Data Scientist - SE2/SSE

Responsibilities:

- Lead end-to-end data science projects, including problem formulation, data collection, cleaning, feature engineering, model development, validation, and deployment.

- Apply advanced statistical analysis, machine learning algorithms, and data mining techniques to extract insights and patterns from large-scale structured and unstructured data sets.

- Collaborate with stakeholders to define project objectives, deliverables, and success metrics aligned with business goals.

- Develop and maintain scalable and efficient data pipelines, ensuring data integrity, quality, and security.

- Implement and optimize machine learning models, deep learning architectures, and other statistical techniques to solve complex business problems.

- Design and conduct rigorous experiments, A/B tests, and statistical hypothesis tests to measure the effectiveness of data-driven solutions.

- Communicate complex analytical findings and insights to both technical and non-technical stakeholders through visualizations, presentations, and reports.

- Stay up-to-date with the latest advancements in data science, machine learning, and related technologies, and apply them to improve existing processes and methodologies.

- Provide guidance, mentorship, and technical leadership to junior data scientists, fostering a collaborative and knowledge-sharing culture within the team