Advanced Analytics and Data Science Engineer

Noida - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!

Key Responsibilities

Be a reliable partner to the ICX sales team providing key insights and advanced analytics on several 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 modelling 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 modelling data/ML pipelines quality evaluations productization and ML Ops.
Be a part of a team culture that focuses on sound scientific processes and encourages deep engagement with our internal customers.
Demonstrate findings and effectively influence technical and non-technical partners.
The team works from 2pm-11pm IST.

What you need to succeed:

Proven work experience and value addition in advanced analytics and data science use cases. Work experience in B2B SaaS (B2B Software as a Service) analytics and data science space is a huge plus.
Strong proficiency in Python SQL Spark.
General understanding of data structures algorithms and distributed computing concepts
Ability to be a self-starter and work closely with other analytics & data science and software engineers to design build and test production-ready ML and optimization models and distributed algorithms running on large-scale data sets
Excellent communication (oral & written) and collaboration skills. The candidate should be able to communicate very effectively to partners at VP Senior Director levels.
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 caseswill be very valuable.

Ideal Candidate Profile:

A total of 7 to 10 years of hands-on experience in advanced analytics and data science machine learning/statistics.
Masters/Bachelors degree in Computer Science & Engineering/Statistics
Comfort with ambiguity adaptability to evolving priorities and the ability to work autonomously.
Experience in effectively working with highly diverse and global teams.
Proven ability to effectively manage in a high-growth matrixed organization.
Track record of delivering cloud-scale data-driven products and services that are widely adopted with large customer bases.
Ability to think and contribute strategically in creating vision for a financial quarter/year.
A relentless pursuit of great customer experiences and continuous improvements to the product.

Adobe is proud to be anEqual Employment Opportunityemployer. 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 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 emailor call .

Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos...

Key Responsibilities

Be a reliable partner to the ICX sales team providing key insights and advanced analytics on several 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 modelling 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 modelling data/ML pipelines quality evaluations productization and ML Ops.
Be a part of a team culture that focuses on sound scientific processes and encourages deep engagement with our internal customers.
Demonstrate findings and effectively influence technical and non-technical partners.
The team works from 2pm-11pm IST.

What you need to succeed:

Proven work experience and value addition in advanced analytics and data science use cases. Work experience in B2B SaaS (B2B Software as a Service) analytics and data science space is a huge plus.
Strong proficiency in Python SQL Spark.
General understanding of data structures algorithms and distributed computing concepts
Ability to be a self-starter and work closely with other analytics & data science and software engineers to design build and test production-ready ML and optimization models and distributed algorithms running on large-scale data sets
Excellent communication (oral & written) and collaboration skills. The candidate should be able to communicate very effectively to partners at VP Senior Director levels.
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 caseswill be very valuable.

Ideal Candidate Profile:

A total of 7 to 10 years of hands-on experience in advanced analytics and data science machine learning/statistics.
Masters/Bachelors degree in Computer Science & Engineering/Statistics
Comfort with ambiguity adaptability to evolving priorities and the ability to work autonomously.
Experience in effectively working with highly diverse and global teams.
Proven ability to effectively manage in a high-growth matrixed organization.
Track record of delivering cloud-scale data-driven products and services that are widely adopted with large customer bases.
Ability to think and contribute strategically in creating vision for a financial quarter/year.
A relentless pursuit of great customer experiences and continuous improvements to the product.

Adobe aims to make 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 emailor call .