Data Scientist at Expert Technology Services

Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn. A client is seeking a Data Scientist to join their team in Orlando FL. Summary: In this role the Data Scientist will design implement and maintain advanced data pipelines and analytical frameworks that feed into cutting-edge AI models. They will collaborate with machine learning engineers AI architects and domain experts to ensure datasets are high-quality well-structured and optimized for model training and deployment. By transforming raw data into actionable insights the Data Scientist will be a crucial enabler of scalable reliable AI solutions for real-world energy applications. Data Engineering: * Design build and optimize scalable data pipelines for acquiring and processing large complex datasets (e.g. IoT sensors 2D/3D imaging) * Implement and manage ETL (Extract Transform Load) processes to prepare data for AI model training * Monitor and maintain data integrity quality and accessibility throughout the AI development lifecycle * Develop and enforce standards for data governance storage and security Data Science: * Perform exploratory data analysis (EDA) to identify trends anomalies and patterns relevant to AI objectives * Conduct data preprocessing feature engineering and labeling to create machine learning-ready datasets * Collaborate with machine learning engineers to inform model architecture choices and training strategies * Validate AI models by applying advanced statistical analysis and performance evaluation metrics Collaboration and Integration: * Partner with multidisciplinary teams to integrate trained AI models into operational systems * Ensure data workflows and model pipelines are reusable flexible and well documented for future development cycles * Support iterative improvement processes by analyzing model performance and adjusting data inputs accordingly Required Skills : * Bachelor s or Master s degree in Computer Science Data Science Engineering Mathematics or a related field * Proven experience in data engineering and/or data science preferably with large-scale sensor or geospatial data * Proficiency in Python SQL and ML frameworks such as TensorFlow or PyTorch * Familiarity with 2D/3D data formats point cloud processing and GIS tools is a strong plus * Solid understanding of machine learning concepts and experience supporting AI/ML model development * Strong analytical and problem-solving skills with attention to detail and data quality * Excellent communication skills in English (spoken and written); German is a plus * Ability to work independently and collaboratively in a fast-paced agile environment Preferred Qualifications * Experience with DevOps CI/CD pipelines and containerization (Docker Kubernetes) * Knowledge of MLOps practices and model deployment in production environments * Familiarity with scientific literature and research best practices Basic Qualification : Additional Skills : Background Check : No Drug Screen : No Rank :B1 Requested Date : Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full Time Experience: years Vacancy: 1