Applied Scientist Manager / アプライド サイエンティストマネージャー

Job description

※英語の後に、日本語が続きます。

Objectives:

  • Manage and encourage the Applied Science Unit members including management by objectives and expertise development

  • Oversee and lead the development of geo-solutions in line with the business strategy working closely with sales and engineering teams

  • Provide technical supervision and optimize R&D process to maximize Applied Scientist team’s performance

  • Help develop long-term technology roadmaps of solution development from a company-wide perspective

  • Provide mentorship and career guidance to the members and hire highly skilled scientists to cause continuous growth of your team



Job requirements

Minimum qualifications:

  • 5+ 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

  • 2+ years of hands-on technical leadership and people management experience

  • Ability to effectively communicate and collaborate with both experts and non-experts in Japanese as well as English


Preferred qualifications:

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

  • Publications at peer-reviewed conferences or journals

  • Experience in handling satellite images or GIS data

  • Knowledge of the generation process of electro-optical or SAR satellite imagery





募集要項

仕事内容

  • Applied Science Unitにおける目標管理、人材開発などを含めたチームマネジメントを行う

  • セールスチームおよびエンジニアリングチームと連携して、事業戦略に沿ったソリューション開発の調整、意思決定、メンバーアサイン、サポートを行う

  • 技術面のsupervisionおよびR&Dプロセスの改善により、チームのパフォーマンスを最大化する

  • 全社的な視点で、中長期的なソリューション開発の技術戦略策定に寄与する

  • メンタリングや採用を通じてチームを常に成長させる


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5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

  • 技術チームのマネジメント経験3年以上

  • 日本語および英語のコミュニケーション能力


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

  • 査読付き学会や学術誌における採択経験

  • 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





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