Lead/Senior Data Scientist (Ads)

$175,000 - $270,000/Yr

Smartnews - Palo Alto, CA

Full-time - Senior

Palo Alto, CA

1,001-5,000 employees

Publishing Industries

About the position

The Lead/Senior Data Scientist at SmartNews plays a pivotal role in driving the company's growth by providing actionable data insights that inform key decisions across various departments, particularly focusing on the advertising business. This position involves leveraging machine-learning technology and data analysis to optimize strategies and maximize revenue, while collaborating with cross-functional teams to deliver high-impact insights in a fast-paced environment.

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

• Advanced degrees 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-haves

• 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 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