
Data Analytics Leader
Há 4 dias
Senior Data Scientist Position
We are seeking a skilled Senior Data Scientist to join our team and play a key role in driving business growth through data-driven decision making. The ideal candidate will have a strong background in machine learning, deep learning, and statistical modeling, with experience in developing and deploying advanced analytics solutions.
About the RoleThe Senior Data Scientist will be responsible for designing and implementing complex analysis of datasets, developing and deploying advanced machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insight discovery. This role requires strong technical skills, excellent communication skills, and the ability to work effectively with cross-functional teams.
- Main Responsibilities:
- Design and implement complex analysis of datasets and develop advanced machine learning and deep learning algorithms for portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insight discovery.
- Develop and deploy scalable data processing workflows on cloud platforms such as Azure, Databricks, and Spark.
- Support the design and implementation of reliable data pipelines and modeling workflows using Python and PySpark.
- Collaborate with cross-functional teams to translate business needs into technical requirements and deliver impactful, end-to-end solutions.
To be successful in this role, you will need to have:
- A Bachelor's degree in Computer Science, Engineering, Mathematics, or any quantitative field; Master's or PhD strongly preferred.
- Demonstrated success applying machine learning and statistical modeling techniques in production environments to drive measurable business impact.
- Experience mentoring and coaching data scientists and engineers, fostering skill development and knowledge sharing within cross-functional teams.
- Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis.
- Exceptional communication skills, with the ability to translate complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
- Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of relevant libraries and frameworks.
- Good knowledge of CI/CD tools like Github for version control and collaboration. Familiarity with other collaboration tools is a plus.
- Understanding of workflows and automation tools to streamline processes and enhance efficiency.
We offer a competitive compensation package, including:
- Performance-based bonus*
- Attendance Bonus*
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Discounts on Ambev products*
- School materials assurance
- Language and training platforms
We are an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.
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