Data Scientist

We are seeking a Specialist Data Scientist with strong expertise in computer vision and big data analytics to design, optimize, and deploy scalable, production-grade data science solutions. This role blends hands-on machine learning—particularly YOLO-based object detection—with big data engineering and cloud-native deployment. You will work closely with cross-functional teams to turn complex datasets into actionable, real-time insights that drive measurable business impact.

• Lead the design and implementation of scalable big data solutions and advanced analytics frameworks.
• Develop, fine-tune, and retrain YOLO-based computer vision models for object detection use cases.
• Optimize models for edge and production deployment using techniques such as quantization and distillation.
• Build and deploy machine learning models integrated into production systems for real-time insights.
• Design and optimize data models, pipelines, and algorithms to solve complex business challenges.
• Leverage big data technologies (Hadoop, Spark, No
  
  SQL) to process and analyze large-scale datasets.
• Containerize FastAPI-based services using Docker and publish results to message brokers.
• Operate within Kubernetes-based production environments on Google Cloud Platform.
• Collaborate with stakeholders to translate business requirements into data-driven strategies.
• Continuously improve data science and analytics processes for efficiency, scalability, and impact.

• 8+ years of experience in data science, machine learning, or big data engineering.
• Strong experience with YOLO-based computer vision models and modern ML frameworks.
• Proficiency in Python
  ; experience with Type Script is a plus.
• Hands-on experience with Docker for containerization and service deployment.
• Working knowledge of Kubernetes and Google Cloud Platform in production environments.
• Experience with big data technologies such as Hadoop, Spark, Hive
  , and No
  
  SQL databases (e.g., Cassandra, Mongo
  
  DB).
• Strong background in statistical analysis, data mining, and predictive modeling.
• Experience building scalable architectures and optimizing data pipelines (ETL).
• Strong problem-solving skills and the ability to make data-driven decisions in complex environments.

• YOLO-based models & machine learning frameworks

• Master’s or PhD in Data Science, Computer Science, Engineering, or a related field.
• Experience deploying enterprise-scale big data or ML solutions (finance, healthcare, retail a plus).
• Experience with real-time data and stream processing (Kafka, Flink).
• Familiarity with BI tools and presenting insights to non-technical stakeholders.
• Experience deploying data science solutions using Docker and Kubernetes.