The OpportunityDigital Media Data Science and Analytics team is looking for a seasoned Data Scientist to drive the rapid growing mobile business.
This is a hybrid role of data science and strategy. In this role, you will demonstrate your data science skill and machine learning techniques to generate actionable data-driven recommendations to empower mobile business across full funnel of customer journey (acquisition, monetization, engagement and retention)
The ideal candidate will be a 'self-starter' with outstanding quantitative analytical skill, superb business intuition, fantastic communication skill, and most importantly, the ability to use analytics to drive/influence business decision making.
What you will do- Apply expertise in quantitative analysis and data modeling to gain deep insights into customers behaviors/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business
- Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results
- Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap
- Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks
- Recommend testing ideas based on the analysis
What you need to succeed- Bachelor's degree or equivalent experience in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics. MBA or a master's degree or equivalent experience is preferred
- 3-5 years hands-on experience doing quantitative analysis in tech or management consulting
- Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages
- Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems
- Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making
- Experience building and training statistical/data science models
- Experience with statistics in SaaS or Subscription Business model environment, mobile analytics related experience preferred.
- Experience in using AI tool is highly preferred
- Experience in Data Visualization tools, preferably, Tableau and Power BI
- A fast learner with desire to learn new things
Expected Pay Range:Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $109,000 -- $200,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $138,600 - $200,700
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
