Lead/Senior Data Scientist (Ads)

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Job description

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, San Francisco, Palo Alto, New York, and Singapore.

The Team & Role

Our team plays a critical role in driving the company's growth by providing actionable data insights that inform key decisions across Engineering, Product, Sales, and other departments. We focus on a wide range of projects, including ad algorithm analysis, business performance evaluation, user behavior analysis, business dashboard development, A/B testing, etc. Our ultimate goal is to leverage data to optimize strategies and maximize revenue.

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 supporting the expansion of our advertising business in the US, working closely with local & global team members to analyze data, refine strategies, and drive success in this exciting new venture.

Responsibilities

Lead and deliver actionable analytics insights to grow Ad business

Partner with cross-functional teams across the organization such as Product Managers, Engineering, and business teams

Work closely with product managers, business partners, and engineers to prioritize data projects that will maximize business impact and inform product strategy and planning.

Develop metrics, analytics frameworks, develop dashboards, and data science roadmaps to drive the decision-making process at all levels of the company.

Be hands-on in conducting analysis and providing actionable insights regarding UI updates, ranking updates, marketing updates, and so on

Be responsible for managing revenue metrics, conducting deep dive analysis to better understand customer trends, and proposing actions

Requirements

Required Experience:

Advanced degrees are in Mathematics, Statistics, Computer Science or analytical field

5 or more years of analytical work experience related to online advertising

3 or more years' experience in one or more programming languages used for data analysis (Python, R, etc.)

Prior experience working as a DS lead with cross-functional partners

Advanced SQL

Experience with data visualization with BI tools (Tableau or Redash are preferred)

Expert knowledge of A/B testing, applied statistics, and predictive modeling (fit regression curves, build predictive models, choose sample sizes, etc.)

Business-level English

Nice to have experiences/skills

Experience of working collaboratively with global teams

Understanding of data engineering tasks (e.g. data warehousing, model deployment, using data workflow tools like dbt or Airflow)

Experience related to Ad business growth, product features development, B2B sales and marketing

Benefits

Compensation and Benefits

Compensation range: $175,000 to $270,000 base salary, plus bonus and equity

401(k) with employer matching

Up to 100% medical, dental, and vision insurance for you and your family

A benefits plan with monthly allowances

Complimentary lunch, snacks, and beverages in the office

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