Create and deploy repeatable, interpretable, dynamic, and scalable propensity models, through the use of statistical, algorithmic, mining, and visualization techniques
Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts, and developers
Advocate and educate on the value of data-driven decision making
Prepare data from different data sets for building predictive models and to communicate the results.
Develop AI and Machine learning solutions to optimize business performance
Skills and Knowledge
MSc, in Computer Science, Computer Engineering, Mathematics, or closely related fields
Expertise in Python
Strong knowledge of machine learning algorithms and libraries (e.g. MLlib, Scikit, etc.)
Strong SQL skills and knowledge of relational databases
Strong analytical skills with excellent problem-solving abilities
Experience with development tools and systems (Linux, Git)
Knowledge of back-end development skills (e.g. in Flask web framework)
Good knowledge of query engines for big data (e.g. Elasticsearch) and visualization tools (e.g. Kibana) is a plus
Experience working with Hadoop, Spark, Kafka is a plus
Familiarity with NLP is a plus
Ability to deliver data science projects from start to end, such as idea generation, project definition, implementation, testing, and deployment
Understanding of the software development lifecycle and experience working as part of a development team
Good written English communication skills
Enthusiastic, team-oriented, detail-oriented, and responsive personal style
معرفی شرکت
در گروه توسعه بن دا، ما اعتقاد داریم که توسعه پایدار یک فرآیند است که یک رویکرد جامع برای جنبههای مختلف اجتماعی، اقتصادی، محیط زیست و محیطی را در بر میگیرد. هدف اصلی تمامی شرکتهای تشکیل دهنده این گروه در تمام پروژههای ساخت و ساز، ارتقاء کیفیت زندگی و ایجاد یک تغییر مثبت در زمینههایی است که قصد داریم در آن مداخله کنیم.