Data Scientist
Опубликовано 13 июля 2021
Направления:
Data Engineering
Deep Learning
Data Science & AI
Что Вы будете делать Обязаности
- Study new data sources and find insights/correlations to investigate how data can be used to solve new business challenges.
- Create prototypes with data sets and provide guidance on leveraging and combining new data sources for new business insights.
- Apply statistical analysis and modelling techniques on small and large datasets to solve specific business problems in diverse industrial domains.
- Provide strategic leadership in selection of platforms, tools, techniques and processes in the practice of the data science discipline.
- Collaborate with product owners / product managers from other business units and/or customers to translate business requirements into algorithmic requirements that can be implemented with statistical and machine learning techniques.
- Provide mentorship to other data scientists in the team.
- Own and drive contemporary best practices in applying and deploying data science at scale.
- Participate in designing the data architecture.
- Process, cleanse and verify the integrity of data used for analysis.
- Execute analytical experiments methodically.
Чем Вы должны обладать Обязательно
- Advanced degree (Ph.D. preferred) in engineering, science, mathematics or related subjects
- Expert knowledge of statistical programming languages such as R or Python, and SQL.
- Readiness to work with engineering teams to develop prototypes of software products leveraging exploratory data analytics.
- Expert knowledge of data visualization, using tools such as Tableau or PowerBI.
- Expert knowledge of Experimental Design and Statistical Decision Theory.
- Solid knowledge of distributed data storage and computing, including Hadoop or Cassandra.
- Practical knowledge of cloud computing, including AWS (preferred) or Azure and highly scalable databases, such as Dynamo DB.
- Knowledge of NoSQL databases, such as MongoDB.
- Great communication skills in English.
- 5+ years working and communicating with business stakeholders as a trusted adviser in data science.
- 5+ years translating business requirements into data science problem statements and execution tasks.
- In-depth understanding of the machine learning lifecycle.
- Practical skills with agile software development methods such as Scrum and Kanban
Желательно
- Experience in executing advanced analytics for customers, including marketing mix analysis, segmentation, retention modelling, targeted marketing, basket analysis, next product recommendation, and so forth.
- Experience with color science.
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