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Tech Stack
Tools & technologiesHadoopJavaScriptPySparkPythonScalaSparkSQLTableau
About the role
Key responsibilities & impact- Assist businesses in the decision-making process for Data Driven projects using the following steps:
- Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
- Propose solutions and strategies to tackle business challenges.
- Present results in a clear manner
- Clean and prepare the data with the Data Scientists.
- Collect and transform data from the various sources available in big data environments.
- Provide data visualization to inform business decisions.
- Analyze and interpret data to extract complex relationships and trends.
- Optimize data exploration using Machine Learning techniques.
- Adapt and integrate analytics models into the client's IS environment.
- Assist the IT teams in all phases of the production, maintenance and updating of the models developed.
Requirements
What you’ll need- Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
- Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese...)
- 0 to 3 years of technical experience in advanced analytics and business intelligence
- Exposure to Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark etc. &Big Data querying tools, such as Pig, Hive, and Impala
- Exposure to large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
- Exposure to Python programming language coupled with an additional languages experience if possible (e.g. SAS, R, Javascript)
- Good skills in Analytical concepts such as data correlation, pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, etc.
- Experience in BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView…
- Exposure to versioning software: Git, Github, Gitlab
- Exposure to API integration using Python for extracting data from different sources
- Ability to step back, analyze problems, find solutions and the drive to implement these.
- Ability to work & collaborate with variety of stakeholders & clients throughout data project life-cycle
- Strong interpersonal skills and organisational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems.
- Good communication skills & ability to translate complex solutions into business implications and at the same time being able to explain mathematical concepts when required.
Benefits
Comp & perks- A competitive salary
- A great working environment
- A steep learning curve with interesting and diverse topics to work on
- A healthy work-life balance
- Health insurance Benefits
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata visualizationmachine learningdata cleaningdata transformationdata correlationforecastingAPI integrationPythonSQL
Soft Skills
problem-solvingcollaborationinterpersonal skillsorganizational skillsattention to detailflexibilitystress managementcommunicationanalytical thinkingpresentation skills
Certifications
Master's degree in Computer ScienceMaster's degree in Machine LearningMaster's degree in Data ScienceMaster's degree in StatisticsMaster's degree in Applied MathematicsMaster's degree in Data Engineering