- Location & Work Type: Local hybrid position, no sponsorship or corp-to-corp arrangements
- Role: Specialist Data Scientist (Big Data & Computer Vision, Hybrid, Local Applicants Only)
- Modeling Focus: Expertise in computer vision, especially YOLO-based object detection models
- Model Optimization: Fine-tune/retrain models; apply quantization and distillation for edge deployment
- Containerization: Proficient with Docker for FastAPI web services and message broker integration
- Cloud & Orchestration: Familiar with Kubernetes and Google Cloud Platform for production workflows
- Programming: Strong skills in Python and Typescript; scalable architecture experience preferred
- Big Data Technologies: Advanced knowledge of Hadoop, Spark, Hive, NoSQL databases (Cassandra, MongoDB)
- Machine Learning: Build and deploy ML models for real-time, production environments
- Analytics: Conduct advanced statistical analysis, predictive modeling, and derive actionable insights
- Collaboration: Work with cross-functional teams to translate business requirements into data strategies
- Process Improvement: Continuously optimize data science workflows for scalability and efficiency
- Experience: 8+ years in data science/big data; strong in analytics, ML, and cloud platforms (AWS/Azure/GCP)
- Bonus Skills: Advanced degree, enterprise deployment experience, real-time/stream processing (Kafka, Flink), BI tools, and stakeholder communication


Top Required Skills:
- YOLO-based model development and ML frameworks
- Docker (containerization)
- Kubernetes and GCP exposure
- Big data processing/engineering (Hadoop/Spark/NoSQL)
- Strong programming (Python, Typescript, Scala, R, or Java)
- Statistical analysis and predictive modeling

Preferred Qualifications:
- Advanced academic degree (Master's/PhD)
- Experience deploying solutions in finance/healthcare/retail
- Real-time data and stream processing expertise
- BI and data visualization skills