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Data Scientist

Remote:

Full Remote

Contract:

Full time

Salary:

110 - 140K yearly

Experience:

Mid-level (2-5 years)

Work from:

District of Columbia (USA), United States

Offer summary

Qualifications:

Advanced Degree in Statistics, Data Science or related field, 5+ years of relevant data science experience, Expertise with SQL, R, Python, Experience with textual data and NLP techniques, Familiarity with AWS tools for ML development.

Key responsabilities:

Build a full data pipeline for analytics
Develop AI-based applications using modern tools
Identify insights from big data analysis
Collaborate across teams for proposal writing
Create visualizations to convey data insights

Data Society Information Technology & Services Startup https://datasociety.com/

11 - 50 Employees

See more Data Society offers

Job description

We Are:
At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and 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. Data Society Group publishes CDO Magazine, the preeminent global publication for Data Officers. Our executive boards include industry leaders, engineers, and data scientists from across the world. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills.

Job Summary:
The Data Scientist is responsible for combining their expert knowledge in statistical analysis, data mining, data engineering, and artificial intelligence 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 to qualify.

Responsibilities:

Ability to build a full data pipeline 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.
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.
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.

Skills you bring:

Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical disciplines.
5+ years of relevant data science and analytics experience.
Expertise with SQL, R and Python, and other scripting and statistical programming languages.
Experience with use of large cross-sectional and time series data, with a strong foundation in statistical concepts.
Proficient in analyzing textual data using the latest NLP techniques.
Experienced in building RAG powered LLM applications.
Skilled in developing and maintaining data pipelines and ETL processes for data preparation.
Proficient in leveraging AWS tools for data integration, orchestration, and machine learning development and deployment.
Familiarity with analytic tools such as PowerBI and Tableau is a plus.
Excellent communication skills with the ability to work independently and collaboratively across functions, demonstrating strong problem-solving and critical thinking abilities.

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.

This position is flexible to be remote anywhere within the USA, though preference will be given to candidates in or near the Washington, DC area. Base salary will be between $110,000 - $140,000 per year. In addition, this position will be eligible for full benefits including Unlimited PTO, paid holidays in 2025, Healthcare, 401k, Metro Transit subsidy, Paid Parental Leave, and Paid Disability.

Affirmative Action/EEO statement
At Data Society Group, we don’t just accept differences - we celebrate them, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Data Society Group is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Data Society Group does not accept unsolicited resumes from third party recruiters.