Data Scientist

About Data Society:
At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future.

About the Role:
The Data Scientist is responsible for combining their expert knowledge in statistical analysis, data mining, data engineering, and ML/AI to build complex end-to-end business analytics, artificial intelligence, and IT solutions. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must.

As this position will help to support federal contracts with security requirements, you must be a US Citizen in a commutable distance to Washington, DC to qualify. 

Responsibilities:

• Build end-to-end data pipelines from data ingestion to processing/transformation to load to visualization and analysis.
• 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.
• Use managed services within AWS or Azure to process structured and unstructured data into vectorized embeddings for model and search consumption.
• Utilize advanced NLP techniques such as sentiment analysis, topic modeling, and text classification to understand opinions, identify trends, and extract key themes from diverse text data.
• Implement advanced transformer models and their variants to tackle complex NLP challenges.
• Develop and build modern AI-based applications using LLMs, RAG and other advanced techniques.
• Design and implement AI agents that perform tasks autonomously using reinforcement learning, multi-agent systems, and conversational AI.
• Identify and incorporate new data sources into centralized, interoperable data stores via a variety of techniques including web scraping, APIs, secure file transfer, etc.
• Identify and present on insights, trends, and problems through complex big data analysis to both technical and non-technical audiences
• Collaborate with team members across the company to support client capture, proposal writing, and sales development
• Support the technology team in staying current in emerging tools and techniques in machine learning, statistical modeling, and analytics.
• Create clear and compelling visualizations to communicate data-driven insights to stakeholders.

Qualifications:

• Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical disciplines.
• 5 years of relevant data science and analytics experience.
• 3 years utilizing Python for modeling and data work with strong working expertise in standard libraries such as NumPy, pandas, matplotlib, and scikit-learn.
• 2 years building and maintaining data pipelines in AWS or Azure.
• Expertise with SQL
• Experience with use of large cross-sectional and time series data.
• Experience analyzing textual data using the latest NLP techniques.
• Substantial knowledge and understanding of statistical concepts.
• Demonstrated exceptional oral and written communication skills.
• The ability to work independently and in a team environment.
• The ability to work effectively across functions, levels and disciplines.
• Strong problem solving and critical thinking skills.
• Superior team-working skills, and a desire to learn, contribute, and explore.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

About Data Society Group:
Data Society Group (DSG) prepares organizations to lead in the AI era. Our mission is to develop future-fluent workforces and foster connectivity to a global ecosystem of data and AI experts, peers, and resources.

Our portfolio sits at the intersection of people, data, and AI. It includes:

• Data Society, a leader in delivering applied AI education and custom-built solutions
• The Data Lodge, a pioneer in data literacy and cultural transformation
• CDO Magazine, the trusted voice of global data and AI leadership
• InspiredMinds!, a convening force behind the world’s most inclusive AI community