Data Science Engineer at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Digital Media, TechnologyIndustries

Requirements

Self learner and quick starter
Expertise in performing data extraction, manipulation and visualization
Experience with distributed computing tools (Hadoop, Hive/Spark)
Expert in SQL and proficient in Data Visualization tools like Power BI/Tableau
Experience applying statistical and machine learning techniques like hypothesis testing, classification, regression, time series forecasting and clustering to real-world data sets
Hands-On coding experience with at least one programming language (Python/R)
Experience in solving analytical problems using quantitative and qualitative approaches
Experience in presenting qualitative and quantitative analysis/insights
Expertise in story telling with Data
Experience working in a dynamic and agile environment, management of multiple projects with excellent Verbal and written communication skills
Master’s in Data Science/Analytics/Statistics or related field
5+ years’ experience in Data Science/Product Analytics (Team lead experience preferred, however, not required)

Responsibilities

Perform large scale data analysis and develop effective Machine learning models for segmentation, classification, regression, time series, etc
Enhance/Improve the existing M/L models to ensure continuous alignment with business objectives
Design and implement reporting dashboards and track Key Performance Indicators and provide useful insights
Suggest recommendations based on practical insights
Unlock new opportunities for growth by discovering insights, automate processes and predictive modeling
Work closely with product and strategy teams to proactively define Call to Action programs for B2B Customers
Build and Analyze Digital Customers Journeys starting from different surfaces for B2B customers with an intent to suggest improvements in the journey stages and insights into optimization opportunities
Develop propensity models to prioritize actions/leads
Suggest improvements in technologies to help scale the team

Skills

Key technologies and capabilities for this role

Data AnalysisMachine LearningSegmentationClassificationRegressionTime SeriesReporting DashboardsKPI Tracking

Questions & Answers

Common questions about this position

What skills are required for the Data Science Engineer role?

Required skills include expertise in data extraction, manipulation, and visualization; experience with distributed computing tools like Hadoop, Hive/Spark; expert-level SQL; proficiency in data visualization tools like Power BI/Tableau; and experience with statistical and machine learning techniques such as hypothesis testing, classification, and regression.

What does the role involve on a day-to-day basis?

The role involves performing large-scale data analysis and developing machine learning models for segmentation, classification, regression, and time series; designing reporting dashboards; providing insights and recommendations; analyzing customer journeys; and building propensity models.

What is Adobe's company culture like?

Adobe is passionate about empowering people to create digital experiences, committed to exceptional employee experiences with equal opportunity, values new ideas from everywhere, and seeks leaders with vision, growth mindset, and good sense of humor.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters

1994Year Founded

$668.9MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise Software, DesignIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.

Open-source alternatives may attract users away from Adobe's subscription model.

Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.

Adobe's subscription model includes special pricing for students, teachers, and businesses.

Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.

Remote work boosts demand for Adobe's cloud-based document management solutions.

AR's popularity in marketing benefits Adobe's 3D and AR tools.

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