AI-Data Scientist

NOTE: 100% Remote

Data Scientist/AI Engineer

Goal: Optimize Client's API Portfolio by leveraging AI and Analytics to categorize and classify our existing API Portfolio and predict efficacy and economy of newly created APIs. Provide development teams with AI-grounded feedback as part of the API developer experience.

Core Responsibilities

Perform data analysis by applying statistical techniques to interpret datasets, identify patterns, form insights relevant to business questions, and predict outcomes.

Translate complex software architecture problems into high-level AI and analytics solutions.

Communicate findings through concise reports, charts, data visualizations, and storytelling to both technical and non-technical stakeholders.

Define and integrate key data sources (design-time and run-time API and Service analytics) to deliver predictive and generative AI models.

Model development- design, build, train, and validate predictive ML models and generative AI solutions using Python, R, and SQL.

Develop custom pipelines for data ingestion, embedding generation and indexing in vector databases.

Data analysis centers on API and microservice architecture patterns so knowledge of application architecture is valuable in this role.

Technical Skills

Proficiency in Python, R, and SQL for data preparation, querying and model development.

Tool proficiency with visualization tools such as Tableau and PowerBI to communicate insights effectively.

Hands-on experience with Google Cloud Platform Vertex AI, BigQuery, TensorFlow, PyTorch.

Hands-on experience with vector databases like Vertex AI Vector Search or Cloud SQL.

Professional Skills

Robust analytical skills with attention to detail and a rigorous problem-solving approach.

Core Responsibilities

• Perform data analysis by applying statistical techniques to interpret datasets, identify patterns, form insights relevant to business questions, and predict outcomes.
• Translate complex software architecture problems into high-level AI and analytics solutions.
• Communicate findings through concise reports, charts, data visualizations, and storytelling to both technical and non-technical stakeholders.
• Define and integrate key data sources (design-time and run-time API and Service analytics) to deliver predictive and generative AI models.
• Model development- design, build, train, and validate predictive ML models and generative AI solutions using Python, R, and SQL.
• Develop custom pipelines for data ingestion, embedding generation and indexing in vector databases.
• Data analysis centers on API and microservice architecture patterns so knowledge of application architecture is valuable in this role.

Technical Skills

• Proficiency in Python, R, and SQL for data preparation, querying and model development.
• Tool proficiency with visualization tools such as Tableau and PowerBI to communicate insights effectively.
• Hands-on experience with Google Cloud Platform Vertex AI, BigQuery, TensorFlow, PyTorch.
• Hands-on experience with vector databases like Vertex AI Vector Search or Cloud SQL.

Professional Skills

• Robust analytical skills with attention to detail and a rigorous problem-solving approach.

Core Responsibilities

Perform data analysis by applying statistical techniques to interpret datasets, identify patterns, form insights relevant to business questions, and predict outcomes.

Translate complex software architecture problems into high-level AI and analytics solutions.

Communicate findings through concise reports, charts, data visualizations, and storytelling to both technical and non-technical stakeholders.

Define and integrate key data sources (design-time and run-time API and Service analytics) to deliver predictive and generative AI models.

Model development- design, build, train, and validate predictive ML models and generative AI solutions using Python, R, and SQL.

Develop custom pipelines for data ingestion, embedding generation and indexing in vector databases.

Data analysis centers on API and microservice architecture patterns so knowledge of application architecture is valuable in this role.

Technical Skills

Proficiency in Python, R, and SQL for data preparation, querying and model development.

Tool proficiency with visualization tools such as Tableau and PowerBI to communicate insights effectively.

Hands-on experience with Google Cloud Platform Vertex AI, BigQuery, TensorFlow, PyTorch.

Hands-on experience with vector databases like Vertex AI Vector Search or Cloud SQL.

Professional Skills

Robust analytical skills with attention to detail and a rigorous problem-solving approach.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


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