Advanced Analytics and Data Science Engineer
- Adobe
- 7 - 10 years
- Noida, Gurugram
- 2 months ago
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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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: AdobeLocation(s): Noida, Gurugram+ View Contact
Keyskills: 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
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