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Machine Learning Specialist
3 weeks ago
We are looking for a Machine Learning Specialist to join our team at Recro. The successful candidate will be responsible for developing and implementing machine learning models to drive business decision-making. This includes collaborating with cross-functional teams to identify business opportunities and optimize processes.
The ideal candidate will have a strong background in machine learning and experience working with large datasets. They will also have excellent problem-solving skills and the ability to communicate complex technical concepts effectively.
We offer a dynamic and supportive work environment, with opportunities for professional growth and development.
About Us
At Recro, we are committed to delivering innovative solutions that drive business value. Our team is comprised of experienced professionals who share a passion for leveraging technology to achieve exceptional results.
We believe in fostering a collaborative and inclusive work environment, where individuals can thrive and reach their full potential.
Join us in our mission to revolutionize the way businesses operate and succeed.
Key Responsibilities
- Develop and implement machine learning models to drive business decision-making
- Collaborate with cross-functional teams to identify business opportunities and optimize processes
- Work with large datasets to uncover insights and inform strategic decisions
- Communicate complex technical concepts to both technical and non-technical stakeholders
Required Qualifications
- Bachelor of Science or Bachelor of Engineering degree at a minimum
- 4+ years of work experience as a Data Scientist
- Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
- Good hands-on skills in both feature engineering and hyperparameter optimization
- Experience producing high-quality code, tests, documentation
Bonus Requirements
- Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
- Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
- Proficiency in statistical concepts and ML algorithms
- Good knowledge of Agile principles and process
