Job Description
Our client is a major in online solutions and mobile marketing platforms.
Responsibilities
- Collaborating with project team members including data science and engineering teams to understand client requirements and objectives.
- Preparing datasets pertaining to data collection, preprocessing and feature engineering for data analytics and AI solution development.
- Applying exploratory data analysis, statistical techniques and machine learning algorithms to uncover patterns, trends and anomalies, as well as extract actionable insights.
- Supporting the development, validation and deployment of AI solutions according to the model management process, such as model training, evaluation and optimization.
- Staying updated on the latest advancements in data science and machine learning, and contribute to the continuous improvement of the methodology.
- Communicating in findings and recommending to project stakeholders through clear and concise presentations and visualization
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
- 3+ years of experience in data science or data analytics projects.
- Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
- Proficiency in optimizing large complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
- Familiarity with data visualization tools such as Looker Studio, Tableau, and Power BI.
- Strong problem-solving and communication skills.
- Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
Benefits
- Hybrid - Onsite 3 Days, WFH 2 Days per week 9.00-17:30
- SSO
- 8 days annual leave.
- 30 days of sick leave.