Middle Data Scientist MLOps
Middle Data Scientist MLOps
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Job Description
Background:
We are seeking a passionate Data Scientist MLOps to join our Engineering Project Dashboard team aiming to provide KPIs and metrics to monitor engineering activities of projects engineering work packages. Customers of Engineering Dashboard digital services are spread all around the world leading teams with different granularity and looking for contextual information related to their projects.
Mission:
Our Data Scientist MLOps colleague will define and implement the injection of engineering data into a Data lake dedicated to Thales engineering data. This job requires to process raw data in possibly huge amount (terabytes) to analyze format and refine them (statistical analysis normalization and cleaning steps outliers detection and management). From this data it is required to understand the problem to be solved and find the right models for extraction. From the models produced it is required for our colleague to be able to compare different models to identify the most performing ones. In case of huge data amount knowledge in big data techniques and environment (HDFS and related tools) may be required.
Main responsibilities:
Develop update maintain the project data models and manage the data sets for the development and operation process.
Handling vague metrics deciphering inherited projects and defining customer records.
Data Extraction: identify and extract relevant data from various sources including databases CSV files APIs PDF and other systems.
Data Transformation: clean normalize and transform data to ensure it is in a suitable format for the organization needs. This may involve data manipulation joining different datasets applying statistical functions converting data types.
Data Loading: load transformed data into appropriate storage systems
Data Validation and Quality Assurance: ensure the accuracy and integrity of data throughout all stages of the ETL process. Perform and integrate quality checks and tools to identify and correct errors or discrepancies.
Documentation: create and maintain documentation related to data flows and model transformations applied and validation procedures.
Data Analysis: use loaded data analyze data distributions visualize patterns to extract valuable insights generate reports identify trends and support datadriven decisionmaking.
Stay in touch with the Group Data Management in various function to ensure alignment with the recommendations and strategies.
Maintain clear and close collaboration with both the development team and the project stakeholders/ key users.
Who you are:
Bachelors degree in Computer Science Information Systems Data Modelling Data Science or a relevant experience
Highvalue skills to tackle specific analytical problems
Proven experience in data analysis and ETL processes and tools
Proven data engineering skills
Very good statistical data analysis skills and attention to detail
Proven data modeling (Weka TensorFlow Keras and knowledge of core algorithms) skills
Good knowledge of relational SQL database
Good knowledge of nonrelation databases (e.g. MongoDB etc. in case of huge amount of data)
Good communication and relationship with the stakeholders and team members
Capable to give and receive feedback; able to listen and share able to give constructive feedback
English knowledge; French would be a plus
Agile mindset & practices
Employment Type
Full-Time
