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About the Role

We are seeking an accomplished 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. 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 data-driven decision-making throughout the operational lifecycle. You will work closely with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile environment to deliver scalable, accurate, and impactful data science solutions that directly support strategic business outcomes.

Responsibilities

Design, develop, deploy, and optimize enterprise-grade data science and machine learning solutions.
Translate business problems into analytical solutions.
Develop predictive models.
Deploy machine learning pipelines.
Monitor model performance.
Support data-driven decision-making.
Collaborate with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile environment.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related quantitative discipline.
Five or more years of professional experience developing production-grade machine learning models, predictive analytics solutions, and enterprise data science applications.
Strong, demonstrable understanding of statistics, probability, machine learning algorithms, data structures, data modeling, feature engineering, model evaluation techniques, and end-to-end machine learning lifecycle principles.
Advanced working knowledge of Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and modern data science libraries for building scalable analytical solutions.
Hands-on, production-level experience designing, training, validating, deploying, and monitoring machine learning models, including regression, classification, clustering, forecasting, recommendation systems, and natural language processing applications.
Proven experience working with relational and NoSQL databases, large-scale datasets, data warehouses, and distributed data processing platforms such as Spark, Hadoop, Snowflake, Databricks, or BigQuery.
Strong SQL skills and meaningful experience performing data exploration, feature engineering, query optimization, ETL development, data visualization, and business intelligence reporting using enterprise data platforms.
Solid experience with Git-based version control workflows, CI/CD processes, MLOps practices, model deployment pipelines, code review processes, and collaborative software development methodologies.
Hands-on experience deploying machine learning solutions on at least one major cloud platform (AWS, Azure, or GCP), including managed AI/ML services, storage, networking, and identity management capabilities.
Strong debugging, analytical thinking, problem-solving, and root-cause analysis skills.
Ability to investigate complex data challenges methodically.
Ability to communicate findings effectively.
Ability to translate analytical insights into actionable business recommendations.

Skills

Python
R
SQL
Scikit-learn
TensorFlow
PyTorch
Pandas
NumPy
Statistical analysis
Machine learning
Predictive modeling
Data engineering
Large-scale structured and unstructured datasets
Modern analytics platforms
Cloud technologies
Relational databases
NoSQL databases
Data warehouses
Distributed data processing platforms (Spark, Hadoop, Snowflake, Databricks, BigQuery)
ETL development
Data visualization
Business intelligence reporting
Git-based version control
CI/CD processes
MLOps practices
Model deployment pipelines
Code review processes
AWS
Azure
GCP
Debugging
Analytical thinking
Problem-solving
Root-cause analysis

Location

100% Remote (U.S.)

Work Type

Full-time
Direct W2

Experience Level

6+ years

Education Level

Bachelor's degree

Salary/Compensations

$160,000–$180,000 Annually

About the Company

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Equal Opportunity

Bright Vision Technologies is an Equal Opportunity Employer
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws.
This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination.
Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.