Über
Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact millions of users worldwide. At Adobe, you will collaborate with exceptionally dedicated colleagues, drive ambitious projects, and contribute to crafting flawless solutions. If you are passionate about data science and eager to make a significant impact, this is the role for you! What You'll Do
Develop and implement models to solve complex problems Collaborate with cross-functional teams to determine project requirements and deliverables Use proven methodologies to ensure data accuracy and model reliability Compete in a dynamic environment to successfully implement innovative solutions Analyze and interpret large datasets to provide actionable insights Lead initiatives to improve the performance and scalability of our data platforms What You Need To Succeed
Degree or equivalent experience with 5+ years of practical experience Strong expertise in statistical analysis, machine learning, and data mining Proficiency in programming languages such as Python, R, or Scala Experience with big data technologies like Hadoop, Spark, or Kafka Ability to strictly adhere to deadlines while maintaining high-quality standards Excellent communication skills and a collaborative approach 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 $128,600 -- $234,200 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. 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. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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 applicable characteristics protected by law. Adobe aims to make Adobe.com 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 or call (408) 536-3015.
Wünschenswerte Fähigkeiten
- Data Mining
- Hadoop
- Kafka
- Machine Learning
- Python
- R
- Scala
- Spark
Berufserfahrung
- Data Engineer
- Machine Learning
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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