Data Scientist Job Description
A Data Scientist is a skilled expert who uses math, problem-solving, and coding skills. This is done in order to manage large amounts of data and get useful insights from them. So, they use this information to make custom solutions that help groups reach their goals and objectives.
This Data Scientist job description template is perfect for putting on online job boards or careers pages, so it’s easy to change to fit your company’s needs.
Among a Data Scientist’s duties are:
- Collecting, cleaning, and analyzing data.
- Putting together tools to solve business issues.
- Using data visualization methods in order to show information.
Job Brief
We need a Data Scientist to look at a lot of raw data and look for trends that will help us improve our business. We will also depend on you to build data products from which we can get helpful business information.
Moreover, you should be good at analysis, math, and statistics if you want to work in this job. To interpret facts, you need to be able to think critically and solve problems. We also want to see that you are interested in research and machine-learning.
Eventually, your job will be to help our company determine how to make better choices by analyzing trends.
Responsibilities
- Identify valuable data sources and automate collection processes.
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Build predictive models and machine-learning algorithms.
- Combine models through ensemble modeling.
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
Skills and requirements
- Proven experience as a Data Scientist or Data Analyst.
- Experience in data mining.
- Understanding of machine learning and operations research.
- Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ is also a plus.
- Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop).
- Analytical mind and business acumen.
- Strong math skills (e.g., statistics, algebra).
- Problem-solving aptitude.
- Excellent communication and also presentation skills.
- BSc/BA in Computer Science, Engineering, and other relevant field. However, a degree graduate in Data Science or other quantitative field is preferred.
Salary Range
The average monthly salary for Data Scientist jobs in Malaysia ranges from RM 6,050 to RM 8,550.
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