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Data Analytics - Senior Data Scientist - Beirut
Posted 10 days agoViewed
💎 Seniority level: Senior, 4 to 8 years
🔍 Industry: Data Analytics
🏢 Company: Infomineo👥 101-250Information ServicesOutsourcingConsumer ResearchBig DataMarket ResearchAnalytics
🗣️ Languages: English
⏳ Experience: 4 to 8 years
Requirements:
- Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
- 4 to 8 years of technical experience in advanced analytics and data science
- Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese...)
- Proven hands-on experience in Python programming language coupled with additional languages experience if possible (e.g. SAS, R, Javascript)
- Strong skills in Statistics & Machine Learning such as regressions, Clustering techniques, Time Series techniques, Bagging & boosting trees, Ensemble models, Neural networks
- Exposure to BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView…
- Proven hands-on experience in Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark, etc. &Big Data querying tools, such as Pig, Hive, and Impala
- Proven hands-on experience in large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
- Exposure to NoSQL databases, such as HBase, Cassandra, MongoDB
- Proven hands-on experience in API integration using Python for extracting data from different sources
- Proven hands-on experience in container technologies – Docker, Kubernetes, etc.
- Proven hands-on experience in solutions development & deployment experience in Cloud ecosystems and its associated services AWS, Azure, Google Cloud, and IBM Cloud.
- Experience in building robust data pipelines using ETL techniques and frameworks, such as Flume
- Experience to work with large volumes of structured and unstructured data and leveraging it to build AI/ML model deployment & monitoring/enhancements for standalone solutions or through end-to-end automated data pipelines
Responsibilities:
- Propose solutions and strategies to tackle business challenges.
- Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
- Manage a project from A to Z
- Analyze large amounts of information to find patterns and solutions.
- Data mining or extracting usable data from valuable data sources.
- Carry out preprocessing of structured and unstructured data
- Enhance data collection procedures to include all relevant information for developing analytic systems.
- Develop prediction systems and machine learning algorithms
- Present results in a clear manner
- Processing, cleansing, and validating the integrity of data to be used for analysis.
- Assist the IT teams in all phases of the production, maintenance, and update of the models developed.
- Provide internal training to new joiners when needed.
- Support the Team Lead/Manager regarding client relationships, business development, and internal projects.
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