Applied Scientist

Your responsibility:
  • Research and develop innovative geo-solutions for client issues
    This includes:
    1. Deeply investigate the latest advances in relevant fields (machine learning, computer vision, and remote sensing) and design your own methods by handpicking, customizing, combining, or devising algorithms
    2. Choose, combine, and process appropriate satellite/geographic datasets depending on tasks
    3. Perform experiments to check the feasibility/validity of your own methods and dataset
    4. Summarize and report results in a clear and easy-to-understand manner
  • Implement statistical and machine learning technologies and help software engineers deploy them into production
  • Proactively find research themes and address them
  • Partner closely with business staff and judge the feasibility of potential business ideas based on your technical knowledge before they are put into practice
  • Continuously improve you and your team’s skills

Minimum qualification: 
  • Basic knowledge of statistics and machine learning
  • Research experience in the field of machine learning
  • Experience with Linux and Python
  • Experience with TensorFlow or PyTorch to run experimental workflows
  • Ability to read academic papers without difficulty and select, combine, and implement technical approaches to solve problems
  • Motivation to learn new things and share them with the team
  • Excellent oral and written communication skills in English to convey techniques and results of analyses concisely to both experts and non-experts 

Preferred qualification: 
  • Master’s degree or Ph.D. in computer science, statistics, machine learning, applied math, data science, or equivalent field 
  • Practical experience in applying machine learning, computer vision, or image processing to solve real-world problems 
  • Experience in implementing your own algorithm and deploying it into production 
  • Publications at peer-reviewed conferences or journals  
  • Experience in reproducing papers  
  • Experience with Docker, GCP, and scientific Python ecosystem (NumPy, Pandas, Jupyter, and so forth)  
  • Experience in handling satellite images or GIS data  
  • Knowledge of the generation process of electro-optical or SAR satellite imagery  
  • Knowledge of characteristics of many different satellite image products  
  • Experience and familiarity with Japanese culture/language 

Culture:
  • Mission:
    Synthetic Data for Perspective on Sustainable Development

  • Vision:
    Efficient, accountable and resilient world

  • Business
    1. Solution services with satellite data
    2. Development and operation of small SAR satellites 

  • Behavior:
    Time is the most important resource. We, as one team, aim to achieve the best results in the shortest time.

    1. Fairness
      • Respect each member’s lifestyle, experiences, culture and mission
      • Be honest to data
      • Appreciate counter opinions and feedback

    2. Efficiency
      • Take a control of your time and be responsible to your performance
      • Make recurring tasks automated
      • Carry out through “selection and concentration”

    3. Proactiveness
      • Proactively identify problems and act immediately
      • Never afraid to fail
      • Be candid and ask team for help whenever needed

    4. Collective Intelligence
      • Individual growth leads to team growth. Keep learning and share with the team
      • Be social and expand your network. Use external resources as necessary

Compensation & Arrangement: 
  • Employment system: Full-time(Nontenured). All members are contract-based employees. The contract is renewed in every 6 months based on Management by objective to assist individual growth and team growth
  • Benefits: Commuting expense, health insurance, employees' pension insurance
  • Flexible work-hour and location
  • Others: Part-Time or second job allowed 

http://synspective.com

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