job description - Senior Data Scientist
- Collect, analyze, and interpret large amounts of data by using machine learning and predictive analytics to gain insights beyond statistical analysis.
- Have expertise in using Big Data platforms and tools, including Hadoop, Pig, Hive, Spark, and MapReduce. Data scientists are also fluent in programming languages, including structured query language (SQL), Python, Scala, and Perl, as well as statistical computing languages.
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems,
- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing,
- Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset,
- Work closely with data scientists and analysts to create and deploy new product features
Requirements
- University or Advanced Degree in Engineering, Computer Science, Mathematics, or a related field,
- 5+ years experience developing and deploying machine learning systems into production,
- Strong experience working with a variety of relational SQL and NoSQL databases,
- Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with at least one cloud provider solution (AWS, GCP, Azure),
- Strong experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc,
- Ability to work in a Linux environment,
- Industry experience building innovative end-to-end Machine Learning systems,
- Ability to quickly prototype ideas and solve complex problems by adapting creative approaches,
- Experience working with distributed systems, service-oriented architectures and designing APIs,
- Strong knowledge of data pipeline and workflow management tools,
- Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation,
- Relevant working experience with Docker and Kubernetes is a big plus.
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GLODARIS is a global consultancy firm focusing on, Lean Manufacturing Systems, Lean Six Sigma Services, Data and Information Management, Data collection, Bigdata, Geographical Information System, etc.
