Senior Data Scientist - Remote, Enterprise ML Leader

Bright Vision Technologies; United States; Remote; USD 160,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking a Senior Data Scientist to design, develop, deploy, and optimize enterprise‑grade data science and machine learning solutions that support strategic business initiatives across multiple domains.

In this role, you will be responsible for the complete data science lifecycle, from translating business problems into analytical solutions and developing predictive models to deploying machine learning pipelines, monitoring model performance, and supporting

Qualifications

• Bachelor's degree in relevant quantitative discipline.
• 5+ years building production-grade ML models and data science apps.
• Strong statistics, ML algorithms, data modeling, and lifecycle knowledge.
• Proficient in Python, R, SQL and modern data science libraries.
• Experience with cloud platforms and ML deployment pipelines.
• Proven ability to translate business problems into analytical solutions.

Responsibilities

• Design, develop, deploy, and optimize enterprise-grade data science solutions.
• Translate business problems into analytical solutions and predictive models.
• Deploy ML pipelines, monitor performance, and support data-driven decisions.
• Collaborate with data engineers, software developers, and stakeholders in Agile teams.

Skills

Statistical analysis

Machine learning

End-to-end ML lifecycle

Feature engineering

Model evaluation techniques

Python

R

SQL

Big data tooling

Cloud platforms

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, AI, or related

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

Spark

Hadoop

Snowflake

Databricks

BigQuery

Git

CI/CD

MLOps

Docker

Kubernetes

Kubeflow

MLflow

Airflow

Job description

Bright Vision Technologies is seeking a Senior Data Scientist to design, develop, deploy, and optimize enterprise‑grade data science and machine learning solutions that support strategic business initiatives across multiple domains.

In this role, you will be responsible for the complete data science lifecycle, from translating business problems into analytical solutions and developing predictive models to deploying machine learning pipelines, monitoring model performance, and supporting