutting-edge research in advanced ML & NLP topics and devise an efficient application for projects. 

• Take ownership of technical solutions and direct machine learning strategy for the team. 

• Drive, design, and develop projects as the principal point-of-contact, with the ability to determine suitable ML models, direct feature engineering processes and negotiate KPIs per business needs. 

• Participates in special projects and performs other duties as assigned. 

You need to have:

• Bachelor’s degree in related field or equivalent experience. 

• 5 years of experience working with large data sets and managing data projects. 

• Experience with programming in Java, Python, SQL. 

• Experience with distributed computational frameworks (YARN, Spark, Hadoop, Kubernetes, Docker), cloud-based computingApache Solr, Lucene, or Elasticsearch). 

• Experience with managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data. 

• Experience with working with state, federal legislative or regulatory data is a plus. 

• Familiarity with SQL and NoSQL data modeling and exploratory data visualization, preferred. 

• Knowledge of advanced concepts such as weakly supervised learning, reinforcement learning, and deep learning, preferred. 

• Extensive knowledge of leading open source data analysis tools, ML libraries, and NLP processing techniques (including topic modeling and summarization). 

• Knowledge of descriptive and inferential statistics, regression, multivariate and univariate hypothesis testing. 

• Excellent understanding of ML algorithms (e.g. KNN, Naive Bayes, decision trees, ensemble models, clustering) and the ability to select best methods for a business problem. 

• Ability to analyze and manipulate unstructured and semi-structured data (text, PDF, JSON and XML files). 

• Experience working with REST APIs (actual REST API development is a big plus) 

Bloomberg Industry Group IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity. Bloomberg Industry Group has adopted an Affirmative Action Program to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, gender identity, sexual orientation, marital or familial status, pregnancy, childbirth, or related medical issues, genetic information, disabled veteran, veteran, a veteran of the Vietnam Era, or any other classification protected by law.