美国最新DATA岗位职位来袭
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| Data Analytics Intern |
| Job Type: Internship Location: SAN FRANCISCO, CA |
| Responsibilities • Work with product managers and designers to provide analysis of and insights into player behavior and overall game performance to drive product decisions using our top of the line data warehouse. • Create easily interpretable live dashboards to allow for rapid analysis of product health, feature prioritization, event performance and monetization. • Identify and drive analytics projects that you want to work on that will provide positive ROI for the studio and company. • Collaborate on machine learning/other data science projects to improve monetization and engagement. Qualifications • Majoring in a business or quantitative discipline (Economics, Statistics). • Some experience using SQL (experience with statistics software, Python, R a plus), excel and data visualization tools. • Knowledge of statistics and statistical models (linear/logistic regression, cluster, factor analysis). • Strong communication skills to articulate quantitative analysis in a way that broad game teams and executives can understand. • Ability to plan, execute, present results on analysis projects. |
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| Data Science Intern (Summer 2020) |
| Job Type: Internship Location: Remote |
| Responsibilities • Collaborating with a team to analyze problems • Writing functions/scripts to build datasets base • Modeling, building, and testing • Writing informal reports for internal use • Working with developers and implementation engineers to develop database domain models Qualifications • Experience with R, Python, or Matlab • Experience building time series, spatial, or financial forecasting models for prediction • Familiarity with any or all of the following: – Cross-validation – Gradient Boosting – Deep Learning – Data Visualization – Containerization – Dirichlet Latent Process – Ensemble methods – Time series analysis (GARCH, auto-regressive or moving average, etc.) – Bayesian inference – Random forest and decision tree models • Solid communication skills • Comfortable working in an entrepreneurial environment |
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| Data Engineer |
| Job Type: Full-time Location: Portland, OR |
| Responsibilities • Learn and maintain knowledge relevant to consumer behavior, fraudulent activity patterns and payment processing. • Support the creation and maintenance of a diverse set of calculations that support the Data Science team • Support others with your deep knowledge of T-SQL and data processing approaches • Ability to tune workloads and integrate data from multiple platforms is a plus Qualifications • The selected candidate will possess at least five (5) years of extensive experience working with TSQL, views, joins, tuning and ETL development. • Knowledge of best practice and principles related to DevOps, ITSM, Agile and SRE. • Highly analytical and detail oriented with strong problem-solving skills. • Demonstrated skills in Microsoft T-SQL development and working knowledge of data modeling, data warehousing and data mining. • Excellent verbal and written communication, interpersonal and customer service skills. • Strong organizational skills. • Must be able to work independently and display initiative, self-motivation and dedication necessary for timely and successful work completion. • Must have demonstrated history of impeccable integrity, ethics and fair play. • Self-starter and a team player that will thrive in a fast paced environment. • High level of proficiency with MS Office tools. • Experience with multi-Terabyte databases, noSQL databases, Kafka, Spark and other cloud based technologies a plus |
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