Senior Data Scientist

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Senior Data Scientist to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Senior Data ScientistJob Title: Senior Data Scientist Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary: 100k - 150k Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. 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. Key ResponsibilitiesDesign, build, and continuously refine scalable machine learning models, predictive analytics solutions, and statistical algorithms using Python, R, SQL, and modern machine learning frameworks, ensuring models are accurate, explainable, maintainable, and aligned with enterprise business objectives. Author clean, well-documented, and production-ready analytical code that follows established software engineering best practices, incorporates robust data validation, feature engineering, model versioning, and reproducible workflows while ensuring compliance with organizational governance and security standards. Develop data processing pipelines for structured, semi-structured, and unstructured data using Python, SQL, Spark, or equivalent technologies, enabling efficient data ingestion, transformation, feature extraction, and preparation for advanced analytics and machine learning workloads. Design and implement predictive models, recommendation systems, forecasting solutions, classification algorithms, clustering models, natural language processing (NLP), and anomaly detection systems that integrate seamlessly with enterprise applications and business processes. Actively participate in data architecture discussions, model design reviews, business requirement workshops, and technical strategy sessions by providing analytical insights, evaluating modeling approaches, and recommending scalable, data-driven solutions that balance accuracy, interpretability, and operational efficiency. Continuously evaluate and optimize model performance, feature sel