精选DS岗位 | Capital One、Bayer、Square公司放岗！
为大家献上今天的精选岗位！
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【Square】
职位：Data Scientist, Customer Success
行业分类：Financial services, Mobile payment,Point of sale
公司规模：8,521人
工作地点：Chicago, United States
职位要求：
3+ years of analytics experience and a Bachelor’s degree or equivalent
Fluency in SQL, Python, and Machine Learning, with experience exploring and understanding large, complex datasets & data systems
Experience working with technical and non-technical partners, including creatives and product marketing managers
Experience working on business and product initiatives focused on growth and retention
Familiarity with statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, cross-selling, and predicting churn
Experience maintaining a backlog and performing independently
【Capital One】
职位：Business Analyst Intern - Summer 2024
行业分类：Financial services
公司规模：50,800人
工作地点：McLean, VA；Richmond, VA；Plano, TX
职位要求：
Currently pursuing a Bachelors or higher with an expectation that the most recent degree will be obtained by August 2025 or earlier.
Must be continuing in the same course of study of the most recent degree following completion of the internship
【Bayer】
职位：Data Science Intern
行业分类：Pharmaceuticals, Chemicals, Biotechnology, Healthcare
公司规模：99,637人
工作地点：Palo Alto, California
职位要求：
Required Qualifications:
Currently enrolled at the University of Illinois-Champaign Urbana pursuing an undergraduate or graduate degree in Computer Science, Statistics, Data Science, Mathematics, or Computational Biology.
Strong programming skills in R, Python, SQL, Java or Linux.
Problem solving ability and experience in analyzing and presenting complex data.
Organizational, interpersonal, and written communication skills.
Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts.
Ability to communicate complex ideas in a clear, precise and actionable manner.
Detail and results oriented with the ability to work independently.
Ability to actively engage with internal partners and external collaborators to align strategies and success measures in analytics.
Able to work 40 hours per week.
Must be registered and currently enrolled at the University of Illinois Urbana-Champaign.
Desired Skills/Preferred Qualifications:
Project dependent.
Willingness to extend own data science and statistical interests to agriculture and/or experience working with agricultural/biological scientific data.
Proficiency in Machine Learning and Statistics algorithms and concepts (Mixed Models, Random Forest, Deep Learning, SVM, etc.).
Experience with cloud computing such as Hadoop and Spark.
Experience in Agronomy, Biology, or Crop Science.
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