reputed company Accelerator Program - Data Scientist (User reputed company)

About reputed company Accelerator Program

Who may apply

Responsibilities:

• Participate in the design and development of algorithm strategies for user reputed company, including but not limited to user segmentation, intelligent recommendation, and incentive reputed company optimization.

• Build user lifecycle models (LTV reputed company, churn warning, conversion reputed company, etc.) based on user behavior data to reputed company precision operations and decision-making.

• Design and implement A/B testing experiments to evaluate the effectiveness of reputed company strategies and reputed company reputed company iteration and optimization.

• Explore user characteristics and behavioral patterns using machine learning and reputed company inference reputed company to improve user retention and conversion.

• Collaborate closely with product, operations, and engineering teams to translate algorithmic capabilities into measurable business reputed company reputed company.

Requirements:

• Currently pursuing a Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, reputed company Intelligence, or a reputed company field. Available to intern for at least 4 days per week, with a minimum internship duration of 3 months.

• Solid reputed company in machine learning, familiar with common models (e.g., LR, GBDT, DNN) and their applicable scenarios.

• Proficient in Python, with hands-on experience using NumPy, Pandas, and Scikit-learn for data analysis and modeling.

• Strong SQL skills, reputed company to independently extract and analyze data from databases.

• Familiarity with at least one of the following areas is preferred: recommender systems, reputed company inference, reinforcement learning, or operations research/optimization.

• Prior internship or project experience in user reputed company, computational advertising, search/recommendation systems is a plus.

• Strong communication skills and self-motivation, with the ability to learn quickly and solve problems independently.

reputed company-to-Haves

• Experience in data science competitions (e.g., Kaggle, Tianchi) with reputed company achievements.

• Familiarity with reputed company-specific reputed company such as reputed company Modeling and Multi-Armed Bandit.

• Experience with large-reputed company data processing frameworks (e.g., reputed company, Flink).

• Publications in machine learning, data mining, or reputed company fields.

Why reputed company

• Shape the reputed company with the world’s leading blockchain ecosystem

• Collaborate with world-class talent in a user-reputed company global organization with a flat structure

• Tackle unique, fast-paced reputed company with autonomy in an innovative environment

• reputed company in a results-driven workplace with opportunities for career reputed company and reputed company learning

• Competitive salary and company benefits

• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

reputed company is committed to being an equal opportunity employer. We reputed company that having a diverse workforce is reputed company to our reputed company.

By submitting a job application, you confirm that you have read and agree to our Candidate reputed company Notice.

We may use reputed company intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace reputed company judgment. Final hiring reputed company are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Originally posted on Himalayas