Job ID : 1122487 Date Updated : April 20th, 2021
Let's reinvent our future together!

Senior Applied Scientist / シニア アプライドサイエンティスト

Hiring Company 株式会社Synspective
Location Tokyo - 23 Wards, Koto-ku
Job Type Permanent Full-time
Salary 5.5 million yen ~ Negotiable, based on experience

Job Description

We are developing an industry-specific SaaS model service that utilizes satellite data.

Combining new geospatial and terrestrial data through data science, we aim to support data-driven decision making, business growth, and risk management.

Job description



  • Research and develop innovative geo-solutions, including:
    • 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
    • Choose, combine, and process appropriate satellite/geographic datasets depending on tasks
    • Perform experiments to check the feasibility/validity of your own methods and dataset
    • 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





  • 衛星データおよびその他地理空間情報を用いたソリューション開発のR&Dフェーズを遂行する
    • 論文サーベイに基づくアプローチの選択
    • 使用する衛星画像プロダクトやその他必要なデータの選択
    • データセット構築、モデリング、評価
    • 成果報告
  • エンジニアリングチームと協働してR&Dの成果をSaaSプロダクトに実装する
  • チームや会社にとって意味のあるR&D課題を見出し、データサイエンスの問題設定に落とし込む
  • ビジネスアイデアの実現可能性を評価し、セールスチームと協働してプロジェクトの妥当なゴールを設定する
  • 自己およびチームの継続的な技術力向上に取り組む

General Requirements

Minimum Experience Level Over 3 years
Career Level Mid Career
Minimum English Level Business Level
Minimum Japanese Level Native
Minimum Education Level Bachelor's Degree
Visa Status No permission to work in Japan required

Required Skills

Job requirements

Minimum qualifications:

  • 3+ years of practical experience in applying machine learning, computer vision, image processing, or related fields of technologies to solve real-world problems
  • Strong knowledge and implementation skill of statistics and machine learning algorithms
  • 3+ years of hands-on experience with Linux, Python, and scientific Python ecosystem (NumPy, Pandas, Jupyter, and so forth)
  • Experience with deep learning frameworks (TensorFlow, PyTorch, and so forth) 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
  • Good oral and written communication skills in English to convey techniques and results of analyses concisely to both experts and non-experts

Preferred qualifications:

  • Master’s degree or Ph.D. in computer science, statistics, machine learning, applied math, data science, or equivalent field
  • 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 and GCP
  • 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


  • 機械学習、コンピュータビジョン、画像処理等の実務経験3年以上
  • 統計および機械学習理論に関する卓越した知識とそれらの実装能力
  • Linux、Python、およびscientific Python ecosystem(NumPy、Pandas、Jupyterなど)の使用経験3年以上
  • ディープラーニングフレームワーク(TensorFlow、PyTorchなど)を用いて、データセット構築からモデル評価までの一連の機械学習ワークフローを実行した経験
  • 適切な論文サーベイに基づいてタスクに最適なアプローチを選択するスキル
  • 学習意欲
  • 分析結果や技術について、専門家および非専門家に英語で説明(口頭説明および文書作成)できる程度のコミュニケーション力


  • コンピュータサイエンス、統計学、機械学習、応用数学、データサイエンス等の分野における修士号または博士号
  • 機械学習・コンピュータビジョンのアルゴリズムをサービスや製品に実装した経験
  • 査読付き学会や学術誌における採択経験
  • 論文追試経験
  • Docker、GCPの使用経験
  • 衛星画像やGISデータのハンドリング経験
  • 光学衛星画像やSAR衛星画像の観測・生成過程に関する知識
  • 各種衛星画像プロダクトの仕様に関する知識


Synthetic Data for Perspective on Sustainable Development

Efficient, accountable and resilient world


  • Solution services with satellite data
  • Development and operation of small SAR satellites

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

Conpensation & Arrangements

  • 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

Job Location

  • Tokyo - 23 Wards, Koto-ku
  • Hanzomon Line, Kiyosumi Shirakawa Station

Work conditions

Job Type Permanent Full-time
Salary 5.5 million yen ~ Negotiable, based on experience
Job Division Solutions Development Department
Hiring Company Information


Senior Applied Scientist / シニア アプライドサイエンティスト - 1122487

Company Description

Democratizing SAR satellite data to deploy meaning insights anytime, anywhere is what drive as. At Synspective, we are developing an industry-specific SaaS platform and services to make visible what has been traditionally invisible.

Combining new geospatial and terrestrial data through applied analytics, we aim to support data-driven decision making where it most matters: on everyday business operations.

Important business and technological milestones since our inception - USD 100M funding and the launch of our first SAR satellite, to name few -  have helped us start developing a family of geo-intelligence SaaS Services. 

In our journey, we have already welcomed more than 90 talented professionals in the fields of satellite engineering and software solutions development, now we are waiting for you.