Data Scientist jobs in United States
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Widewail · 3 weeks ago

Data Scientist

Widewail is a Burlington, Vermont based startup focused on enhancing customer service experiences through AI-driven data products. The Data Scientist role involves building and deploying machine learning models, analyzing data to extract insights, and collaborating with engineering teams to support production environments.

InternetMarketingSocial MediaSoftware

Responsibilities

Have hands-on experience with modern AI stacks, including LLMs, embeddings, RAG pipelines, vector search, and model fine-tuning
Understand NLP deeply enough to apply it in production environments, including summarization, sentiment extraction, topic modeling, and classification
Be comfortable training and evaluating ML models using methods like BLEU, F1-score, and AUC
Have experience developing or supporting AI pipelines on cloud platforms, ideally AWS, including services like Bedrock, Sagemaker, Lambda, or similar
Be able to move between data exploration and engineering with ease, writing the code needed to transform, prepare, or orchestrate data for modeling
Communicate clearly about model behavior, limitations, and tradeoffs to technical and non-technical partners
Work collaboratively to build an environment where experimentation leads to practical, deployable outcomes

Qualification

Machine LearningNatural Language ProcessingData Pipeline DevelopmentAWS ServicesPythonSQLStatisticsData ModelingModel EvaluationCollaboration

Required

Two or more years in a full-time ML, data science, or applied AI role after graduation
Strong SQL skills
Strong foundation in statistics, machine learning, and data modeling
Experience developing, evaluating, and iterating on ML models
Experience with Python for modeling and data transformation
Have hands-on experience with modern AI stacks, including LLMs, embeddings, RAG pipelines, vector search, and model fine-tuning
Understand NLP deeply enough to apply it in production environments, including summarization, sentiment extraction, topic modeling, and classification
Be comfortable training and evaluating ML models using methods like BLEU, F1-score, and AUC
Have experience developing or supporting AI pipelines on cloud platforms, ideally AWS, including services like Bedrock, Sagemaker, Lambda, or similar
Be able to move between data exploration and engineering with ease, writing the code needed to transform, prepare, or orchestrate data for modeling
Communicate clearly about model behavior, limitations, and tradeoffs to technical and non-technical partners
Work collaboratively to build an environment where experimentation leads to practical, deployable outcomes

Preferred

Experience with modern AI tooling such as LLM orchestration frameworks, agentic pipelines, or retrieval-augmented systems
Experience with AWS AI and ML services, including Bedrock or Sagemaker
Experience building and supporting production-grade model pipelines

Benefits

Medical, Dental, Vision, HSA, FSA, DCA
Company funded Lifestyle Spending Account
Employer match 401K
Paid Parental Leave
Sick Time Off
Paid Time Off & Paid Holidays

Company

Widewail

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Widewail provides review response, generation, video testimonial and reputation management services.

Funding

Current Stage
Growth Stage
Total Funding
$1.65M
2021-04-30Seed· $1.5M
2018-11-15Pre Seed· $0.15M

Leadership Team

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Matt Murray
CEO / Founder
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Angi Murray
Co-Founder
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Company data provided by crunchbase