Data Scientist - Aviation Analytics & Prescriptive AI

Job Description

Role Overview:ADTCore, a dynamic technology startup based in India, is seeking a Data Scientist to join their team in Hyderabad. This full-time hybrid role offers flexible work-from-home opportunities. As a Data Scientist at ADTCore, you will be responsible for designing and validating analytical models for reliability, time-series health monitoring, and prescriptive decision support. Your role will involve transforming operational and engineering data into explainable insights to support maintenance planning, fault detection, and operational decision-making. You will collaborate closely with domain experts, software engineers, and product leadership to ensure that analytical outputs are scientifically robust, operationally meaningful, and production-ready.Key Responsibilities:- Design and validate analytical models for reliability, time-series health monitoring, and prescriptive decision support- Transform operational and engineering data into explainable insights for maintenance planning, fault detection, and operational decision-making- Collaborate with domain experts, software engineers, and product leadership to ensure analytical outputs are scientifically robust, operationally meaningful, and production-readyQualifications Required:- Bachelors or Masters degree in Data Science, Statistics, Computer Science, Applied Mathematics, Aeronautical Engineering, or related fields- 36 years of experience in data science, machine learning, or statistical modeling- Strong experience with Python and data science libraries (NumPy, Pandas, SciPy, scikit-learn, PyTorch/TensorFlow)- Experience working with time-series datasets- Strong knowledge of statistical modeling, probability theory, and model evaluation techniques- Experience with data visualization and exploratory analysisPreferred Qualifications:- Experience working with industrial, sensor, IoT, or operational datasets- Knowledge of reliability engineering or predictive maintenance- Familiarity with survival analysis, anomaly detection, or degradation modeling- Experience deploying models in production environments- Exposure to large-scale analytics systems or cloud data platformsCompany Details:ADTCore is a forward-thinking organization committed to leveraging cutting-edge technologies to drive innovation and deliver impactful solutions. The company specializes in Data Science, Analytics, Machine Learning, digital transformations, and engineering technology. With a diverse team of experts across industries such as Aerospace and High-Tech, ADTCore offers the opportunity to work on AI-driven aviation technology with global relevance. Joining ADTCore provides the chance to build models that directly impact safety, reliability, and operational efficiency while collaborating with a highly specialized engineering and aviation team on a next-generation analytics platform for aviation operations. Role Overview:ADTCore, a dynamic technology startup based in India, is seeking a Data Scientist to join their team in Hyderabad. This full-time hybrid role offers flexible work-from-home opportunities. As a Data Scientist at ADTCore, you will be responsible for designing and validating analytical models for reliability, time-series health monitoring, and prescriptive decision support. Your role will involve transforming operational and engineering data into explainable insights to support maintenance planning, fault detection, and operational decision-making. You will collaborate closely with domain experts, software engineers, and product leadership to ensure that analytical outputs are scientifically robust, operationally meaningful, and production-ready.Key Responsibilities:- Design and validate analytical models for reliability, time-series health monitoring, and prescriptive decision support- Transform operational and engineering data into explainable insights for maintenance planning, fault detection, and operational decision-making- Collaborate with domain experts, software engineers, and product leadership to ensure analytical outputs are scientifically robust, operationally meaningful, and production-readyQualifications Required:- Bachelors or Masters degree in Data Science, Statistics, Computer Science, Applied Mathematics, Aeronautical Engineering, or related fields- 36 years of experience in data science, machine learning, or statistical modeling- Strong experience with Python and data science libraries (NumPy, Pandas, SciPy, scikit-learn, PyTorch/TensorFlow)- Experience working with time-series datasets- Strong knowledge of statistical modeling, probability theory, and model evaluation techniques- Experience with data visualization and exploratory analysisPreferred Qualifications:- Experience working with industrial, sensor, IoT, or operational datasets- Knowledge of reliability engineering or predictive maintenance- Familiarity with survival analysis, anomaly detection, or degradation modeling- Experience deploy

Keyskills :
PythonData ScienceStatisticsMachine LearningStatistical ModelingNumPySciPyData VisualizationReliability EngineeringPredictive MaintenanceSurvival AnalysisAnomaly DetectionPandasscikitlearnPyTorchTensorFlowTimeseries DatasetsProbability Th