Remote Data Scientist Analyst

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 activities include contributing to Aryng's growth through 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.
• Learning from industry experts.
• Maintaining work-life balance.
• Competitive salary.
• Non-hierarchical and highly collaborative work environment.
• Exposure to end-to-end problem-solving.
• 50%+ Tax Benefit.
• Fully remote work setup.
• Potential to become a thought leader in the field.