Data Scientist - Mobile

About this role

The Opportunity

Digital 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

About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .

AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .   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 fo

Similar jobs

• Staff Data Scientist, Mobile Consumer Create — Suno · Los Angeles
• Senior Data Scientist, Marketing Analytics (Mobile) — Gametimeunited · Remote
• Data Scientist — Avav · Annapolis Junction, MD
• Data Scientist — Americanfidelity · Oklahoma City, Oklahoma
• Data Scientist — The Aerospace Corporation · El Segundo, CA | Chantilly, VA | Colorado Springs, CO
• Data Scientist — Hadrian Automation · Los Angeles, CA
• Data Scientist — FIS · US GA ATL 201 STE 900 | US WI MKE 4900 | US FL JAX 347
• Data Scientist — Nissan · Smyrna, Tennessee - United States of America