{"id":2615820,"url":"https://alion.io/job/binance-binance-accelerator-program-data-scientist-user-growth-2","title":"Binance Accelerator Program - Data Scientist (User Growth)","company":{"id":44,"name":"Binance","domain":"binance.com","url":"https://alion.io/company/binance","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":["SG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":76000,"period":"year","method":"role_seniority_country_cell","sample_n":13},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"bandit","optional":true},{"name":"Flink","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-15T09:47:39Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T02:19:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.\nResponsibilities:\nParticipate in the design and development of algorithm strategies for user growth, including but not limited to user segmentation, intelligent recommendation, and incentive strategy optimization.\n\nBuild user lifecycle models (LTV prediction, churn warning, conversion prediction, etc.) based on user behavior data to drive precision operations and decision-making.\n\nDesign and implement A/B testing experiments to evaluate the effectiveness of growth strategies and drive continuous iteration and optimization.\n\nExplore user characteristics and behavioral patterns using machine learning and causal inference methods to improve user retention and conversion.\n\nCollaborate closely with product, operations, and engineering teams to translate algorithmic capabilities into measurable business growth outcomes.\n\nRequirements:\nCurrently pursuing a Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Artificial Intelligence, or a related field. Available to intern for at least 4 days per week, with a minimum internship duration of 3 months.\n\nSolid foundation in machine learning, familiar with common models (e.g., LR, GBDT, DNN) and their applicable scenarios.\n\nProficient in Python, with hands-on experience using NumPy, Pandas, and Scikit-learn for data analysis and modeling.\n\nStrong SQL skills, able to independently extract and analyze data from databases.\n\nFamiliarity with at least one of the following areas is preferred: recommender systems, causal inference, reinforcement learning, or operations research/optimization.\n\nPrior internship or project experience in user growth, computational advertising, search/recommendation systems is a plus.\n\nStrong communication skills and self-motivation, with the ability to learn quickly and solve problems independently.\n\nNice-to-Haves\nExperience in data science competitions (e.g., Kaggle, Tianchi) with notable achievements.\n\nFamiliarity with growth-specific methods such as Uplift Modeling and Multi-Armed Bandit.\n\nExperience with large-scale data processing frameworks (e.g., Spark, Flink).\n\nPublications in machine learning, data mining, or related fields.\n\nWhy Binance\nShape the future with the world’s leading blockchain ecosystem\nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle unique, fast-paced projects with autonomy in an innovative environment\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nWork-from-home arrangement (the arrangement may vary depending on the work nature of the business team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.\nWe may use artificial 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 human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.\nWhy Binance\nShape the future of finance \nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle challenging projects in a fast-paced and innovative enviornment with autonomy\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nRemote-first, work-from-home arrangement (may vary depending on the nature of the role and team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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