As a Senior Data Scientist, you will own data, collaborate with engineers and stakeholders, and build tools for analytics and dashboards to inform business decisions.
Senior Data Scientist
Location: Tokyo or Remote U.S.
About us:
Deep expertise. Personal and Industry evolution. Impeccable craft. These are Limit Break’s founding principles.
Limit Break is founded by global industry leaders in mobile gaming. We are unlocking its potential beyond games to transform digital markets into real-world economies and digital worlds into vibrant communities who will take gaming economies for both players and traders to new limits. We combine the power of technology, and creative vision to create experiences that connect people from all corners of the globe.
Limit Break is backed by leading investors that include Buckley Ventures & Paradigm Ventures. The adoption rate and a number of public and private partnerships is proving it to be the next wave of technology of the future and Gaming is leading the way.
About the Role:
Limit Break is looking for a Senior Data Scientist -To join our team. The Data Engineering team builds core data infrastructure and applications in support of all areas of our business, including our studio teams, analytics, user acquisition, monetization, and finance. We are passionate about maximizing the value that data and analytics can provide to the business and are aggressively investing in new capabilities. Our team covers a lot of ground from real-time data ingestion through to scalable data pipelines.
Responsibilities:
As a key member of the Data Engineering team, you will take ownership of data and you will work closely with Data Pipeline Engineers as well as stakeholders in Live Operations and Marketing to build tools, analytics and dashboards that are used to make critical business decisions. You will get the opportunity to work with rich data that is being ingested from multiple data sources in real-time. You will also work with a high scalable tech stack that includes Kafka, Imply Druid, EMR, Trino and Airflow.
Requirements: Who you are and what you’ve done
- 5+ years software engineering experience, especially working on data science and engineering projects.
- 3+ years of data engineering experience, especially working on data analytics, creating dashboards.
- Experience with Druid, Trino / Presto, Hive, Kafka and Superset.
- Experience with workflow orchestration tools such as Airflow.
- Experience with SQL and SQL-like languages.
- Proficiency with at least one of the following languages: Python, Scala, R.
- Proficiency in writing well-tested code, including unit-testing, integration testing and end-to-end testing
Nice to have: What an ideal candidate looks like
- Experience with high-scale machine learning, i.e. Spark M/L, SageMaker, etc
- Experience with CI/CD process, testing framework, and containerization technology.
シニア・データサイエンティスト
私たちについて
Limit Breakは、深い専門知識、個人と業界の成長、そして卓越した技術を基本理念としています。モバイルゲーム業界の世界的リーダーとして、ゲームの枠を超えたデジタル市場の変革と活気あるコミュニティの構築に取り組んでいます。最新技術や暗号通貨を活用し、創造力豊かなビジョンで世界中の人々を繋げる体験を提供しています。
Limit Breakは、Buckley VenturesやParadigm Venturesなどの著名な投資家からの支援を受けています。共にゲーム業界の未来を形作る才能溢れる人材を探しております。
Limit Breakの一員として、あなたの創造性と情熱、私たちと共に限界を超える挑戦に参加しませんか。
役割について
Limit Breakでは、シニア・データサイエンティストを募集しています。データエンジニアリングチームは、スタジオチーム、アナリティクス、ユーザー獲得、マネタイズ、ファイナンスなど、ビジネスのあらゆる領域を支える中核的なデータ基盤およびアプリケーションを構築しています。
私たちは、データおよびアナリティクスがビジネスにもたらす価値を最大化することに強い情熱を持っており、新しい技術や機能への積極的な投資を行っています。本チームでは、リアルタイムデータの取り込みからスケーラブルなデータパイプラインの構築まで、幅広い領域をカバーしています。
業務内容
データエンジニアリングチームの中核メンバーとして、データのオーナーシップを担い、データパイプラインエンジニアや、ライブオペレーションおよびマーケティング部門のステークホルダーと密に連携しながら、重要なビジネス意思決定に活用されるツール、分析、ダッシュボードの構築を行っていただきます。
複数のデータソースからリアルタイムで取り込まれる豊富なデータを扱う機会があり、Kafka、Imply Druid、EMR、Trino、Airflowなどを含む、高いスケーラビリティを備えた技術スタックを用いた開発に携わっていただきます。
応募資格
- データサイエンスおよびデータエンジニアリング関連プロジェクトを中心とした、5年以上のソフトウェアエンジニアリング経験
- データ分析やダッシュボード作成を含む、3年以上のデータエンジニアリング経験
- Druid、Trino／Presto、Hive、Kafka、Superset の利用経験
- Airflow などのワークフローオーケストレーションツールの利用経験
- SQLおよびSQL系言語の利用経験
- Python、Scala、R のいずれか1つ以上のプログラミング言語に精通していること
- ユニットテスト、結合テスト、エンドツーエンドテストを含む、十分にテストされたコードを書いた経験
歓迎要件
- 大規模機械学習基盤の利用経験（例：Spark ML、SageMaker など）
- CI/CDプロセス、テストフレームワーク、および コンテナ技術（Docker など）の利用経験
Apply now:
If you are confident, driven and are looking for an exciting role, this job could be a great opportunity for you.
Apply to [email protected] to explore this new opportunity.
This is an international blockchain gaming company that operates regionally, and is opening offices in multiple locations around the globe.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
The Staff Escalation DevOps Engineer will resolve cloud incidents, enhance system monitoring, collaborate on fixes, and lead service support. They will utilize strong troubleshooting skills and various cloud technologies to improve service reliability.
Top Skills:
AnsibleAWSAzureBashGCPGrafanaIcmpJavaKlodfuseMySQLOauthPythonSAMLTcp/IpTerraformUdp
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Staff Engineer for SSD Validation leads system-level testing, oversees validation strategies, and collaborates with various teams to ensure SSD products are prepared for production and meet customer qualifications.
Top Skills:
LinuxNvmePciePython
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
This role involves designing and deploying AI-powered marketing solutions, integrating systems, writing code, and collaborating cross-functionally to enhance workflows.
Top Skills:
APIsClaudeCodexHubspotJavaScriptOpenaiPythonSalesforce
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
