Padran Inc.
As Padran Information Technologies, we are looking for teammates who are focused on growth and success! In this position, you will work for our clients that we provide consultancy and you will take part in projects in Turkey's leading companies.
We are looking for a
Senior Data Scientist
who meets the following qualifications for our consulting business partner. Education & Experience Requirements:
Bachelor’s or Master’s in Data Science, Statistics, Engineering, Computer Science, or a related field. 4+ years of hands‑on experience in data science, with demonstrated expertise in model building and data analysis. Technical Skills & Expertise:
Proficiency in Python for data manipulation, analysis, and model development. Time Series Modeling: Proficiency with ARIMA, LSTM, Transformer-based architectures, and anomaly detection models for time series data. Sensor Data Expertise: Hands‑on experience working with high‑frequency, irregularly sampled data from sensors. Manufacturing & Industrial Sensor Data: Familiarity with data originating from IoT devices, PLCs (Programmable Logic Controllers), SCADA systems, or similar sources. Data Processing: Skilled in processing, cleaning, and analyzing machine‑generated data such as vibration, temperature, and pressure measurements. Application Areas: Practical experience in predictive maintenance, anomaly detection, or process optimization projects. Familiarity with database systems, data lakes, and warehousing solutions. Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments. Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry‑specific challenges. Knowledge of edge computing and IoT integration for smart factories is a plus. Strong understanding of business processes and the application of advanced analytics to solve industry‑specific problems. Verbal and written communication skills in English. Job Responsibilities:
Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy. Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability. Develop predictive quality models to assess product quality and reduce waste, with a focus on high‑quality production standards. Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions. Oversee the end‑to‑end lifecycle of machine learning models, from development through deployment, monitoring, and retraining. Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms. Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems. Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions. Communicate complex analytical insights effectively to both technical and non‑technical stakeholders, ensuring alignment with business goals. Why Padran Information Technologies?
Opportunity to work with leading companies in Turkey Opportunity to use industry‑leading technologies with our business partners Microsoft, IBM, AWS and Open Text Career development and certification opportunities as an ISTQB accredited training center
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Senior Data Scientist
who meets the following qualifications for our consulting business partner. Education & Experience Requirements:
Bachelor’s or Master’s in Data Science, Statistics, Engineering, Computer Science, or a related field. 4+ years of hands‑on experience in data science, with demonstrated expertise in model building and data analysis. Technical Skills & Expertise:
Proficiency in Python for data manipulation, analysis, and model development. Time Series Modeling: Proficiency with ARIMA, LSTM, Transformer-based architectures, and anomaly detection models for time series data. Sensor Data Expertise: Hands‑on experience working with high‑frequency, irregularly sampled data from sensors. Manufacturing & Industrial Sensor Data: Familiarity with data originating from IoT devices, PLCs (Programmable Logic Controllers), SCADA systems, or similar sources. Data Processing: Skilled in processing, cleaning, and analyzing machine‑generated data such as vibration, temperature, and pressure measurements. Application Areas: Practical experience in predictive maintenance, anomaly detection, or process optimization projects. Familiarity with database systems, data lakes, and warehousing solutions. Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-Learn) and model deployment in production environments. Prior experience in manufacturing or energy is advantageous, with a strong understanding of processes and industry‑specific challenges. Knowledge of edge computing and IoT integration for smart factories is a plus. Strong understanding of business processes and the application of advanced analytics to solve industry‑specific problems. Verbal and written communication skills in English. Job Responsibilities:
Design, build, and deploy advanced time series and forecasting models to tackle critical challenges in manufacturing and energy. Implement and optimize algorithms to forecast trends and anomalies in production data, ensuring scalability, accuracy, and reliability. Develop predictive quality models to assess product quality and reduce waste, with a focus on high‑quality production standards. Apply knowledge of manufacturing and energy processes to effectively interpret data insights and drive impactful solutions. Oversee the end‑to‑end lifecycle of machine learning models, from development through deployment, monitoring, and retraining. Utilize ML engineering practices to containerize and automate model deployment using tools like Docker, Kubernetes, or similar platforms. Implement robust data pipelines and ETL processes for streaming and batch data to ensure seamless data flow across systems. Collaborate closely with domain experts, data engineers, DevOps, and product managers to define project requirements and implement solutions. Communicate complex analytical insights effectively to both technical and non‑technical stakeholders, ensuring alignment with business goals. Why Padran Information Technologies?
Opportunity to work with leading companies in Turkey Opportunity to use industry‑leading technologies with our business partners Microsoft, IBM, AWS and Open Text Career development and certification opportunities as an ISTQB accredited training center
#J-18808-Ljbffr