Basic Info
MYR 5,000 - 8,500 /mth
Malaysia | Kuala Lumpur
Full-time | On-site
Job Description
- Data Mining: Identify and extract valuable data from various sources such as databases, APIs, and web scraping.
- Feature Selection and Classification: Utilize machine learning algorithms to choose the most relevant features from the dataset, develop classifiers, and refine them for better accuracy.
- Data Preprocessing: Clean and format both structured (like SQL databases) and unstructured data (like text or images) to prepare it for analysis.
- Data Integrity: Implement processes to ensure data quality by validating and cleansing data sets to eliminate inconsistencies and errors.
- Pattern Analysis: Employ statistical methods and machine learning techniques to analyze large datasets, uncover trends, and derive actionable insights.
- Predictive Modeling: Design and develop algorithms that predict outcomes based on historical data, helping to inform strategic business decisions.
- Solution Proposals: Suggest data-driven strategies to address specific business problems, leveraging analytical insights to improve decision-making.
- Collaboration: Work closely with cross-functional teams, including Business and IT, to align data initiatives with organizational goals and ensure technical feasibility.
This role will utilize advanced analytical techniques, statistical methods, and machine learning algorithms to extract meaningful insights from complex datasets.
The role required to execute the below tasks and initiative:
Job Requirements
- Educational Background: A degree in Computer Science, Engineering, or a related field.
Proven Experience: Demonstrated Min 2 years’ experience in Data Scientist role, showcasing the ability to apply these skills in real-world scenarios. - Programming Skills: Proficiency in languages like R and Python for statistical analysis and machine learning, alongside SQL for querying databases.
- Statistics: Strong foundation in applied statistics, understanding key concepts such as statistical tests, probability distributions, regression analysis, and maximum likelihood estimation.
- Machine Learning: Familiarity with various machine learning algorithms, and enabling the selection of appropriate models for specific tasks.
- Data Wrangling: Ability to preprocess and clean datasets, addressing issues like missing values, inconsistencies, and outliers to ensure data quality.
- Hands-on Experience with Data Science Tools: Practical experience using various data science tools and libraries, such as scikit-learn, TensorFlow, or similar platforms, to implement machine learning and analysis tasks.
- Analytical Mind and Business Sense: Ability to think critically about data in a business context, linking insights to strategic objectives and operational decisions.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Work location: Bukit Jalil (Nearby Pavilion Bukit Jalil)
Agensi Pekerjaan Find Talent Sdn Bhd
Human Resources, Staffing & Recruiting
Small (10 - 49 Employees)
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