پیشرو ابتکار و دانش | Pishro Ebtekar and Danesh

استخدام Remote) Data Science Engineer)

  • دسته‌بندی شغلی

    وب،‌ برنامه‌نویسی و نرم‌افزار
  • موقعیت مکانی

    تهران ، تهران
  • نوع همکاری

    تمام وقت دورکاری
  • حداقل سابقه کار

    مهم نیست
  • حقوق

    توافقی

شرح موقعیت شغلی

 Our company in the field of engineering, data intelligence, and AI-driven diagnostics, is seeking a highly skilled Mechanical / Signal Processing Engineer specializing in condition monitoring and profilometry analysis. The candidate will work on advanced sensor-based diagnostics, surface analysis, and fault detection in mechanical systems using signal processing, AI models and engineering-driven methodologies. If you are passionate about applying deep technical expertise to real-world industrial challenges and want to contribute to an international, engineering-focused environment, this role is ideal for you.



Responsibilities


  • Develop signal-processing algorithms for time-series and spatial profile data (FFT, filtering, spectral analysis, envelope detection, trend decomposition)
  • Build and validate alarm/threshold logic and event-detection rules for actionable maintenance triggers
  • Integrate multi-sensor inputs and fuse them into consolidated condition metrics
  • Evaluate ML or hybrid (rule , ML) approaches for anomaly detection and propose production steps
  • Validate sensor quality, calibration checks, and data lineage for each KPI
  • Support root-cause investigations, and help refine KPI definitions
  • Collaborate closely with the Machine Vision team: consuming their extracted variables and providing feedback to improve measurement quality and metadata
  • Identify and investigate data anomalies, inconsistencies, and quality issues
  • Prepare clear documentation, analytical reports, and summaries for internal teams


Requirements


  • Bachelor’s or higher in Mechanical Engineering, Electrical Engineering, Mechatronics, Signal Processing, or related fields
  • Strong background in mathematics & signal processing (time and frequency domain): filtering, FFT/PSD, envelope analysis, cross-correlation
  • Proficiency in Python and signal/array libraries (NumPy, SciPy)
  • Ability to recognize patterns, interpret sensor behavior, and extract meaningful insights
  • Strong documentation, organization, and task-tracking skills
  • Ability to work independently while collaborating effectively with technical teams
  • Professional English proficiency (upper-intermediate or higher), with the ability to read and fully comprehend technical documentation, research papers, and standards, and to prepare clear technical reports when required
  • Strong intellectual curiosity and proactive learning mindset, with the ability to rapidly adapt, independently acquire new domain knowledge, and integrate emerging technologies and AI advancements into diagnostic and signal-processing practices.


Preferred Qualifications (Nice-to-have)


  • Familiarity with fault diagnosis and fault detection
  • Experience with engineering or sensor datasets (acceleration, vibration, video profiling, etc.) and extracting diagnostic features from them
  • Understanding of signal-quality metrics, trend analysis, or event detection
  • Experience with accelerometer/vibration analysis and condition monitoring toolchains
  • Practical experience with profilometry, point-clouds, laser scanner data, or precision mechanical measurement workflows
  • Experience with MATLAB
  • Experience with AI & machine learning workflows
  • Basic experience with computer vision; (helpful for cross-team discussions, but not required)



Personal & Ethical Qualities 


  • Teamwork spirit and cross-functional communication skills
  • Desire to grow, learn, and take ownership of tasks
  • Organization and responsibility in task execution with strong time-management and task prioritization skills
  • Systems thinking and the ability to understand complex, multi-component engineering workflows
  • Clear technical presentation and reporting capabilities
  • Analytical mindset and problem-solving attitude
  • Commitment, perseverance, and attention to detail
  • Creative thinker capable of generating value-added insights and new features from data


Working Conditions


  • position (Full-time (preferred) — Part-time negotiable based on alignment)
  • Working days: Sunday to Thursday
  • Working hours: Flexible schedule based on project needs
  • Type of employment: Remote

معرفی شرکت

شرکت دانش بنیان پیشرو ابتکار و دانش، از واحدهای فناور مرکز رشد دانشگاه صنعتی شریف، پس از فعالیت‌ در داخل کشور، در حال صادرات تجهیزات و محصولات خود در زمینه فناوری اطلاعات (iot) در صنعت ریلی به اتحادیه اروپا می باشد.
  • زبان‌های مورد نیاز

    انگلیسی
  • مهارت‌های مورد نیاز

    Data science Python numpy
  • جنسیت

    مهم نیست
  • وضعیت نظام وظیفه

    مهم‌ نیست
  • حداقل مدرک تحصیلی

    مهم نیست

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