Remote Senior Data Scientist: ML & Data Strategy

Bright Vision Technologies; Austin (TX); Remote; USD 160,000 - 180,000; Full time

Job summary

Bright Vision Technologies in the United States is seeking a Senior Data Scientist to design, develop, deploy, and optimize enterprise‑grade data science and ML solutions that support strategic goals across multiple domains. You will own the full data science lifecycle from problem framing to production deployment in a remote, US‑based team.

The role requires 6+ years of experience, strong Python/R/SQL and ML stack, cloud exposure, and collaboration with engineers, product managers, and

Qualifications

• 6+ years of professional experience developing production‑grade ML models and enterprise data science applications.
• Strong understanding of statistics, probability, ML algorithms, data structures, data modeling and feature engineering.
• Hands‑on experience with ML libraries and cloud platforms, plus end‑to‑end ML lifecycle.

Responsibilities

• Design, develop, deploy, and optimize enterprise‑grade data science and ML solutions.
• Translate business problems into analytical solutions and predictive models.
• Collaborate with data engineers, software developers, product managers and stakeholders in an Agile environment to deliver scalable solutions.

Skills

Python

R

SQL

Machine Learning

Data Engineering

Cloud Platforms

MLOps

Git & CI/CD

Education

Bachelor's degree in Data Science, CS, Stats, Maths, Eng

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Spark

Snowflake

Job description

Bright Vision Technologies in the United States is seeking a Senior Data Scientist to design, develop, deploy, and optimize enterprise‑grade data science and ML solutions that support strategic goals across multiple domains. You will own the full data science lifecycle from problem framing to production deployment in a remote, US‑based team.

The role requires 6+ years of experience, strong Python/R/SQL and ML stack, cloud exposure, and collaboration with engineers, product managers, and