Luma Wave Tech
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Data Science
Machine Learning (ML)We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and communicating findings to drive data-informed decision-making within the organization. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, as well as excellent problem-solving and communication skills.
Responsibilities:
- Data Collection and Cleaning: Gather, clean, and preprocess data from various sources, ensuring data quality and integrity.
- Exploratory Data Analysis (EDA): Conduct EDA to understand data distributions, identify patterns, and uncover insights.
- Feature Engineering: Select, transform, and create relevant features to improve model performance.
- Model Development: Develop and implement machine learning models for prediction, classification, and other analytical tasks.
- Model Evaluation and Selection: Evaluate model performance using appropriate metrics and select the best model based on business requirements.
- Model Deployment and Monitoring: Deploy models into production and monitor their performance over time.
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With a remarkable footprint spanning 192 countries and over 2 million downloads, our apps have already generated 100 million receipts, evidencing our substantial global impact.
As a 100% bootstrapped company, our journey from inception to cash-positive operations exemplifies our dedication and resilience. We stand as a beacon of innovation and sustainability in the SME sector.
🤑 Funding
We are proud to be cash flow positive and have not yet tapped into VC funding, setting us apart from 99% of startups. This financial stability allows us to invest in our team's growth through a robust ESOP pool.
Securing funding will further accelerate our growth. Joining our team now offers a unique opportunity to create significant value, especially before our fundraising efforts take off.
⚠️ Before you apply
If you're looking for a standard 9-5 job, we are not a match. However, if you seek an exceptional learning curve, exposure to multiple verticals, and the opportunity to help establish processes that will propel our growth, we encourage you to apply. Our journey is dynamic, requiring flexibility and adaptability to changing needs.
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