Adobe

Senior Data Science Engineer

Adobe

Lehi, UT, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to the world of Adobe, where we empower individuals and organizations to create and deliver amazing digital experiences. As a Senior Data Science Engineer, you will play a crucial role in driving innovation and impact through data-driven solutions. We are looking for a highly skilled and motivated individual with a passion for data science and engineering. If you have a strong background in statistics, machine learning, and programming, along with excellent communication and problem-solving skills, we want you to join our team and help shape the future of Adobe's data strategy.

  1. Develop and implement data-driven solutions to drive innovation and impact within Adobe's products and services.
  2. Utilize statistical techniques and machine learning algorithms to analyze and interpret complex data sets.
  3. Collaborate with cross-functional teams to identify business problems and opportunities for data-driven solutions.
  4. Design and implement data pipelines to collect, clean, and transform large data sets from various sources.
  5. Build and maintain predictive models to support decision-making processes and improve business outcomes.
  6. Conduct thorough testing and validation of models and algorithms to ensure accuracy and reliability.
  7. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
  8. Stay current with industry trends and advancements in data science and engineering, and proactively apply them to improve processes and methodologies.
  9. Mentor and provide guidance to junior data science engineers, promoting a culture of continuous learning and growth.
  10. Collaborate with other data teams to ensure data integrity, consistency, and accuracy across all data sources.
  11. Identify and troubleshoot data issues, and implement solutions to improve data quality and efficiency.
  12. Continuously monitor and evaluate the performance of data models and algorithms, and make necessary improvements.
  13. Drive the development and implementation of best practices and standards for data science and engineering within the organization.
  14. Contribute to the overall data strategy of Adobe by providing insights and recommendations based on data analysis and modeling.
  15. Serve as a subject matter expert in data science and engineering, representing Adobe at conferences and events.
Where is this job?
This job is located at Lehi, UT, USA
Job Qualifications
  • Extensive Experience In Data Analytics And Machine Learning: As A Senior Data Science Engineer At Adobe, A Strong Background In Data Analytics And Machine Learning Is Essential. This Includes Proficiency In Programming Languages Such As Python, R, And Sql, As Well As Experience With Data Mining And Statistical Modeling Techniques.

  • Knowledge Of Data Engineering And Infrastructure: The Ideal Candidate For This Role Should Have A Deep Understanding Of Data Engineering Principles, Including Data Pipelines, Data Warehousing, And Cloud Computing. Familiarity With Big Data Technologies Such As Hadoop, Spark, And Kafka Is Also Desirable.

  • Strong Communication And Collaboration Skills: As A Senior Member Of The Team, The Data Science Engineer Will Be Expected To Communicate Complex Technical Concepts To Both Technical And Non-Technical Stakeholders. They Should Also Have Experience Working In Cross-Functional Teams And Be Able To Collaborate Effectively With Other Data Scientists, Engineers, And Business Teams.

  • Experience With Adobe Products And Services: Adobe Is A Leading Provider Of Digital Marketing And Creative Software, And Experience With Their Products And Services Is Highly Valued For This Role. This Includes Familiarity With Adobe Analytics, Adobe Experience Cloud, And Other Adobe Marketing Solutions.

  • Advanced Degree In A Related Field: A Master's Or Ph.d. In A Relevant Field, Such As Data Science, Computer Science, Statistics, Or Mathematics, Is Typically Required For A Senior Data Science Engineer At Adobe. This Demonstrates A Strong Academic Foundation And A Commitment To Ongoing Learning And Development In The Field.

Required Skills
  • Data Analysis

  • statistical analysis

  • Big Data

  • Machine Learning

  • Deep Learning

  • Data Visualization

  • Natural language processing

  • Data Mining

  • Predictive modeling

  • Programming Languages (Python, R, Sql)

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Data Science Engineer in Lehi, UT, USA is between $130,000 and $160,000 per year. However, this can vary depending on the specific company, industry, and individual qualifications and experience. Some companies may offer salaries above or below this range. It is best to research specific job listings and company information for more accurate salary information.

Additional Information
Adobe is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedSeptember 20th, 2024
Apply BeforeJune 9th, 2026
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About Adobe

Adobe Systems, Inc. engages in the provision of digital marketing and digital media solutions. It operates through the following segments: Digital Media, Digital Marketing, and Print and Publishing. The Digital Media segment offers creative cloud services, which allow members to download and install the latest versions of products, such as Adobe Photoshop, Adobe Illustrator, Adobe Premiere Pro, Adobe Photoshop Lightroom and Adobe InDesign, as well as utilize other tools, such as Adobe Acrobat. The Digital Marketing segment offers solutions, including analytics, social marketing, targeting, media optimization, digital experience management, and cross-channel campaign management, as well as premium video delivery and monetization. The Print and Publishing segment offers legacy products and services for eLearning solutions, technical document publishing, web application development, and high-end printing.

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