Remote Data Scientist: Forecasting & ModelOps (PST)

LatentView Analytics; California (MO); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading digital analytics firm is seeking a Data Scientist to drive business insights through data modeling and analysis. This role involves using statistical methods to forecast cash flows, improving customer experiences, and optimizing product offerings remotely while working on PST hours. Candidates should have a strong foundation in SQL, Python, and MLOps. A background in finance or a related technical field is preferred. Join a vibrant team dedicated to digital transformation.

Qualifications

• Experience building the end-to-end model development lifecycle.
• Proficiency in SQL and at least one scripting language (e.g., Python).
• Hands-on experience in MLOps infrastructure.
• Sound fundamentals in probability and statistics.
• Strong written and verbal communication skills.
• Prior work in finance, financial forecasting, or optimization is a plus.
• Educational background in a technical field is preferred.

Responsibilities

• Use statistical modeling to forecast cash flows and business drivers.
• Improve customer experience through analytics and experimentation.
• Explore datasets to uncover insights and prototype new products.
• Design and build models to optimize product offerings.
• Deploy and monitor model performance.

Skills

SQL

Python

MLOps infrastructure

Probability and statistics

Strong communication skills

Education

Statistics

Computer Science

Financial/Applied Math

Operations Research

Economics

Masters/PhD

Tools

Chalk

Baseten

Metaflow

SageMaker

Vertex

Job description

A leading digital analytics firm is seeking a Data Scientist to drive business insights through data modeling and analysis. This role involves using statistical methods to forecast cash flows, improving customer experiences, and optimizing product offerings remotely while working on PST hours. Candidates should have a strong foundation in SQL, Python, and MLOps. A background in finance or a related technical field is preferred. Join a vibrant team dedicated to digital transformation.