Introduction
Adobe, a global leader in digital media and marketing solutions, is actively seeking Data Science Engineers to join its innovative teams in India, particularly in locations like Bengaluru and Noida. This role offers a unique opportunity to work on cutting-edge technologies, leveraging data to drive product innovation and enhance user experiences.
Roles and Responsibilities
As a Data Science Engineer at Adobe, your responsibilities will include:
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Analyzing large datasets to extract actionable insights and inform business decisions.
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Developing and deploying machine learning models to enhance product features and user engagement.
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Collaborating with cross-functional teams, including product managers and software engineers, to integrate data-driven solutions.
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Building and maintaining data pipelines to ensure efficient data processing and accessibility.
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Conducting experiments and A/B testing to evaluate the impact of new features and improvements.
Salary and Benefits
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Salary Range: ₹27.5 Lakhs to ₹30.0 Lakhs per annum for professionals with 6 to 10 years of experience. AmbitionBox
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Benefits:
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Comprehensive health insurance coverage.
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Opportunities for professional development and continuous learning.
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Flexible work arrangements to support work-life balance.
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Access to cutting-edge technologies and tools.AmbitionBox+6AmbitionBox+6Glassdoor+6
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Application Process
To apply for the Data Science Engineer position at Adobe:
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Visit the Official Careers Page: Access the Adobe Careers Portal and search for “Data Science Engineer” roles in your preferred location.
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Review Job Descriptions: Ensure your qualifications align with the job requirements.
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Prepare Your Application: Update your resume to highlight relevant experience and skills.
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Submit Your Application: Follow the application instructions provided on the job listing page.
Interview Process
The selection process at Adobe typically involves:Weekday+2Levels.fyi+2Exponent+2
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Technical Screening: An initial assessment focusing on your core data science knowledge, including statistics, machine learning, and programming skills.
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Take-Home Assignment: A practical task requiring you to analyze a dataset and present your findings, demonstrating your problem-solving abilities.
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On-site Interviews: A series of interviews, both technical and behavioral, to assess your fit for the role and the company culture.
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Panel Interview: A final discussion with multiple stakeholders to evaluate your overall suitability for the position. Preplaced
Conclusion
Joining Adobe as a Data Science Engineer offers a unique opportunity to work on innovative projects that shape the future of digital experiences. With a commitment to excellence and a culture that fosters growth, Adobe provides an ideal environment for professionals looking to make a significant impact in the tech industry.
