Senior Data Scientist – Remote ML & Cloud Solutions

Bright Vision Technologies; Overland Park (KS); Remote; USD 160,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking an accomplished Senior Data Scientist to design, develop, deploy, and optimize enterprise-grade data science and ML solutions across multiple domains. You will own the full data science lifecycle—from problem framing to model deployment—working with stakeholders, data engineers, software developers, and product managers in an Agile environment.

The ideal candidate brings deep expertise in statistics, ML, data engineering, and hands-on experience with

Qualifications

• Bachelor's degree in a quantitative field (Data Science, CS, Stats, Math, Eng, AI).
• 6+ years of professional experience delivering production-grade ML models and enterprise data science apps.
• Strong foundation in statistics, ML algorithms, data modeling and end-to-end ML lifecycle.

Responsibilities

• Design, develop, deploy, and optimize enterprise ML solutions.
• Translate business problems into analytical solutions and models.
• Deploy ML pipelines, monitor performance, and support data-driven decisions.

Skills

Python

SQL

R

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

Snowflake

Databricks

BigQuery

Git

CI/CD

MLOps

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or related quantitative discipline

Tools

Spark

Hadoop

Snowflake

Databricks

BigQuery

Kafka

Docker

Kubernetes

Kubeflow

MLflow

Airflow

Job description

Bright Vision Technologies is seeking an accomplished Senior Data Scientist to design, develop, deploy, and optimize enterprise-grade data science and ML solutions across multiple domains. You will own the full data science lifecycle—from problem framing to model deployment—working with stakeholders, data engineers, software developers, and product managers in an Agile environment.

The ideal candidate brings deep expertise in statistics, ML, data engineering, and hands-on experience with