Senior Consultant - AI/ML Data Scientists

Infosys

2.7

(23)

Japan

Why you should apply for a job to Infosys:

  • 4.2/5 in supportive management
  • 57% say women are treated fairly and equally to men
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our STEM education and maker movement programs enable you to support a more equitable digital society
  • At Infosys, our D&I charter draws inspiration from our values and is contained in the first tenet of our Code of Conduct and Ethics.
  • At Infosys, we nurture that spirit with technology that can inspire you to not just ask ‘what next’, but actually help you to build it.
  • #135709BR

    Position summary

    w. These diverse and brightest minds come together to build new, disruptive, and game-changing technology. They have a clear and defined aim to bring a change not only in the industry but also in society.
    Your Role
    This special squad comprises of creative, curious, and passionate individuals who are given a plethora of opportunities to learn and grow. These diverse and brightest minds come together to build new, disruptive, and game-changing technology. They have a clear and defined aim to bring a change not only in the industry but also in society.

    Your Key Responsibilities

    • Understand the requirements both functional and non-functional by going through the specifications and with inputs from business analysts and participate in creating high level estimate as well as translating the same to data requirements in order to create a data requirements document and participate effectively in the design, development and testing phases of the project
    • Utilize analytical, statistical, and programming skills to collect, analyze and interpret data sets
    • Create hypothesis scenarios based on the business requirements
    • Create model design artifacts to provide deliverables in line with requirements
    • Develop models and algorithms
    • Review all artifacts (Design, Code, Documentation, Unit test scripts)
    • Develop A/B testing and test model quality
    • Define process and tools to monitor and analyze model performance

    Required Qualifications
    Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
    At least 8 of experience in Information Technology.
    Japan citizens and those authorized to work in Japan are encouraged to apply. We are unable to sponsor at this time.
    At least 4 years of experience in Data Science/AI/ML projects
    Preferred Qualifications
    At least 4 years of experience in AI/ML/DL algorithms, Python, R, Data pipeline, Data cleansing, Visualization
    Excellent verbal and written communication skills
    Experience in software development life cycle
    Ability to work in team in diverse/ multiple stakeholder environment
    Experience and desire to work in a Global delivery environment.

    所属先チームについて
    所属されるチームのメンバーは、クリエイティブで好奇心が旺盛、情熱に溢れており、学習と成長の機会が豊富に得られます。多様で明るいメンバーと新しく破滅的でゲームチェンジャーとなるテクノロジーを一緒に構築していきます。業界だけでなく社会を変えよう、というはっきりした目標を持っているチームに所属していただきます。

    担当する職務
    顧客企業と社内関係者の仲介役が主な役割になります。要件の聞き取り、仮説の特定、モデル設計、開発とテストといったデータサイエンスプロジェクトの様々な段階で技術的な知見を活かしていただけます。仮説シナリオを策定する、モデルアーチファクトを設計する、高品質なコードを届ける、あらゆるタイプのテストの評価や実装、移行、保障に関連するサポート活動をリードするという重要な役割を担い、チームワークやコラボレーションを推進するという学習文化の一端を担っていただきます。優秀な人が報われ、多様性が尊重され大切にされます。
    主な責務

    • 仕様を精査して機能要件と非機能要件の両方を理解し、ビジネス解析からの情報を得て上位レベルの見積を作成。データ要件文書を作成するためにデータ要件に落とし込み、プロジェクトの設計、開発およびテストの各段階に効果的に参画。
    • 解析、統計、プログラミングのスキルを活かしてデータセットを収集、解析、解釈する
    • ビジネス要件に従って仮説シナリオを作成
    • 要件に沿った成果物を提供するようモデル設計アーチファクトを作成
    • モデルとアルゴリズムを開発
    • すべてのアーチファクト(設計、コード、文書化、単体試験のスクリプト)をレビュー
    • A/B 試験を開発しテストモデル品質を確保

    モデルのパフォーマンスを監視解析するためのプロセスとツールを定義
    必要な資格

    • 学士、または認定機関で求められる学士相当の資格。大学での1年間の代替として専門分野での経験が連続して3年間も考慮いたします。
    • 情報技術分野 での経験が 8年以上。
    • 日本国籍保持者および日本での就労資格保持者のご応募をお待ちしています。今回は就労ビザのスポンサーは行いません。

    データサイエンス /AI/MLプロジェクトでの経験が4年以上
    好ましい 要件

    • AI/ML/DL アルゴリズム、 Python 、 R 、データパイプライン、データクレンジング、可視化の経験が 4 以上
    • 話す・書くのコミュニケーションスキルが高い
    • ソフトウェア開発ライフサイクルの経験
    • 多様な複数の関係者がいる環境でチームとして働くことができる能力
    • グローバルなデリバリー環境で働いた経験およびその環境で働きたいという意思があること

    長時間、コンピュータの前に向かい作業することが求められます。電話、メール、対面でコミュニケーションできること。ジョブ要件によっては出張が必要な場合があります。

    Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

    At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment only on [email protected] or include your preferred method of communication in email and someone will be in touch.

    Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

    "All aspects of employment at Infosys are based on merit, competence, and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."

    Why you should apply for a job to Infosys:

  • 4.2/5 in supportive management
  • 57% say women are treated fairly and equally to men
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our STEM education and maker movement programs enable you to support a more equitable digital society
  • At Infosys, our D&I charter draws inspiration from our values and is contained in the first tenet of our Code of Conduct and Ethics.
  • At Infosys, we nurture that spirit with technology that can inspire you to not just ask ‘what next’, but actually help you to build it.