
Data Scientist: Machine Learning Engineer
3 days ago
We are seeking a highly skilled and innovative professional to lead our data science initiatives, drive business growth, and support commercial & clinical strategies.
Job Responsibilities- Design and develop cutting-edge data solutions using advanced statistical and mathematical models, predictive modeling, and machine learning algorithms.
- Collaborate with cross-functional teams to deliver data-driven insights and drive business decisions.
- Develop and maintain scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow.
- Experience in delivering data science projects leveraging cloud infrastructure, including AWS, Azure, and GCP.
- Expertise in feature engineering, feature selection, and model validation on big data.
- Knowledge of self-service analytics platforms such as Dataiku, KNIME, and Alteryx is an added advantage.
- Master's degree in Computer Science, Statistics, or Mathematics.
- 3-5 years of experience in data science, machine learning, and artificial intelligence.
- Proficiency in programming languages such as Python, Java, and C++.
- Experience with cloud technologies, including AWS, Azure, and GCP.
- Knowledge of data visualization tools such as Tableau and Power BI.
- Ability to work in a fast-paced environment and adapt to new technologies and tools.
Our company offers a competitive salary, comprehensive benefits package, and opportunities for career growth and development.
OthersAs a Chief Data Innovation Specialist, you will have the opportunity to work on high-profile projects, collaborate with cross-functional teams, and drive business growth through data-driven insights.
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