Senior Data Scientist
Adobe
San Jose
hace 21 horas

The Opportunity

Do you love to tackle complex business problems and use data to find the signal in the noise? Join the Product and Customer Analytics team at Adobe! We are a high-impact, high-visibility team well suited to individuals with a highly quantitative, inquisitive bent of mind.

We use data science to quantify and optimize the product experience for our customers. The ideal candidate will be able to work autonomously and will have a technical background with strong communication and collaboration skills.

As a Sr. Data Scientist you will be responsible for mining data and generating insights to enable our enterprise business to improve product adoption, find opportunities for product improvement, and facilitate growth opportunities.

Your leadership and interpersonal skills will allow you to engage with product management, customer success, and marketing teams to identify problems which can be addressed with data science.

You will partner with data engineers to help our team build data pipelines from a variety of sources and use your understanding of statistics to mine data for impactful insights for the various teams.

You will own the end-to-end insight generation from defining the business problem, building models / analytical framework, designing the data pipelines, validating results, and present your findings to internal stakeholders to assist decision making.

What you’ll do

  • Own the data collection, analysis, and delivery of critical metrics for an enterprise SaaS product team.
  • Collaborate with a digital marketing business’ technical teams to understand where data is stored and how it can be extracted.
  • Work with data engineers to design and establish data pipelines
  • Analyze customer usage data and derive insights for product, customer success, and marketing teams.
  • Standardize insight generation and help build automated self-service tools for the same.
  • Own and lead relationships with partners across digital marketing businesses.
  • What you need to succeed

  • 2- 3 years proven experience working in data science, product analytics, or other related field.
  • Degree in engineering, statistics, mathematics or related fields are strongly preferred. MS / PhDs are preferred.
  • SQL and R, Python or similar language are required.
  • Ability and preference to work in a constantly evolving and less defined business environment.
  • The ability to work with disparate teams, often in different geos, prioritize tasks and following up on them is crucial for success in this role.
  • Experience with machine learning, statistics, and / or econometrics is strongly preferred.
  • Knowledge of the digital marketing industry preferred but not required.
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