Data Scientist

vor 4 Wochen

Basel, Schweiz Enova Vollzeit

Starting date**:asap**

Mandatory**:E.U Nationality or Swiss Residence Permit already**

Location **:Geneva**

**Experienced AI Engineer/Data scientist**

You are extremely rigorous and have at least 3 years of proven experience in the fields of AI development software and data sciences.

As a member of a highly qualified team, you will participate in software projects and R&D activities for the development of the company’s products. A high degree of autonomy and personal commitment is necessary.

**Your responsabilities**
- You are in charge of developing and integrating components of future AI tools for very high-end research projects
- You participate in the analysis of domain experts requirements.
- You perform machine learning reports, prototyping and integration testing with domain experts.
- You train machine learning models and artificial intelligence algorithms.
- You are responsible for the quality of the data processing pipelines, data analysis and models generated.
- You make ad-hoc analysis and present results in a clear manner.
- You will be using AI libraries such as scikit-learn, PyTorch or Keras/TensorFLow.
- You will be using a defined DS tools such as pandas and plotly, or similar.
- You integrate your trained models in a service-oriented architecture, interfacing with grpc and nats among others.
- You could have to integrate third party webservice to the system (rest, json, auth).
- You process, clean, and verify the integrity of the data.
- You assess the effectiveness and accuracy of new data sources and data gathering techniques.
- You develop processes and tools to monitor and analyze model performance and data accuracy.
- You work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions.
- You coordinate with different functional teams to implement models and monitor outcomes.
- You coordinate technology watch for fields delegated to you.

**Your profile**

AI
- You have at least 3 years of experience as an engineer in an AI domain.
- You are excellent with Python (Knowledge of Java, Go and/or C++ are a valuable asset).
- Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
- Experience visualizing/presenting data for stakeholders.

**DEVELOPMENT**
- You have a proven experience in complex systems development and integration.
- Knowledge of configuration management principles at the level of individual work products.
- You have a highly developed analytical capacity, and you can understand the end user needs and transcript them to software requirements.

**ATTITUDE**
- You are adaptable, autonomous, rigorous, and service-oriented.
- You are organized with an ability to prioritize workload, meet deadlines, and utilize time effectively.
- You are interested in new technologies.
- You have a team spirit with transparent technical communication and reporting.
- Ability to analyze requirements, and identify missing information or need for clarification,
- Strong problem-solving skills with an emphasis on product development.
- Aptitude to interface with more junior data scientists and peers, to provide guidance and advice,
- Awareness of technological trends, and aptitude for self-training,
- Fluent written and spoken English is required, French and German are a plus.

**Job Types**: Full-time, Permanent

Schedule:

- Day shift

**Experience**:

- Data Science: 4 years (required)

**Language**:

- English (required)
- German (preferred)

License/Certification:

- E.U Nationality or Swiss Residence Permit (required)

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