Senior Data Scientist

Bright Vision Technologies • Bridgewater, NJ

5h • Remote

About The Position

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning, and AI initiatives across enterprise-scale projects. The ideal candidate will have deep expertise in statistical modeling, big data processing, and cloud-native ML platforms, with the ability to translate complex data into actionable business strategies.

Requirements

• Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.
• 7+ years in data science, machine learning, or AI roles.
• Advanced statistical modeling and machine learning.
• Strong coding skills in Python, R, SQL.
• Experience with big data tools (Spark, Hadoop, Databricks).
• Cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
• Data visualization and BI tools.
• Strong analytical and problem-solving mindset.
• Excellent communication and stakeholder management.
• Ability to lead projects and mentor teams.
• Candidates must be eligible for new H-1B filing OPT, STEM OPT, CPT (with required experience), H-1B transfer, All filings will be handled as per USCIS and DOL compliance guidelines

Nice To Haves

• Microsoft Certified: Azure Data Scientist Associate (DP-100)
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• TensorFlow Developer Certificate
• Databricks Certified Machine Learning Professional
• SAS Certified AI & Machine Learning Professional
• Bachelor's or Master's degree in Computer Science, Engineering, or related field

Responsibilities

• Define and drive data science roadmaps aligned with business goals.
• Lead end-to-end ML/AI projects from data collection to deployment.
• Mentor junior data scientists and analysts, fostering a culture of innovation.
• Develop predictive and prescriptive models using regression, classification, clustering, and deep learning.
• Apply NLP, computer vision, and recommendation systems to solve business problems.
• Conduct A/B testing, causal inference, and experiment design
• Work with distributed data frameworks (Spark, Hadoop, Databricks).
• Build scalable ML pipelines on Azure ML, AWS SageMaker, or Google Vertex AI.
• Integrate models into production using MLOps practices.
• Partner with data engineers to design robust ETL pipelines.
• Ensure data quality, governance, and lineage across systems.
• Work with structured, semi-structured, and unstructured data sources.
• Translate technical findings into clear business insights.
• Present results to executives and stakeholders using storytelling and visualization.
• Drive adoption of AI/ML solutions across departments.

Benefits

• Opportunity to work with leading enterprise clients
• Transparent H-1B process and long-term project visibility
• Strong recruiter and legal support
• Career growth across multiple technology domains we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.
• Position offered by “No Fee agency.”
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree