Senior Data Scientist
About The Position
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 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. 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
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
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
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.
- Expert in Python, R, and SQL; familiarity with Scala or Julia.
- Proficiency in ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost).
- Strong experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
