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Senior Data Scientist

VDart, Inc.

Edison, New Jersey • Today

Easy Apply

Full-time, Third Party

Depends on Experience

Senior Data Scientist

City of New York

New York, New York • Today

Full-time

USD 100,000.00 - 125,000.00 per year

(USA) Senior, Data Scientist

Walmart Inc.

Hoboken, New Jersey • Today

Full-time

USD 108,000.00 - 216,000.00 per year

Senior Data Scientist - Equities

Balyasny Asset Management

New York, New York • Today

Full-time

Senior Data Scientist, AI Enablement

Oscar Health

New York, New York • Today

Full-time

USD 163,944.00 - 215,176.50 per year

Senior Data Scientist, Ads Marketplace

Etsy, Inc

Remote or New York, New York • Today

Full-time

Senior Data Scientist

iSoftStone

New York, New York • Today

Full-time

USD 130,000.00 - 150,000.00 per year

Senior Data Scientist - Applied ML

Justworks

New York, New York • Today

Full-time

USD 166,000.00 - 214,000.00 per year

Senior Data Scientist - Embedded Insights

Plaid

New York, New York • Today

Full-time

USD 190,800.00 - 262,800.00 per year

Senior Data Scientist - Network Value (Credit)

Plaid

New York, New York • Today

Full-time

USD 190,800.00 - 262,800.00 per year

Senior Data Scientist, Growth Forecasting

Duolingo

New York, New York • Today

Full-time

USD 182,800.00 - 247,300.00 per year

Senior Data Scientist, User Growth

Duolingo

New York, New York • Today

Full-time

USD 182,800.00 - 247,300.00 per year

Senior Data Scientist - Commercial Product Strategy

CVS Health

New York, New York • Today

Full-time

USD 111,240.00 - 222,480.00 per year

Senior Data Scientist - Network Value (Credit)

Plaid

New York, New York • 10d ago

Full-time

Staff/Senior Data Scientist, Entity Resolution Team

Enigma

New York, New York • Today

Full-time

USD 180,000.00 - 270,000.00 per year

Senior Data Scientist, Web/Marketing Analytics

Rockstar Games

New York, New York • Today

Full-time

USD 121,400.00 - 161,800.00 per year

Senior Data Scientist & Machine Learning Engineer

Chobani

New York, New York • Today

Full-time

USD 105,500.00 - 196,500.00 per year

Senior Data Scientist

Astir IT Solutions

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Senior Data Scientist / Data Engineer Generative AI Engine Optimization

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $95

Senior Data Scientist

Amplify

Remote • Today

Full-time

USD 138,000.00 - 158,000.00 per year

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

SANS

Remote • 2d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Scientist / Data Scientist III

Cleveland Clinic

Remote or Cleveland, Ohio • Today

Full-time

Senior Data Scientist

Factspan Inc

Remote • 11d ago

Easy Apply

Full-time

Depends on Experience

Sr. Data Scientist

Hims and Hers Health, Inc.

Remote • Today

Full-time

USD 150,000.00 - 180,000.00 per year

Senior Data Scientist

Temporal Technologies

Remote • Today

Full-time

USD 137,600.00 - 220,000.00 per year

Senior Data Scientist

Doximity

Remote or San Francisco, California • Today

Full-time

Compensation information provided in the description

Senior Data Scientist

Wing

Remote or Palo Alto, California • Today

Full-time

USD 169,000.00 - 224,000.00 per year

Senior Data Scientist

Booz Allen Hamilton

Remote • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Senior Data Scientist

Stellar IT Solutions

Remote or St. Louis, Missouri • Today

Easy Apply

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

USD 65-70

VDart, Inc.

Job Details

Skills

Senior Data ScientistMachine Learning & Generative AI

Summary

Job Title : Senior Data Scientist

Location : Bellevue, WA (Onsite)

Job Description:

We are seeking a highly skilled and experienced Senior Data Scientist to lead and drive data science initiatives across the organization. This is a high-impact role requiring end-to-end ownership of the data science lifecycle-from business problem framing and data preparation to model development, deployment, and ongoing monitoring.
The ideal candidate brings deep expertise in traditional machine learning and deep learning techniques, strong hands-on experience with Python and SQL, and a proven track record of building and deploying robust predictive models. The role also requires practical experience with Generative AI and OpenAI-based solutions, including chatbots, Retrieval-Augmented Generation (RAG), and AI-powered analytics use cases. Exposure to NLP is essential.

Key Responsibilities

Own the end-to-end development of data science solutions, including data wrangling, feature engineering, modeling, validation, deployment, and performance monitoring.
Apply a wide range of traditional ML and DL algorithms-such as linear and logistic regression, decision trees, random forests, XGBoost, LightGBM, SVMs, clustering techniques, and deep neural networks-to solve complex business problems.
Design and implement AI-driven solutions leveraging OpenAI models, including prompt engineering, RAG pipelines, and conversational AI systems for analytics and decision support.
Collaborate closely with cross-functional stakeholders to translate business and marketing questions into analytical frameworks and scalable data solutions.
Support campaign analytics and optimization by building models to measure campaign performance, engagement, uplift, and incremental impact across channels.
Develop audience segmentation and persona models to support targeted campaign design, lifecycle analysis, and personalization strategies.
Evaluate and forecast campaign outcomes (e.g., engagement, conversion, retention) using predictive and causal modeling approaches.
Provide mentorship and technical leadership to junior data scientists and analysts, setting best practices for modeling and experimentation.
Conduct rigorous model validation, monitor post-deployment performance, and iterate models to maintain accuracy and business relevance.
Communicate insights, model outputs, and business impact clearly to both technical and non-technical stakeholders.
Stay current with advancements in machine learning, generative AI, and applied analytics to continuously improve internal capabilities.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field (PhD preferred).
5+ years of experience in applied data science with demonstrable project success and production deployments.
Hands-on experience with OpenAI technologies and APIs for generative AI, NLP, or intelligent analytics use cases.
Strong expertise in traditional machine learning techniques:
◦Supervised learning: regression and classification (logistic regression, decision trees, random forest, gradient boosting, SVM, KNN)
◦Unsupervised learning: clustering (k-means, DBSCAN), dimensionality reduction (PCA)
◦Ensemble methods: bagging and boosting (XGBoost, LightGBM)
Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for large-scale data analysis and modeling.
Experience deploying models into production and measuring business and campaign impact.
Strong analytical thinking, clean coding practices, and ability to work independently and collaboratively.
Excellent written and verbal communication skills.

Good to Have

Experience with NLP frameworks and libraries (spaCy, NLTK, Hugging Face Transformers).
Advanced experience with Generative AI applications, including RAG architectures, embeddings, and vector databases.
Familiarity with Azure cloud services, AI/ML tooling, and version control systems (Git).
Understanding of MLOps principles, CI/CD for models, monitoring, and model governance.

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: 10330808
Position Id: 101866-5195-1792692160
Posted 4 hours ago

Company Info

About VDart, Inc.

VDart, headquartered in Atlanta, GA, is a global leader in digital talent solutions and IT staffing, delivering top technology professionals to businesses worldwide. With a strong presence across North America, Europe and Asia, we specialize in helping organizations navigate complex technology landscapes with the right expertise.

Through a strategic, client-focused approach, we have placed over 20,000 professionals across key industries and advanced technology solutions. Whether placing top talent in cutting-edge roles or providing strategic digital workforce solutions, our network of 4,000 specialists across 13 countries is committed to excellence, agility and impact.

Backed by 18 years of industry experience, we go beyond staffing to build long-term partnerships that accelerate digital transformation and drive sustained growth. Whether you need a technology partner to fuel innovation or specialized workforce solutions to maintain a competitive edge, VDart delivers the right people, skills and mindset to create a lasting impact in a digital-first world.

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Gen AI Architect

Cleveland, Ohio

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Job Title: Gen AI Architect Location: Cleveland, OH / Mason, OH / Kansas City, KS / Albany, NY (Hybrid) Job Type: Contract Job Description Role Summary The GenAI Architect is responsible for designing, guiding, and implementing enterprise-grade Generative AI solutions embedded within product platforms. This role bridges AI research, engineering, and product development, ensuring GenAI capabilities are scalable, secure, and aligned with business objectives. Key Responsibilities Desig

Easy Apply

Contract, Third Party

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VDart, Inc.

Job Details

Skills

Senior Data ScientistMachine Learning & Generative AI

Summary

Job Title : Senior Data Scientist

Location : Bellevue, WA (Onsite)

Job Description:

We are seeking a highly skilled and experienced Senior Data Scientist to lead and drive data science initiatives across the organization. This is a high-impact role requiring end-to-end ownership of the data science lifecycle-from business problem framing and data preparation to model development, deployment, and ongoing monitoring.
The ideal candidate brings deep expertise in traditional machine learning and deep learning techniques, strong hands-on experience with Python and SQL, and a proven track record of building and deploying robust predictive models. The role also requires practical experience with Generative AI and OpenAI-based solutions, including chatbots, Retrieval-Augmented Generation (RAG), and AI-powered analytics use cases. Exposure to NLP is essential.

Key Responsibilities

Own the end-to-end development of data science solutions, including data wrangling, feature engineering, modeling, validation, deployment, and performance monitoring.
Apply a wide range of traditional ML and DL algorithms-such as linear and logistic regression, decision trees, random forests, XGBoost, LightGBM, SVMs, clustering techniques, and deep neural networks-to solve complex business problems.
Design and implement AI-driven solutions leveraging OpenAI models, including prompt engineering, RAG pipelines, and conversational AI systems for analytics and decision support.
Collaborate closely with cross-functional stakeholders to translate business and marketing questions into analytical frameworks and scalable data solutions.
Support campaign analytics and optimization by building models to measure campaign performance, engagement, uplift, and incremental impact across channels.
Develop audience segmentation and persona models to support targeted campaign design, lifecycle analysis, and personalization strategies.
Evaluate and forecast campaign outcomes (e.g., engagement, conversion, retention) using predictive and causal modeling approaches.
Provide mentorship and technical leadership to junior data scientists and analysts, setting best practices for modeling and experimentation.
Conduct rigorous model validation, monitor post-deployment performance, and iterate models to maintain accuracy and business relevance.
Communicate insights, model outputs, and business impact clearly to both technical and non-technical stakeholders.
Stay current with advancements in machine learning, generative AI, and applied analytics to continuously improve internal capabilities.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field (PhD preferred).
5+ years of experience in applied data science with demonstrable project success and production deployments.
Hands-on experience with OpenAI technologies and APIs for generative AI, NLP, or intelligent analytics use cases.
Strong expertise in traditional machine learning techniques:
◦Supervised learning: regression and classification (logistic regression, decision trees, random forest, gradient boosting, SVM, KNN)
◦Unsupervised learning: clustering (k-means, DBSCAN), dimensionality reduction (PCA)
◦Ensemble methods: bagging and boosting (XGBoost, LightGBM)
Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for large-scale data analysis and modeling.
Experience deploying models into production and measuring business and campaign impact.
Strong analytical thinking, clean coding practices, and ability to work independently and collaboratively.
Excellent written and verbal communication skills.

Good to Have

Experience with NLP frameworks and libraries (spaCy, NLTK, Hugging Face Transformers).
Advanced experience with Generative AI applications, including RAG architectures, embeddings, and vector databases.
Familiarity with Azure cloud services, AI/ML tooling, and version control systems (Git).
Understanding of MLOps principles, CI/CD for models, monitoring, and model governance.

Dice Id: 10330808
Position Id: 101866-5195-1792692160
Posted 4 hours ago

Company Info

About VDart, Inc.

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

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Similar Jobs

Gen AI Architect

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