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Senior Data Scientist || Washington, DC

Envision Technology Solutions

Berkeley Township, New Jersey • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

Senior Data Scientist

Fiekon

Remote • 30+d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist

Booz Allen Hamilton

Remote • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Senior Data Scientist

Factspan Inc

Remote • 9d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist

Doximity

Remote or San Francisco, California • Today

Full-time

Compensation information provided in the description

Senior Data Scientist

Circles Inc.

Remote or San Francisco, California • Today

Full-time

USD 152,500.00 - 205,000.00 per year

Senior Data Scientist

Temporal Technologies

Remote • Today

Full-time

USD 137,600.00 - 220,000.00 per year

Senior Data Scientist

Stellar IT Solutions

Remote or St. Louis, Missouri • Today

Easy Apply

Full-time, Part-time, Contract, Third Party

USD 65-70

Senior Data Scientist

Vanta

Remote • Today

Full-time

USD 172,000.00 - 202,000.00 per year

Senior Data Scientist

Premier, Inc.

Remote • Today

Full-time

USD 90,000.00 - 150,000.00 per year

Senior Data Scientist

GDH

Remote • 6d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data Scientist

OneStudyTeam

Remote • 7d ago

Full-time

USD 140,000.00 - 190,000.00 per year

Job Details

Skills

Data scientist

Summary

Job Title: Senior Data Scientist

Location: Berkeley / Alpharetta / Washington, DC

Job Type: - Contract

On-Site

Job Description:-

Key Responsibilities

Design, develop, and deploy machine learning, deep learning, and statistical models to solve complex business problems.
Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
Build predictive models, recommendation systems, forecasting models, and classification algorithms.
Develop data pipelines and feature engineering processes for model training and deployment.
Collaborate with product managers, business stakeholders, data engineers, and software developers to define data science solutions.
Perform exploratory data analysis (EDA), hypothesis testing, and statistical analysis.
Optimize machine learning models for scalability, accuracy, and performance.
Deploy ML models using MLOps best practices and monitor model performance in production.
Communicate analytical findings and recommendations through dashboards, reports, and presentations.
Mentor junior data scientists and promote data science best practices across the organization.
Stay current with emerging AI, machine learning, and data science technologies.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (Ph.D. preferred).
6+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
Strong proficiency in Python or R for data analysis and machine learning.
Experience with SQL and relational databases.
Expertise in machine learning algorithms, statistical modeling, and predictive analytics.
Experience with large datasets and distributed computing frameworks.
Strong understanding of probability, statistics, linear algebra, and optimization techniques.
Experience deploying machine learning models into production environments.
Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI agents.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Knowledge of data visualization tools such as Tableau, Power BI, or Plotly.
Experience working in Agile/Scrum environments.

Technical Skills

Programming: Python, R, SQL
Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost
Deep Learning: TensorFlow, PyTorch, Keras
Generative AI: OpenAI APIs, LangChain, LlamaIndex, Hugging Face Transformers
Big Data: Apache Spark, Hadoop, Databricks
Databases: PostgreSQL, MySQL, SQL Server, Snowflake
Cloud: AWS, Azure, Google Cloud Platform
MLOps: MLflow, Kubeflow, Docker, Kubernetes
Visualization: Power BI, Tableau, Matplotlib, Plotly

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: 91131262
Position Id: 2026-6031
Posted 4 hours ago

Fitment

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Similar Jobs

Principal Data Scientist - R01568403

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About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio ta

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Senior Data Scientist - Applied ML

New York, New York

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Data Scientist 3 - Freewheel

New York, New York

•

Today

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. Job Summary Freewheel is currently looking to recruit a Data Scientist to join our Audience & AI grou

Full-time

USD 118,300.41 - 177,450.62 per year

Job Details

Skills

Data scientist

Summary

Job Title: Senior Data Scientist

Location: Berkeley / Alpharetta / Washington, DC

Job Type: - Contract

On-Site

Job Description:-

Key Responsibilities

Design, develop, and deploy machine learning, deep learning, and statistical models to solve complex business problems.
Analyze structured and unstructured data to identify trends, patterns, and actionable insights.
Build predictive models, recommendation systems, forecasting models, and classification algorithms.
Develop data pipelines and feature engineering processes for model training and deployment.
Collaborate with product managers, business stakeholders, data engineers, and software developers to define data science solutions.
Perform exploratory data analysis (EDA), hypothesis testing, and statistical analysis.
Optimize machine learning models for scalability, accuracy, and performance.
Deploy ML models using MLOps best practices and monitor model performance in production.
Communicate analytical findings and recommendations through dashboards, reports, and presentations.
Mentor junior data scientists and promote data science best practices across the organization.
Stay current with emerging AI, machine learning, and data science technologies.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (Ph.D. preferred).
6+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
Strong proficiency in Python or R for data analysis and machine learning.
Experience with SQL and relational databases.
Expertise in machine learning algorithms, statistical modeling, and predictive analytics.
Experience with large datasets and distributed computing frameworks.
Strong understanding of probability, statistics, linear algebra, and optimization techniques.
Experience deploying machine learning models into production environments.
Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI agents.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Knowledge of data visualization tools such as Tableau, Power BI, or Plotly.
Experience working in Agile/Scrum environments.

Technical Skills

Programming: Python, R, SQL
Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost
Deep Learning: TensorFlow, PyTorch, Keras
Generative AI: OpenAI APIs, LangChain, LlamaIndex, Hugging Face Transformers
Big Data: Apache Spark, Hadoop, Databricks
Databases: PostgreSQL, MySQL, SQL Server, Snowflake
Cloud: AWS, Azure, Google Cloud Platform
MLOps: MLflow, Kubeflow, Docker, Kubernetes
Visualization: Power BI, Tableau, Matplotlib, Plotly

Dice Id: 91131262
Position Id: 2026-6031
Posted 4 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

Similar Jobs

Principal Data Scientist - R01568403

Remote or Edison, New Jersey

•

Today

Full-time

USD 180,000.00 - 190,000.00 per year

HEALTHCARE DATA SCIENTIST

Camden, New Jersey

•

Today

Full-time

Senior Data Scientist - Applied ML

New York, New York

•

Today

Full-time

USD 166,000.00 - 214,000.00 per year

Data Scientist 3 - Freewheel

New York, New York

•

Today

Full-time

USD 118,300.41 - 177,450.62 per year