Senior Data Scientist: Time Series & IoT, Remote

Padran Inc.; Fatih; Hybrid; TRY 300,000 - 540,000; Full time

Benefits offered by this job

Remote work

Hybrid work model

Job summary

Padran Information Technologies is seeking a Data Scientist to join our consulting team in Turkey. You will work on projects for leading companies, building models, analyzing sensor data, and delivering actionable insights.

Strong time series and IoT data experience are essential for predictive maintenance and operational optimization. We value Python expertise, experience with ML frameworks, and English communication skills.

Qualifications

• Bachelor’s or Master’s in Data Science, Statistics, Engineering, CS or related field.
• 4+ years hands-on data science with model building and analysis.
• Proficient Python for data manipulation and model development.
• Experience with time series modeling and anomaly detection.
• Familiarity with IoT, PLCs/SCADA data and manufacturing analytics.
• Strong knowledge of data lakes, warehousing and deployment in production.

Responsibilities

• Develop and deploy time series models for predictive maintenance and process optimization.
• Work with sensor data (high-frequency, irregular samples) from IoT devices.
• Collaborate with clients to translate business problems into analytics solutions.
• Advance data processing, cleaning, and exploration of machine-generated data.

Skills

Python

Time series

Sensor data

ML frameworks

IoT data

Forecasting

Data analysis

English proficiency

Education

Bachelor’s or Master’s in Data Science / Statistics / Engineering / CS

Tools

TensorFlow

PyTorch

Scikit-learn

SQL

Data Lakes

Job description

Padran Information Technologies is seeking a Data Scientist to join our consulting team in Turkey. You will work on projects for leading companies, building models, analyzing sensor data, and delivering actionable insights.

Strong time series and IoT data experience are essential for predictive maintenance and operational optimization. We value Python expertise, experience with ML frameworks, and English communication skills.