Data Scientist

Summary

Join Data Society as a Data Scientist and leverage your expertise in statistical analysis, data mining, data engineering, and AI to build comprehensive business analytics and IT solutions. This customer-facing role requires collaboration within a cross-functional team, strong communication skills, and the ability to manage timelines effectively. You will build data pipelines, develop AI applications using LLMs and RAG, and perform complex data analysis to present insights to both technical and non-technical audiences. US citizenship is required due to federal contract security requirements. This remote position offers flexibility within the USA, with a preference for candidates near Washington, DC, and a competitive hourly rate.

Requirements

• Possess an Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical disciplines
• Have 5+ years of relevant data science and analytics experience
• Demonstrate expertise with SQL, R and Python, and other scripting and statistical programming languages
• Have experience with use of large cross-sectional and time series data, with a strong foundation in statistical concepts
• Be proficient in analyzing textual data using the latest NLP techniques
• Be experienced in building RAG powered LLM applications
• Be skilled in developing and maintaining data pipelines and ETL processes for data preparation
• Be proficient in leveraging AWS tools for data integration, orchestration, and machine learning development and deployment
• Be a US Citizen
• Possess excellent communication skills with the ability to work independently and collaboratively across functions, demonstrating strong problem-solving and critical thinking abilities

Responsibilities

• Build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis
• Demonstrate strong working experience with descriptive and predictive data mining tasks as well as key algorithms including ML and NLP-based learning techniques
• Understand and develop quantitative simulations and models as part of larger decision systems
• Develop and build modern AI-based applications using LLMs, RAG, and modern cloud tools
• Identify and incorporate new data sources into centralized, interoperable data stores via a variety of techniques including web scraping, APIs, secure file transfer, etc
• Perform sentiment analysis, topic modeling, and text classification to understand opinions, identify trends, and extract key themes
• Identify and present insights, trends, and problems through complex big data analysis to both technical and non-technical audiences
• Create clear and compelling visualizations to communicate data-driven insights to stakeholders

Preferred Qualifications

Have familiarity with analytic tools such as PowerBI and Tableau

Benefits

• Remote work anywhere within the USA (preference given to candidates in or near Washington, DC)
• Salary range between $100/hr - $120/hr
• Contract duration of approximately 12 months, with at least 9 months of full-time work (40 hours per week)