Job Description
Our client is a major in online solutions and mobile marketing platforms.
Responsibilities
- Collaborate with project team members including data science and engineering teams to understand client requirements and objectives
- Prepare datasets pertaining to data collection, preprocessing and feature engineering for data analytics and AI solution development
- Apply exploratory data analysis, statistical techniques and machine learning algorithms to uncover patterns, trends and anomalies, as well as extract actionable insights
- Support the development, validation and deployment of AI solutions according to the model management process, such as model training, evaluation and optimization
- Stay updated on the latest advancement in data science and machine learning, and contribute to the continuous improvement of the methodology
- Communicate findings and recommendations to project stakeholders through clear and concise presentations and visualization
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
- 4+ years of experience as a Data Scientist, with a focus on industries
- Descriptive Analytics
- Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path)
- Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases
- Experience with statistical and machine learning techniques
- Proficiency in optimizing large complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others
- Experience 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)
- Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery
Benefits
- Hybrid - Onsite 3 Days, WFH 2 Days per week 9.00-17:30
- SSO
- 8 days annual leave
- 30 days of sick leave