Apply Now

Data Scientist

Washington D.C., DC, US • Posted 1 hour ago • Updated 1 hour ago

Contract Corp To Corp

Contract W2

On-site

Depends on Experience

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

Agile
Algorithms
Amazon SageMaker
Amazon Web Services
Analytical Skill
Analytics
Apache Hadoop

Summary

We are looking for Data Scientist for our client in Washington, DC

Job Title: Data Scientist

Job Location: Washington, DC

Job Type: Contract

Job Overview:

Responsibilities:

Develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.
Provide the team with a deep understanding of their data, what it all means, and how they can use it.
Help with discovering the information hidden in vast amounts of data, and help with making smarter decisions to deliver even better products.
Applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with products.
Development new ML model(s) as well as maintaining existing ones and their processes.
Development Gen AI solution using AI platform like AWS Segamaker, AWS Bedrock, AWS AgentCore.
Select features, building and optimizing classifiers using machine learning techniques, data mining using state-of-the-art methods, and, enhancing data collection procedures to include information that is relevant for building analytic systems.
Responsibilities will also include processing, cleansing, and verifying the integrity of data used for analysis and doing ad-hoc analysis and presenting results in a clear manner.
Creating automated anomaly detection systems and constant tracking of its performance.

Requirements:

Master's Degree or Ph.D. in STEM with 2+ years preferred OR Bachelor s Degree in STEM with 7+ years.
Experience in predictive modeling, data science, machine learning, or user and entity behavior analytic development.
Experience in developing predictive, prescriptive, optimization, and forecasting models, including the use of contemporary techniques such as and not limited to support vector machines, neural networks, and gradient boosting.
Experience in developing of Generative AI solution with LLM and custom model to provide AI solution to business.
Experience in interpreting results from statistical and mathematical models.
A minimum of two years experience in applying Data Science/ Analytics to Health Insurance/Health Care related problems/use cases.
At least 1 years focused on applications of Generative AI solution.
Experience in programming languages like Java, Python and/or R for complex data manipulation, statistical analysis, and machine learning.
Experience in Analytic development with streaming and a Hadoop ecosystem (Hive, Spark, etc.)
Experience in SQL, NoSQL, graph-based, Key/Value stores, document stores.
Experience with cloud base data platform like Snowflake and use trainin/build model.
Experience with one or more cloud services (AWS Sagemaker, MS Azure)
Experience applying machine learning to real-world production systems, analytic development based on SparkML and other ML libraries.
Experience in advanced data visualizations and interpretation using data visualization tools is plus (e.g., Tableau, Power BI).
Familiarity with common Linux/Unix command line tasks and version control software like git or svn preferable.
Using and developing statistical analysis, modeling, simulation, and machine learning methods.
Comfort with complex mathematical concepts and models.
Experience with Agile Methodology/Scrum Development and DevOps.
History of solving difficult problems using a scientific approach highly preferred.
Ability to communicate and present the work effectively and influence others.
Ability to work in a fast paced environment and shift gears quickly.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10516350
Position Id: DC_DSTA_0511
Posted 1 hour ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

GenAI/ML Data Engineer - ONLY W2

Hybrid in Washington, District of Columbia

•

Today

ONLY W2ONLY W2ONLY W2 MUST Have GenAI and AWS Sagemaker experience Title: GenAI/ML Data Engineer Location: Washington, DC (Hybrid) Duration: 12 Months Contract Job Description: Terms of employment: W2 contract, 12 monthsHybrid, 3 times a monthOverview: Client Local systems provides Machine Learning service to Client plans to improve claim processing, provider prediction, and automation that reducing human intervention process. As extension of ML/AI service to other business cases and additional

Easy Apply

Contract

Depends on Experience

AI/ML Engineer

Hybrid in Washington, District of Columbia

•

Today

Company Description Lumen SolutionsGroupInc. is a technology consulting Services company based inFlorida. Weprovidea wide array of experienced business and IT professionals supporting clients from solution design to implementation and support.We specialize in professional IT consulting services, IT Staffing, Business/IT Strategy, Business Process Blueprints, Enterprise Architecture, and EnterpriseTransformation. Job Title: Data Scientist/AI/ML Engineer (HealthCare) Location: Columbia, MD / Balt

Easy Apply

Contract

Depends on Experience

Principal Gen AI Scientist

McLean, Virginia

•

30+d ago

**Key Responsibilities: ** * Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases. * Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives. * Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases. * Curate enterprise data using connectors

Easy Apply

Contract

$90 - $100

Principal Gen AI Scientist

Hybrid in McLean, Virginia

•

27d ago

Job Title : Principal Gen AI Scientist Location : 5 days onsite / week in McLean, VA Duration : 6 months contract to HireMust Have Qualifications: Must have hands on experience with machine learning transitioned into GenAI. Rag, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Preferred: Built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. Summary: We are seeking a highly experienced **Principal Gen AI Scientist** wi

Easy Apply

Contract, Third Party

Depends on Experience

Search all similar jobs