Data Scientist / Data Analyst
夠酷比股份有限公司
台北市大安區
2天前
source : 一零四資訊科技股份有限公司

工作內容

Gokube is looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations.

They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.

The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A / B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.

  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Qualifications

  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
  • and their real-world advantages / drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
  • and experience with applications.

  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We're looking for someone with solid experience manipulating data sets and building statistical models, has an advanced degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software / tools :
  • Knowledge and experience in statistical and data mining techniques e.g. : GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages : R, Python, SLQ, etc.
  • Experience using web services : Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers : Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data / computing tools : Map / Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing / presenting data for stakeholders using : Periscope, Business Objects, D3, ggplot, etc.
  • 職務類別 電腦系統分析師 市場調查 市場分析 演算法開發工程師 認識 職務

  • 詳細職類分析(工作內容 薪資分布..)
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  • 工作待遇 月薪 40,000 70,000元 工作性質 全職 管理責任 不需負擔管理責任 出差外派 無需出差外派 上班時段 日班 休假制度 週休二日 可上班日 不限 需求人數 1至2 人

    條件要求

    接受身份 上班族 應屆畢業生 研發替代役工作 外籍人士 學生實習 工作經歷 不拘 學歷要求 大學以上 科系要求 不拘 語文條件 不拘 擅長工具 不拘 工作技能 不拘 其他條件 未填寫

    特休 年假 一定有

    週休二日or月休10天

    定期團隊聚餐 凝聚向心力

    彈性上下班 有事免煩惱

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