Senior Data Scientist

Bright Vision Technologies; Frisco (TX); 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 ML solutions. You will own the full data science lifecycle, from translating business problems into analytical solutions to deploying ML pipelines and monitoring performance in an Agile environment.

The ideal candidate has 6+ years of experience, strong statistics and ML knowledge, and hands-on expertise with Python, SQL, and cloud platforms (AWS/Azure/GCP).

Qualifications

• Bachelor's degree in Data Science, CS, Statistics, Mathematics, Engineering, AI, or related field.
• Five+ years of professional experience developing production-grade ML models and enterprise data science solutions.
• Strong knowledge of statistics, probability, ML algorithms, data structures, data modeling, feature engineering, model evaluation, and ML lifecycle concepts.
• Advanced Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and modern DS libraries for scalable solutions.
• Hands-on experience deploying ML models, including regression, classification, clustering, forecasting, recommendation systems, and NLP.
• Experience with relational and NoSQL databases, large-scale datasets, data warehouses, and distributed processing (Spark/Hadoop/Snowflake/Databricks/BigQuery).
• Strong SQL skills, data exploration, ETL, visualization, and BI reporting on enterprise platforms.
• GIT-based workflows, CI/CD, MLOps, deployment pipelines, code reviews, and agile software methods.
• Cloud deployment experience on AWS/Azure/GCP with managed AI/ML services and identity management.

Responsibilities

• Design, develop, deploy, and optimize enterprise-grade DS/ML solutions across domains.
• Translate business problems into analytical solutions and develop predictive models.
• Deploy ML pipelines, monitor performance, and support data-driven decision making throughout operations.

Skills

Statistics

ML lifecycle

Data engineering

Problem solving

Communication

Education

Bachelor's degree in Data Science/CS/Statistics/Math/Engineering/AI

Tools

Python

R

SQL

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

Snowflake

Databricks

BigQuery

Git

CI/CD

MLOps

AWS

Azure

GCP

Job description

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.

Job Title: Senior Data Scientist

Location:100% Remote (U.S.)

Position Type:Full-time, Direct W2

Salary Range:$160,000–$180,000 Annually

Experience Required:6+ years

Sponsorship:U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary: 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. 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 data-driven decision-making throughout the operational lifecycle. The successful candidate will bring deep expertise in statistical analysis, machine learning, predictive modeling, and data engineering, combined with strong hands‑on experience working with large‑scale structured and unstructured datasets using modern analytics platforms and cloud technologies. 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.

Required Qualifications

• 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, with the discipline to investigate complex data challenges methodically, communicate findings effectively, and translate analytical insights into actionable business recommendations.

Preferred Qualifications

• Experience designing and deploying real‑time machine learning systems, recommendation engines, streaming analytics, event‑driven architectures, or large‑scale AI applications using Kafka, Spark Streaming, or equivalent technologies.
• Familiarity with containerization and orchestration using Docker, Kubernetes, Kubeflow, MLflow, Airflow, or equivalent platforms for production machine learning operations.
• Exposure to advanced artificial intelligence concepts such as deep learning, reinforcement learning, computer vision, generative AI, large language models (LLMs), explainable AI (XAI), model fairness, and responsible AI practices.
• Experience implementing automated testing, model monitoring, feature stores, experiment tracking, data governance, MLOps best practices, and continuous machine learning delivery pipelines within enterprise Agile software development environments.

Equal Employment Opportunity (EEO) Statement

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.