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Description:
Aryng is seeking a seasoned data scientist analyst to directly impact clients through a combination of analytics, data science, and client account management.
The role involves working with clients to solve high-value problems in product, marketing, and operations.
Responsibilities include identifying opportunities to leverage client data for business solutions, assessing new data sources, and developing advanced machine learning and deep learning models for predictive analysis.
The position also entails using predictive modeling to optimize customer experiences, revenue generation, growth, and profit.
Additional tasks include contributing to Aryng's growth through activities like blogging, promoting data science, mentoring trainees, and participating in hiring processes.
The role requires mandatory overlap hours with US clients from 8 am to 12 pm PST.
Requirements:
Must have 3+ years of experience as an Analyst or Data Scientist, willing to work as an analyst when necessary.
Proficiency in Python and/or R is essential.
Experience with machine learning models like gradient boosting, SVM, random forest, clustering, and KNN is required.
Strong skills in statistical and mathematical modeling, as well as SQL.
Knowledge of deep learning models, deep learning frameworks, and cloud computing infrastructures is a plus.
Benefits:
Flexible work hours.
Opportunity to work in a rapidly growing company with an excellent work culture.
Learn from industry experts and maintain a work-life balance.
Competitive salary with no hierarchy and a highly collaborative work environment.
Develop executive presence and engage in end-to-end problem-solving.
Enjoy 50%+ tax benefits, work for a 100% remote company, and have the opportunity to become a thought leader in the field.