Senior Data Scientist at Adobe

Short Description:

The Senior Data Scientist role at Adobe, Noida, involves leveraging machine learning to drive impactful decision-making and optimize business strategies through data analysis, predictive modeling, and anomaly detection. Responsibilities include feature selection, conducting data mining, presenting insights to stakeholders, and building predictive models across customer lifecycle stages. Qualifications sought are 6+ years in quantitative analysis, proficiency in SQL-like languages, Python, R, expertise in predictive modeling, and familiarity with web analytics tools like Adobe Analytics. Adobe emphasizes equality, providing accommodation, and maintaining an open marketplace for all employees.

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Position: Senior Data Scientist

Location: Noida, Uttar Pradesh, India

Category: Engineering and Product

Job ID: R141834

Our Company

Adobe's core mission is to change the world through digital experiences. We provide the tools and resources for everyone, from emerging artists to global brands, to design and deliver exceptional digital experiences. Our passion lies in empowering individuals to create beautiful and powerful images, videos, apps, and transforming how businesses engage with customers across all digital platforms.

At Adobe, we are on a mission to hire the best talent and are dedicated to creating exceptional employee experiences. We foster a work environment where everyone is respected and has equal access to opportunities because we believe that groundbreaking ideas can emerge from any corner of the organization, and the next big idea might just be yours!

What You'll Do

As a Senior Data Scientist at Adobe, your role is integral to driving data-driven decision-making and making a significant impact on our business. You will be responsible for the following:

• Selecting features and developing optimized classifiers using machine learning techniques.
• Conducting data mining using cutting-edge methods.
• Performing ad-hoc analysis and effectively communicating results to stakeholders.
• Creating automated anomaly detection systems and continuously monitoring their performance.
• Offering valuable insights into business performance and user behavior on a regular basis.
• Building predictive models across various stages of the customer lifecycle, including LTV (Lifetime Value), Churn prediction, cross-selling, up-selling, personalization, and more.

What You Need to Succeed

To excel in this role, you should possess the following qualifications and skills:

• 6+ years of hands-on experience in quantitative analysis, preferably in the fields of e-commerce, strategy, or management consulting.
• An MS in Analytics or a related degree is preferred.
• Proficiency in defining complex business problems, collecting necessary data, analyzing results, and presenting compelling arguments.
• Strong analytical skills to articulate key business and financial implications and business impact.
• Proficiency in querying and manipulating extensive datasets using SQL-like languages (Hive/ADX preferred), Python, R, etc.
• Experience with Web Analytics Tools like Adobe Analytics.
• Proficiency in data visualization tools, such as Power BI.
• Expertise in building, productizing, and maintaining predictive models.
• Strong programming skills in Python, R, or any other scripting language.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

Please click here to apply.