As a Data Scientist, you will work closely with a multidisciplinary Agile team to build high-quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling the team to advance the data-driven decision-making capabilities of our enterprise.
This role requires an understanding of machine learning, data mining, information retrieval to design, prototype, and build next-generation advanced analytics engines and services.
**Responsibilities**:
- **Data mining, cleaning**: identify and merge relevant data and sources, test data quality, identify and resolve any irrelevant, corrupt, missing, or incongruent data; Quick learner of business needs and translate them into potential analytics solutions.
- **Software development**: write reusable, version-controlled code that can be scaled, deployed, and distributed.
- **Documentation**: capture model design choices, algorithm selection process, dependencies, preprocessing, and feature generation.
- **Value assurance**: work with business process owners to validate model outputs, construct appropriate training, tune models, and ensure value is created from models.
- **Problem framing**: participate in problem framing together with business owners for identified opportunities.
- **Communication**: to be able to actively listen to, and understand other perspectives, while also being able to share your own effectively with others.
**Requirements**:
- A degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Statistics;
- Knowledge of Machine Learning, Python, and SQL;
- Familiarity with Python Library, such as Scikit-Learn, TensorFlow, Keras, and PyTorch;
- Advanced methods: additional specialization in an advanced area/domain (e.g., NLP, RNNs);
- Advanced/Fluent English
**Differential**:
- Knowledge of time series model;
- Knowledge of predictive maintenance;
- Experience with Cloud: Azure, AWS, or Google Cloud Platform;
- Experience working on a collaborative Agile product team;
**Benefits**
- An insurance plan that covers **health and dental care** (so that you can take care of yourself)
- Vouchers for **meals and food **(so you can eat well)
- **Flexible schedule** (for you to work at the best time)
- In-office massage and manicure (so you can relax and stay beautiful
- **Mentorship program** (so you can become more talented)
- **Gympass** (for you to get in Shape)
- Snacks and Breakfast at the office
- An inclusive environment
**It's all and many more without a discount