Job Description
Modeling and Statistical Analysis:
- Develop machine learning models, contribute to feature engineering, and model validation processes.
- Collaborate with senior team members in selecting and optimizing models for various data-driven projects.
- Apply machine learning algorithms to achieve objectives and communicate findings and risks.
- Experiment with different algorithms and techniques to enhance model performance.
- Contribute to the development of machine learning pipelines and participate in the implementation and validation of models.
Business, Data Understanding, And Impact
- Collaborate with the cross-functional teams on data-centric projects, assisting in data analysis and model implementation.
- Execute project tasks aligned with project timelines and objectives under the guidance of senior team members.
- Actively take part in data collection and preparation for various machine learning projects and tasks.
- Document the methodologies, findings, and outcomes of model experiments and present the results and findings to the team.
- Communicate technical findings effectively to team members and assist in presenting insights to stakeholders.
Mentorship And Collaboration
- Engage in continuous learning, staying updated on emerging trends and techniques in data science.
- Collaborate with peers, actively participating in knowledge sharing sessions and contributing to a collaborative team environment.
Qualifications
- 2+ years of experience as a data scientist involved in data extraction, analysis, and modeling.
- 2+ years of experience in Python and SQL or related tools for machine learning.
- Understanding of statistics and linear algebra.
- Through knowledge of machine learning algorithms and all stages of machine learning.
- Familiarity with neural networks and deep learning.
- Basic knowledge about AWS services and cloud databases.