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Data Scientist - consultant

SilverSearch, Inc.

Hybrid in New York, New York • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Consultant- Marketing Data Science & AI

Sia

New York, New York • 7d ago

Full-time

USD 95,000.00 - 116,000.00 per year

Consultant - Data Management

United Nations

New York, New York • Today

Full-time

Data and Analytics Consultant

SEI

New York, New York • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Senior Data Scientist

Artefact

New York, New York • Today

Full-time

USD 125,000.00 - 135,000.00 per year

Data and Business Analytics Sr. Consultant

Allstate Insurance Company

New York, New York • Yesterday

Full-time

USD 70,100.00 - 121,475.00 per year

Consultant | AI & Data

Buro Happold

New York, New York • Today

Full-time

USD 85,000.00 - 115,000.00 per year

Consultant, Data Analytics

Beghou Consulting

New York, New York • Today

Full-time

USD 90,000.00 - 110,000.00 per year

Data Solutions Consultant

Addepar

New York, New York • 3d ago

Full-time

USD 85,000.00 - 105,000.00 per year

Data Solutions Consultant

Addepar

New York, New York • Today

Full-time

USD 85,000.00 - 105,000.00 per year

AI & Data Decision Science Consultant - Utilities

Accenture LLP

New York, New York • Today

Full-time

USD 70,350.00 per year

Senior Data Consultant (US)

Artefact

New York, New York • Today

Full-time

USD 125,000.00 - 135,000.00 per year

Business Consultant, Quantitative Data

London Stock Exchange Group

New York, New York • Today

Full-time

USD 145,200.00 - 242,000.00 per year

Data Technology Consultant

EPAM Systems

Remote • Today

Full-time

Metrics and Data Consultant

SAIC

Remote • Today

Full-time

USD 120,001.00 - 160,000.00 per year

Metrics and Data Consultant

SAIC

Remote • Today

Full-time

USD 120,001.00 - 160,000.00 per year

Data and Business Analytics Sr. Consultant

Allstate Insurance Company

Remote • Today

Full-time

USD 70,100.00 - 121,475.00 per year

Data Security Consultant

CIBC

Remote or Chicago, Illinois • Today

Full-time

USD 130,000.00 - 150,000.00 per year

Sr. Data Platform Consultant (Databricks)

Will-N-Able

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Summary

Job Description

Our client is seeking a Data Scientist to design and implement data science and applied machine learning solutions supporting new product development, intelligent search and discovery, content enrichment, and metadata generation. Working as part of a cross-functional team, you will evaluate commercial and open-source AI models, perform data analysis, and deliver production-ready solutions with measurable business impact.

This role partners closely with engineering, product, and business stakeholders to develop end-to-end AI and machine learning solutions, improve data quality, and enhance search, retrieval, and content intelligence capabilities.

Responsibilities

Evaluate, fine-tune, and maintain statistical and machine learning models deployed in production environments, measuring and communicating performance improvements.
Collaborate with cross-functional teams to design and optimize AI/ML solutions that support new product capabilities and improve internal workflows.
Research, evaluate, and recommend machine learning models and methodologies, presenting findings to both technical and non-technical stakeholders.
Analyze model quality and performance, identifying opportunities for improvement and translating findings into actionable recommendations.
Design and enhance data and machine learning pipelines, including multimodal embedding generation and knowledge extraction, with a focus on scalability, efficiency, and accuracy.
Develop user-focused search algorithms and retrieval solutions that maximize relevance and performance.
Stay current with advancements in NLP, machine learning, and generative AI, recommending new technologies and approaches where appropriate.
Support the complete machine learning lifecycle, including problem definition, experimentation, deployment, monitoring, and ongoing optimization.
Communicate analytical findings and technical concepts effectively to a wide range of audiences.

Required Qualifications

3+ years of professional experience in Data Science or Applied Machine Learning.
Bachelor''s degree in Computer Science, Data Science, Machine Learning, or a related technical field.
Strong Python programming skills, including experience with NumPy, Pandas, and large-scale semi-structured (JSON) datasets.
Hands-on experience with core machine learning techniques including classification, clustering, regression, and ranking.
Experience applying NLP techniques such as:
- Named Entity Recognition (NER)
- Entity disambiguation
- Semantic similarity
- Embedding-based retrieval
Experience working with transformer-based models for extraction, classification, summarization, and text generation.
Experience building or improving hybrid search solutions, retrieval pipelines, query expansion, intent detection, and relevance tuning using Elasticsearch or OpenSearch.
Experience working with both language models and multimodal AI models.
Experience processing large-scale text and image datasets.
Familiarity with ML Engineering and MLOps practices, including deploying and maintaining production machine learning solutions.
Knowledge of experimentation methodologies including A/B testing, cohort analysis, session segmentation, and model evaluation metrics.
Strong analytical, problem-solving, and communication skills.
Ability to manage multiple concurrent projects in a fast-paced environment.
Experience working across the full machine learning development lifecycle.

Preferred Qualifications

Master''s degree in Computer Science, Data Science, Machine Learning, or a related discipline.
Experience with graph databases, knowledge graphs, or entity relationship modeling.
Experience designing scalable AI solutions for search, recommendation, or content intelligence platforms.
Experience working with large, evolving datasets in production environments.
Curiosity and interest in emerging AI technologies and practical applications of generative AI.

Additional Information

Hybrid work arrangement (multiple days onsite each week).
Must have Opensearch or Elasticsearch
Candidates must be authorized to work in the United States without current or future sponsorship.
$60/hr. W2 or $75/hr. IC (no C2C)

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: 10112164
Position Id: 26-75409
Posted 1 day ago

Fitment

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Similar Jobs

Data Scientist

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19d ago

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Contract

Depends on Experience

Data Scientist (AI/ML) and Analytics

Hybrid in New York, New York

•

30+d ago

Data Scientist (AI/ML) and AnalyticsLocation: NY and Other USA LocationsJob DescriptionOur Data Science group supports bank and merchant partners by leveraging extensive global transaction datasets. The team focuses on building innovative solutions that drive business outcomes through advanced analytics, machine learning, artificial intelligence, and data science techniques.To support a rapidly expanding scope of work at the intersection of data science, analytics, and AI, we are seeking Data Sc

Easy Apply

Part-time, Third Party

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Mid-level Applied AI Data Scientist (Tableau Focus)

New York, New York

•

Today

Mid-level Applied AI Data Scientist (Tableau Focus) Location: New York, NY (Hybrid - 3 days in-office) | Practice Area: Technology & Engineering | Type: Permanent Turn data into insight, and insight into impact. The Role We are looking for a Data Scientist to join us, working at the intersection of data, machine learning, and business insight. In this role, you will apply statistical and machine learning techniques to real-world problems, helping clients unlock value from complex datasets. Yo

Full-time

USD 93,000.00 - 112,000.00 per year

Job Details

Skills

Summary

Job Description

Responsibilities

Evaluate, fine-tune, and maintain statistical and machine learning models deployed in production environments, measuring and communicating performance improvements.
Collaborate with cross-functional teams to design and optimize AI/ML solutions that support new product capabilities and improve internal workflows.
Research, evaluate, and recommend machine learning models and methodologies, presenting findings to both technical and non-technical stakeholders.
Analyze model quality and performance, identifying opportunities for improvement and translating findings into actionable recommendations.
Design and enhance data and machine learning pipelines, including multimodal embedding generation and knowledge extraction, with a focus on scalability, efficiency, and accuracy.
Develop user-focused search algorithms and retrieval solutions that maximize relevance and performance.
Stay current with advancements in NLP, machine learning, and generative AI, recommending new technologies and approaches where appropriate.
Support the complete machine learning lifecycle, including problem definition, experimentation, deployment, monitoring, and ongoing optimization.
Communicate analytical findings and technical concepts effectively to a wide range of audiences.

Required Qualifications

3+ years of professional experience in Data Science or Applied Machine Learning.
Bachelor''s degree in Computer Science, Data Science, Machine Learning, or a related technical field.
Strong Python programming skills, including experience with NumPy, Pandas, and large-scale semi-structured (JSON) datasets.
Hands-on experience with core machine learning techniques including classification, clustering, regression, and ranking.
Experience applying NLP techniques such as:
- Named Entity Recognition (NER)
- Entity disambiguation
- Semantic similarity
- Embedding-based retrieval
Experience working with transformer-based models for extraction, classification, summarization, and text generation.
Experience building or improving hybrid search solutions, retrieval pipelines, query expansion, intent detection, and relevance tuning using Elasticsearch or OpenSearch.
Experience working with both language models and multimodal AI models.
Experience processing large-scale text and image datasets.
Familiarity with ML Engineering and MLOps practices, including deploying and maintaining production machine learning solutions.
Knowledge of experimentation methodologies including A/B testing, cohort analysis, session segmentation, and model evaluation metrics.
Strong analytical, problem-solving, and communication skills.
Ability to manage multiple concurrent projects in a fast-paced environment.
Experience working across the full machine learning development lifecycle.

Preferred Qualifications

Master''s degree in Computer Science, Data Science, Machine Learning, or a related discipline.
Experience with graph databases, knowledge graphs, or entity relationship modeling.
Experience designing scalable AI solutions for search, recommendation, or content intelligence platforms.
Experience working with large, evolving datasets in production environments.
Curiosity and interest in emerging AI technologies and practical applications of generative AI.

Additional Information

Hybrid work arrangement (multiple days onsite each week).
Must have Opensearch or Elasticsearch
Candidates must be authorized to work in the United States without current or future sponsorship.
$60/hr. W2 or $75/hr. IC (no C2C)

Dice Id: 10112164
Position Id: 26-75409
Posted 1 day ago

Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Create job alert

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

Similar Jobs

Data Scientist

Newark, New Jersey

•

19d ago

Easy Apply

Contract

80 - 85

Data Scientist

Hybrid in Newark, New Jersey

•

25d ago

Easy Apply

Contract

Depends on Experience

Data Scientist (AI/ML) and Analytics

Hybrid in New York, New York

•

30+d ago

Easy Apply

Part-time, Third Party

$60 - $80

Mid-level Applied AI Data Scientist (Tableau Focus)

New York, New York

•

Today

Full-time

USD 93,000.00 - 112,000.00 per year