ナナメウエは、「つながりを科学する」というミッションのもと、誰もが素を出せるweb3時代のバーチャルワールド「Yay!」を運営しています。 2020年1月のリリース以来、650万人以上が利用するYay!は「すべての人に居場所を」をコンセプトに、趣味趣向が合う人とつながり、様々なコミュニティ運営やグループ通話をしながらの雑談やゲームを楽しむことができます。 コンセプトムービー：https://youtu.be/HM9pDSsBPhs 最新プレスリリース：https://prtimes.jp/main/html/rd/p/000000043.000044875.html nanameue, Inc. is a global venture company involved in developing social media. Yay! was started in January 2020 as a virtual world, with the concept of “providing a place where everyone can belong. ▼Social Media Services: The Virtual World of Yay!: https://yay.space/en Recent Press Release: https://acrobat.adobe.com/id/urn:aaid:sc:AP:494b043f-be0b-456f-bcbe-7673b2457ac1?viewer%21megaVerb=group-discover

｜OUR MISSION｜ つながりを、科学する。 人と人との出会いのカタチは広がっている一方で、 心が通じ合う人とつながることは、まだまだ難しいものです。 私たちは、より良い人間関係をアルゴリズムによって科学し、 「出会うべき人に出会える機会」を届けていきます。 性別も、年齢も、住む場所も飛びこえた、 本当に気の合うつながりを。 ありのままの自分をさらけ出して、 尊重しあえるつながりを。 普通に生きていては出会うことのないような ナナメウエのつながりを、ひとつでも多く。 ナナメウエ採用動画＞＞https://youtu.be/eYSFymzr4bA Web site＞＞https://nanameue.jp ｜OUR MISSION｜ Building Community with Science. Despite the spread of countless social channels, discovering profound connections remains rare. With our technologically advanced algorithms, we create and maximize opportunities for people to meet, grow, and foster meaningful relationships transcending nationality, age, and gender. With these serendipitous encounters, you too can be blessed with a life beyond imagination. Takahiro Ishihama, CEO

今後は、コミュニティ上にトークンエコノミーを形成し、素が出せて心の拠り所になり、かつ、多様で寛容な自律したコミュニティで、ユーザーが毎日楽しく「好きなことで、生きていく」真のサステナブルなバーチャルワールドを実現します。 社内公用語は英語で、社員の平均年齢は31歳。 全世界から優秀なメンバーを集め、事業を行っています。 社員の半数が日本国籍以外のメンバーです。 様々な人種や思想を持った豊かな仲間と情熱的に仕事ができる環境です。 どれだけ困難でもしっかりとやるべきものを仲間と一つ一つ実行し、より良い世の中を作るための仕組みづくりを一緒に行ないませんか？ Now, moving forward Yay! is looking to take on the challenge of forming its own token economy, building up its incentives, and creating a new web3 environment where users can take part in everything directly. Our company language is English, and the average age of our employees is 31. We are currently made up of a team of members from around the world, all of whom possess the incredible talent and potential. About half of our employees are international. Together we make up an environment of rich ideas and backgrounds that make for strong friendship-building and passionate work. No matter how challenging the tasks we face, we work together to get through them one by one. Now we are waiting for you to join us on our mission of building a better world!

As a Data Scientist, you will work with highly complex structured and unstructured datasets. Yes, we are talking terabytes. You will build Statistical, Machine Learning, and/or Deep Learning models to create solutions, improve operation, understand & interpret the data and be a building member of our SNS platform Yay!. Responsibilities: - Collaborate with the product and engineering teams to define and design the recommendation engine's architecture and algorithms - Analyze user data to understand user behavior and preferences, enabling the development of personalized content recommendations - Utilize statistical and machine learning techniques to analyze large datasets and derive actionable insights - Conduct A/B testing to evaluate the effectiveness of recommendation algorithms and continuously refine the models - Develop and implement machine learning models for content recommendation, personalized user experiences, and targeted content delivery - Evaluate model performance and make data-driven adjustments to improve accuracy and relevance - Prepare and preprocess raw data to ensure its suitability for analysis and modeling purposes - Identify and address data quality issues to maintain the integrity of the recommendation engine - Take a proactive approach in working closely with cross-functional teams, including (but not limited to) product managers, engineers, and designers, to align on data requirements and deliverables - Communicate findings and insights effectively to technical and non-technical stakeholders - Stay abreast of industry trends and advancements to propose innovative approaches and solutions - Build state-of-the-art Deep Learning models to tackle Computer Vision and NLP problems Job requirements 3+ years experience in data science: data visualization, regression, clustering and classification w/Python