Advanced Analytics and Data Science Engineer

Adobe

7 - 10 years

30 - 35 Lacs

noida bengaluru

Posted:-1 days ago| Platform:

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Skills Required

advanced analytics algorithms python natural language processing neural networks machine learning sql b2b software text analytics deep learning tensorflow b2b data science spark writing data structures communication skills statistics ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 cases will 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.

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