About position.
We are a Direct-To-Consumer leading organization that has developed digital products and services that generate over $1B across 10 markets.
**Responsibilities**:- Engaged and proactive, focused on solving business problems using advanced analytic solutions.
- Passionate about data, who enjoy manipulating and exploring large volume of databases.
- Solution owners to innovate in solving the business problem, with creativity and providing analytical thinking to the teams.
- Hands-on, developing, applying, and disseminating solutions to match business needs.
- Develop a data-driven culture.
- Develop our understanding of the products, business, and learners by analyzing learnerbehavior to uncover patterns and identify opportunities for improvement.
- Partner with other data scientists to develop measurement plans for new data product launches and to share context from different areas of the business and build a more complete and consistent understanding of what data tells us about our learners.
**Requirements**:- Importante empresa with a Data Science Programming language, such as Python or R coupled with SQL.
- Knowledge of the main frameworks applied to Data Science (Pandas, Numpy, Matplotlib, Scikit-learn or equivalent knowledge in R).
- Knowledge in cloud computing elements for manipulating and exploiting large volumes of data (Spark, Hadoop, etc.).
- Ability to use statistical techniques.
- Knowledge in machine learning concepts and techniques, such as supervised and unsupervised learning, -deep learning, recommendation systems, reinforcement learning.
-Strong written and verbal communication skills, with the ability to convert technical results into data stories.
- Working familiarity with versioning and the command line (Git, ?github?, ?gitlab?).
- Importante empresa with both structured and unstructured data:Architecture, feeds, mapping, cleaning and visualization.
- Familiarity with the steps of the ML Ops treadmill (model building, deploy, monitoring).
- Importante empresa in deploying models and putting models into production.
- Innovative / creative mindset.
- Excellent strategic and analytical thinking skills.
We expect our team members to learn quickly and handle several challenges, wherever they are needed within the company.
- Strong written and spoken English (Professional).
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