Yesterday
Public Trust
Mid Level Career (5+ yrs experience)
No Traveling
IT - Data Science
Washington, DC (On-Site/Office)
Contract: Data Scientist
ClearanceJobs is assisting their partner, a leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations has an immediate opening for an experienced Data Scientist. The right candidate will help support federal contracts with security requirements!
An active Public Trust though DoC or ability to obtain is a MUST to apply!
Terms: W2 Contract (with option to turnover or renew)
Location: Onsite (Washington D.C)
Hourly Wage: $90/hr. - $100/hr.
Job Summary:
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 is necessary.
Skills you bring:
• 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.
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.
• Use managed services within AWS or Azure to process structured and unstructured data into vectorized embeddings for model and search consumption.
• Develop and build modern AI-based applications using LLMs and RAG.
• 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 on insights, trends, and problems through big complex 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.
ClearanceJobs is assisting their partner, a leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations has an immediate opening for an experienced Data Scientist. The right candidate will help support federal contracts with security requirements!
An active Public Trust though DoC or ability to obtain is a MUST to apply!
Terms: W2 Contract (with option to turnover or renew)
Location: Onsite (Washington D.C)
Hourly Wage: $90/hr. - $100/hr.
Job Summary:
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 is necessary.
Skills you bring:
• 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.
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.
• Use managed services within AWS or Azure to process structured and unstructured data into vectorized embeddings for model and search consumption.
• Develop and build modern AI-based applications using LLMs and RAG.
• 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 on insights, trends, and problems through big complex 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.
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