Advanced Analytics and Data Science Engineer at Adobe

Noida, Uttar Pradesh, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, SaaSIndustries

Requirements

Proven work experience and value addition in advanced analytics and data science use cases (7-10 years of hands-on experience in advanced analytics, data science, machine learning/statistics preferred)
Work experience in B2B SaaS analytics and data science (huge plus)
Strong proficiency in Python, SQL, Spark
General understanding of data structures, algorithms, and distributed computing concepts
Masters/Bachelors degree in Computer Science & Engineering/Statistics
Ability to be a self-starter and work closely with analytics, data science, and software engineers to design, build, and test production-ready ML and optimization models and distributed algorithms on large-scale datasets
Excellent communication (oral & written) and collaboration skills, including communicating effectively to partners at VP/Senior Director levels
Ability to think creatively about fixing, debugging, and solving complex, hard-to-reproduce problems
Ability to adapt quickly to changing business dynamics and prioritize insights/analytics or data science use cases
Comfort with ambiguity, adaptability to evolving priorities, and ability to work autonomously
Experience working with highly diverse and global teams
Proven ability to manage in a high-growth, matrixed organization
Track record of delivering cloud-scale, data-driven products and services widely adopted with large customer bases
Ability to think and contribute strategically in creating vision for a financial quarter/year
Relentless pursuit of great customer experiences and continuous improvements to the product

Responsibilities

Be a reliable partner to the ICX sales team, providing key insights and advanced analytics on business-critical asks from Integrated Customer Experience – sales & support business teams
Work on use cases such as product recommendations (calls to action, CTAs), causal analysis, forecasting, and predicting customer churn
Develop classifiers, predictive, prescriptive models on large-scale datasets using advanced statistical modeling, machine learning, deep learning
Collaborate with several partners to bring AI-based assisted use cases to life
Drive all aspects of data science/ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops
Be part of a team culture that focuses on sound scientific processes and encourages deep engagement with internal customers
Demonstrate findings and effectively influence technical and non-technical partners
Work from 2pm-11pm IST

Skills

Python

SQL

Spark

Machine Learning

Deep Learning

Statistical Modelling

Forecasting

Causal Analysis

Data Structures

Algorithms

ML Pipelines

MLOps

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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