Data Scientist

About SmartNews

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 to discover and deliver quality stories to the world. To accomplish this:

We are a machine learning company. News should be impartial, trending and trustworthy. Our algorithms evaluate millions of articles, social signals and human interactions to deliver the top 0.01% of stories that matter most, right now.

We love content. News should be sustainable. We support quality journalism and respect publishers by sharing article traffic and revenue.

Please note that we will only consider you for one application at a time.

Position

At SmartNews, growing with fast speed, 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 publishers, advertisers, agencies, etc., data science plays an important role.

We are seeking data scientists who have a proactive mind in an ambiguous environment and decent skills to deliver impactful actionable insight to the product and business.

Responsibilities

• Analyze data for one or more of the following areas:
  • ad product development
  • ad sales
  • marketing
  • mobile app UI/UX
  • news/video content
  • other product analyses
• Proactively ideate analysis projects and prioritize them
• Report data insights and predictions via visualizations and dashboards as well as written and verbal communication
• Work closely with product managers, engineers, etc. to ensure that data insights are actually translated into concrete product improvements or actions
• Help determine the overall data strategy (potentially with help from data engineers and product managers

Your qualification

• Technical university degree or equivalent knowledge
• 3 years of analytical work experience
• Experience with SQL and either R or Python
• Medium knowledge of applied statistics (hypothesis testing, building predictive models, causal inference, etc.)
• Analytical work experience related to apps, web service, or digital ads
• Strong communication, logical thinking, and enthusiasm for new challenges
• Business-level English

Will be a plus

• Advanced level knowledge of applied statistics (causal inference, bayesian modeling etc.)
• Business-level Japanese
• Experience managing/mentoring other data scientists
• Understanding of machine learning 
• Basic understanding of data engineering tasks (e.g. data warehousing, model deployment, using data workflow tools like Azkaban or Airflow)
• Experience with big data (Hive, Spark, Presto, etc.) and SQL performance tuning
• Experience with Linux command line

What we offer

• SmartKitchen - Healthy lunch on a daily basis for free
• ChikyuCoffee - Delicious coffee provided by our Barista every day
• Various social insurance benefits included