Senior Data Scientist - Remote ML/AI Innovator

Bright Vision Technologies; Oregon; Hybrid; 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 machine learning solutions across multiple domains. You will lead the complete data science lifecycle, from problem translation to predictive modeling and pipeline deployment in a cloud environment.

You will collaborate with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile setting

Qualifications

• Bachelor-level degree in a data/quantitative field.
• 5+ years of professional experience building production ML models.
• Strong understanding of statistics, ML algorithms, features, and lifecycle.
• Proficiency with Python/R/SQL and ML libraries.
• Experience deploying ML models and monitoring performance.
• Experience with relational and NoSQL databases and big data tools.
• Solid SQL skills and data visualization/business intelligence basics.
• Experience with Git, CI/CD, and MLOps practices.
• Hands-on cloud experience (AWS/Azure/GCP).
• Strong problem-solving and communication skills.

Responsibilities

• Translate business problems into analytical solutions and predictive models.
• Develop, deploy, monitor, and optimize ML pipelines and models.
• Collaborate with data engineers, software developers, product managers in Agile teams.
• Ensure data quality and governance across large-scale datasets.
• Provide data-driven insights to support strategic decisions.

Skills

Analytical thinking

Problem solving

Cross-functional collaboration

Communication

Education

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

Tools

Python

R

SQL

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

Snowflake

Databricks

BigQuery

Cloud platforms (AWS, Azure, GCP)

Job description

Bright Vision Technologies is seeking an accomplished Senior Data Scientist to design, develop, deploy, and optimize enterprise-grade data science and machine learning solutions across multiple domains. You will lead the complete data science lifecycle, from problem translation to predictive modeling and pipeline deployment in a cloud environment.

You will collaborate with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile setting