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

Job description

※英語の後に、日本語が続きます。

Responsibilities:

  • 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

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



募集要項

仕事内容

  • 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

必須要件

  • 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

希望要件

  • 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





Cultures:

    • 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


    Our CREDO:

    • Synergy of Spirit
      As part of Synspective, we embark on this journey together, bringing with us our combined experiences and life. As a team, we recognize that the team’s goals are my personal goals, and my goals are the team’s goals. We each share a part of the responsibility to succeed.
      I constantly communicate to align my efforts with our goal. I manage my energy and time to maximize team performance. I give more than I take. I provide value when needed and I take responsibility for my own behavior.
    • Synthesis of Knowledge
      We try to create new value under conditions that have huge uncertainty and volatility. The only way for us to succeed is to progress through trial and error that we learn from and make changes based on our new knowledge.
      I listen actively and respectfully to others’ opinions, consider it logically and examine my assumptions, and discuss it with my team constructively. I learn by doing and building upon our experiences. I aim to achieve better results with every new attempt. I accelerate the collective learning process by openly sharing experiences and knowledge with my team.
    • Synched with the Future
      We have an obligation to create a sustainable future for the next generations. To do so, we must tackle tough challenges as pioneers, leaving our comfort zones that prevent our growth.
      I recognize that a smart failure is a step toward success and try to learn from the past to solve new issues in the future. I set aggressive goals and divide them into sprint-victories in order to continue to tangibly advance and make progress. I consider the future, prepare for it, and actively engage in making it happen with quick actions and decisions.


    Compensation & 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