Adobe Hiring Data Science Engineer: Location Noida, Apply Now

Are you passionate about solving complex problems using data? Adobe, a global leader in digital experiences and creative software solutions, is hiring for the role of Data Science Engineer at its Noida office. This opportunity is ideal for professionals with 1 to 2 years of experience in data science, machine learning, and analytics.

With a reputation for innovation and a culture that fosters growth, this is your chance to join Adobe’s elite engineering team and work on high-impact data solutions.

Job Overview

Position: Data Science Engineer
Company: Adobe
Location: Noida, India
Experience: 1 – 2 years
Qualification: Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, or related field
Expected Salary: ₹12 – ₹25 LPA
Job Type: Full-Time, Permanent

About Adobe

Adobe is globally recognized for products like Photoshop, Illustrator, Premiere Pro, and Adobe Experience Cloud. The company is a pioneer in digital media and marketing solutions, empowering millions of users and enterprises to create, deliver, and optimize content and experiences.

Adobe is also known for its innovation-driven environment, employee-friendly policies, and one of the best engineering cultures in the industry.

Who Can Apply?

This role is suitable for:

Data professionals with 1–2 years of experience in analytics, ML, or engineering roles
Engineers or analysts with a strong foundation in mathematics, statistics, or computer science
Candidates with strong problem-solving abilities and a passion for data-driven decision-making

Key Responsibilities

Build scalable and efficient data pipelines and machine learning models
Analyze large datasets to identify actionable insights for product or customer experience
Work closely with data engineers, product managers, and designers to shape Adobe’s next-gen features
Participate in the end-to-end lifecycle of model development—from problem formulation to deployment
Communicate results and insights to stakeholders through dashboards, visualizations, and presentations

Required Skills

Proficiency in Python, SQL, and experience with libraries like pandas, NumPy, scikit-learn
Experience in data preprocessing, feature engineering, and ML model development
Familiarity with cloud platforms like AWS, Azure, or GCP
Understanding of data structures, algorithms, and performance optimization
Excellent communication and teamwork skills
Experience with big data tools like Spark or Hadoop is a plus