Data Scientist

Ladders; United States; Remote; USD 125,000 - 135,000; Full time

Benefits offered by this job

Remote work throughout US

Job summary

Ladders is seeking a Data Scientist to join the team, focusing on developing and optimizing AI/ML solutions that turn large-scale data into actionable insights. You will partner with technical and business stakeholders to translate problems into models, dashboards, and scalable workflows that support smarter decision‑making, and contribute to the AI product lifecycle from roadmap through evaluation.

Location: Remote - US based candidates only; compensation: $125,000 - $135,000 annually.

Qualifications

• Master's or Bachelor's degree in Computer Science or a related field, with corresponding experience in AI/ML roles.
• Two (2) years of independent experience architecting and developing AI applications.
• Experience in UI/UX design and dashboard development, including Tableau and Streamlit.
• Proficiency with Natural Language Processing and Deep Learning using Python frameworks such as NLTK and PyTorch.
• Experience managing AI product lifecycles, including technical roadmap definition and agile methodologies.
• Experience with machine learning operations (MLOps) frameworks such as GitLab, Kubeflow, and MLflow.

Responsibilities

• Analyze and process large-scale datasets to support AI/ML model development
• Design and optimize predictive and statistical models using advanced frameworks
• Develop and manage automated preprocessing workflows to ensure data integrity
• Define statistical evaluation metrics to optimize model performance
• Create analytical dashboards and prototypes to support stakeholder insights
• Translate business challenges into technical specifications and AI roadmaps
• Analyze production data trends and performance drift indicators

Skills

AI/ML development

Dashboard development

NLP / PyTorch

Tableau

Streamlit

MLOps (GitLab, Kubeflow, MLflow)

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

NLTK

PyTorch

GitLab

Kubeflow

MLflow

Tableau

Streamlit

Job description

For our client, we are seeking a Data Scientist to join the team of a leader in the Information Technology space.

This role will focus on developing and optimizing AI and machine learning solutions that turn large-scale data into actionable insights. The position will partner with technical and business stakeholders to translate problems into models, dashboards, and scalable workflows that support smarter decision‑making. It also involves contributing to the AI product lifecycle, from roadmap definition through model evaluation and performance monitoring.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $125,000 - $135,000 annually

Responsibilities

• Analyze and process large-scale datasets to support AI/ML model development
• Design and optimize predictive and statistical models using advanced frameworks
• Develop and manage automated preprocessing workflows to ensure data integrity
• Define statistical evaluation metrics to optimize model performance
• Create analytical dashboards and prototypes to support stakeholder insights
• Translate business challenges into technical specifications and AI roadmaps
• Analyze production data trends and performance drift indicators

Qualifications

• Master's or Bachelor's degree in Computer Science or a related field, with corresponding experience in AI/ML roles
• Two (2) years of independent experience architecting and developing AI applications
• Experience in UI/UX design and dashboard development, including Tableau and Streamlit
• Proficiency with Natural Language Processing and Deep Learning using Python frameworks such as NLTK and PyTorch
• Experience managing AI product lifecycles, including technical roadmap definition and agile methodologies
• Experience with machine learning operations (MLOps) frameworks such as GitLab, Kubeflow, and MLflow

Benefits

• Remote telecommuting option available throughout the U.S.

Our client is an equal opportunity employer.