Senior Data Scientist

phData

RemotePosted July 29, 2026

About the role

phData is a remote-first data and AI consultancy with employees across the United States, Latin America, and India. We partner with industry leaders such as Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to solve complex data and AI challenges for large enterprises. We’re growing fast and empower our people to own their work. We hire top performers and trust them to deliver results.

Senior Data Scientist

phData

RemotePosted July 29, 2026

About the role

phData is a remote-first data and AI consultancy with employees across the United States, Latin America, and India. We partner with industry leaders such as Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to solve complex data and AI challenges for large enterprises. We’re growing fast and empower our people to own their work. We hire top performers and trust them to deliver results.

We’re looking for a Senior Data Scientist with strong technical acumen to design, build, and train algorithms and models to improve and streamline business processes for large enterprise customers.

Responsibilities

Collaborate with stakeholders to gather requirements and translate them into technical specifications for model design and implementation.
Design, build, and deploy AI and ML solutions across the spectrum of techniques, including traditional ML (regression, classification, forecasting) and Generative AI/LLM-based approaches.
Prepare and transform data to support model training, evaluation, and post-processing.
Create articulate reports, visualizations, and presentations to communicate your process and results to stakeholders with varying levels of technical understanding.
Partner with data engineers, ML engineers, and other cross-functional teams to implement MLOps best practices that support long-term monitoring, maintenance, and scalability.
Proactively and independently engage with customers and take ownership for building models and applying data science best practices on each project.
Contribute to thought leadership in the d

Responsibilities

Collaborate with stakeholders to gather requirements and translate them into technical specifications for model design and implementation.
Design, build, and deploy AI and ML solutions across the spectrum of techniques, including traditional ML (regression, classification, forecasting) and Generative AI/LLM-based approaches.
Prepare and transform data to support model training, evaluation, and post-processing.
Create articulate reports, visualizations, and presentations to communicate your process and results to stakeholders with varying levels of technical understanding.
Partner with data engineers, ML engineers, and other cross-functional teams to implement MLOps best practices that support long-term monitoring, maintenance, and scalability.
Proactively and independently engage with customers and take ownership for building models and applying data science best practices on each project.
Contribute to thought leadership in the d

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