Data Scientist
weeziePortugal3 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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Why us?
Weezie is a dynamic technology company that pioneers AI, Machine Learning, and Big Data analytics to transform fiber-optic network expansion and optimization. We are seeking an enthusiastic and skilled Data Scientist to join our innovative team and contribute to our visionary projects.
Role and Responsibilities
As a Data Scientist at Weezie, you will be instrumental in analyzing complex data sets and deriving actionable insights to drive our projects forward.
You'll play a key role in...
– Collaborating with cross-functional teams to understand project objectives and develop data-driven solutions.
– Collecting, cleaning, and preprocessing data from various sources to ensure high-quality analysis.
– Conducting exploratory data analysis to identify trends, patterns, and correlations.
– Developing predictive models, statistical analyses, and machine learning algorithms to extract insights and make informed decisions.
– Evaluating model performance, fine-tuning parameters, and optimizing models for accuracy and efficiency.
– Presenting findings and insights to both technical and non-technical stakeholders.
– Contributing to the development of data-driven features and tools within our platform.
– Staying up-to-date with the latest advancements in data science and AI technologies.
Who will be a good fit for this role?
Our Values
Weezie is a dynamic technology company that pioneers AI, Machine Learning, and Big Data analytics to transform fiber-optic network expansion and optimization. We are seeking an enthusiastic and skilled Data Scientist to join our innovative team and contribute to our visionary projects.
Role and Responsibilities
As a Data Scientist at Weezie, you will be instrumental in analyzing complex data sets and deriving actionable insights to drive our projects forward.
You'll play a key role in...
– Collaborating with cross-functional teams to understand project objectives and develop data-driven solutions.
– Collecting, cleaning, and preprocessing data from various sources to ensure high-quality analysis.
– Conducting exploratory data analysis to identify trends, patterns, and correlations.
– Developing predictive models, statistical analyses, and machine learning algorithms to extract insights and make informed decisions.
– Evaluating model performance, fine-tuning parameters, and optimizing models for accuracy and efficiency.
– Presenting findings and insights to both technical and non-technical stakeholders.
– Contributing to the development of data-driven features and tools within our platform.
– Staying up-to-date with the latest advancements in data science and AI technologies.
Who will be a good fit for this role?
- – Bachelor’s degree in Data Science, Computer Science, Mathematics, or related field (Master’s preferred).
- – Proven experience as a Data Scientist, with a strong track record of data analysis and modeling.
- – Proficiency in programming languages such as Python or R for data analysis and visualization.
- – Expertise in statistical analysis, machine learning algorithms, and predictive modeling.
- – Experience with data preprocessing, cleaning, and feature engineering techniques.
- – Familiarity with data visualization tools and libraries.
- – Strong problem-solving skills and the ability to communicate complex findings in a clear and understandable manner.
- – Team player with strong collaboration and communication skills.
Our Values
- Innovative and creative culture encouraging curiosity.
- Diversity, equity, and inclusion. Everyone is welcome. We support the diversity of the communities in which we live and serve.
- Trust and transparency. We do what we say we will do. Building trust with our employees.
- Community and environmental giving. We give back to our community by volunteering our time, supporting charitable organizations, and minimizing our footprint.
- Fun work environment Nobody works alone, we work as a team. We provide a relaxed and interactive work environment but with maximum responsibility.
- Health Insurance
- Career development and talent development
- Compensation
- Hybrid Office
Key Skills
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