Data Scientist - Product Analytics

Shibuya , Japan
Full-Time

About SmartNews

SmartNews is a global leader in redefining information and news discovery, committed to providing users with accurate, timely information and supporting quality journalism. We combine the power of our unique machine-learning technology with the expertise of our first-rate editorial team to bring news that matters to millions of users from our over 3,000 global publishing partners.

Founded in 2012 in Tokyo, Japan, SmartNews has offices in Tokyo, Palo Alto, New York, and Singapore.

Team and Role:

In SmartNews, various opportunities of data science exist. Decision making based on scientific analysis accelerates product and business growth with learning and improvement in try and error cycle processes. In improving user satisfaction and giving value to business stakeholders like publisher, advertiser, and agency etc., data science plays an important role.

We are seeking data scientists who have a proactive mind in an ambiguous environment. As a Data Scientist, your mission is to deliver high-impact data insights that empower our teams to make the best possible decisions in a fast-paced environment. You will be instrumental in leading the improvement of our JP product, working closely with local & global team members to analyze customers, refine strategies, and drive success in this exciting venture.

Responsibilities

  • Deliver actionable insight to impact product and business enhancement. Inspire teams for product strategy and roadmap. 
  • Identify essential problems to solve or hypotheses to verify, collaborating with cross-functional teams including Product Managers, Engineers, Designers, and business sides. 
  • Identify opportunities by exploratory analysis, impact size estimation, prioritization. 
  • Measure product/business progress, by defining/designing metrics , developing dashboard, and reporting to leaderships. 
  • Apply technical expertise with experiment design/analysis, effect evaluation for non-testable initiative, data wrangling and data visualization
  • Organize learnings, knowledge, investigated data result to be efficient for future teams

Requirements

Required Experience

  • 5 or more years of analytical work experience related to online service
  • Advanced level SQL
  • Programming languages used for data analysis (Python, R, etc.)
  • Prior experience working as an analytics lead with cross functional partners
  • Expert knowledge of online experiment and statistics
  • Advanced degrees in Mathematics, Statistics, Computer Science or analytical field
  • Conversational or higher Japanese 
  • Business or higher English

Nice to Have Experience

  • Experience with analysis of online media and contents
  • Understanding of data engineering system (e.g. data warehousing, using data workflow tools like Azkaban or Airflow)
  • Advanced knowledge on causal inference and mathematical modeling

Working Condition

  • Office Location: Tokyo

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Benefits

  • All healthcare and social insurance required by the Japanese labor law, plus annual health check 
  • Visa sponsorship and overseas relocation support available for eligible candidates

Our mission News should be for everyone. But not when it’s buried under cat videos—or when your internet is spotty—or when it’s in a filter bubble. That’s why we created SmartNews. Our mission is "delivering the world's quality information to the people who need it".ニュースはすべての人たちのもの。インターネット上の大量な動画やフィルターバブルによって、その人にとって本当に大切な情報が埋もれてしまわぬよう、我々はSmartNewsを創り、"世界中の良質な情報を必要な人に送り届ける"べく 一丸となってこの大きな課題に取り組んでいます。Our ValuesThree keywords below are SmartNews Core Values. All of our employees always believe in them.私たちは、以下の3つのスマートニュースコアバリューを胸に行動しています。1. For the Common Good2. Be the Owner3. Have Appreciation We believe in technologyHow do you deliver the world’s most important information to the people who need it automatically, in real-time? How do you determine what makes a quality story or what people want to read? This is a problem both on a planetary and individual scale, and requires many different disciplines to solve.世界中の良質な情報をいかに届けるか。膨大な情報の中から良質なものを選定し、カテゴライズし、それをリアルタイムで実現する。我々はテクノロジーを信じ、スケーラブルな問題解決に魂を注いでいます。SmartNews Engineering Blog (in Japanese): https://developer.smartnews.com/blog/

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