Data Scientist

3 weeks ago


Jakarta, Indonesia VLink Inc Full time

Perform data science project development processes, including Exploratory Data Analysis, data cleansing, model development, and deployment using a combination of SQL and R/Python.
- Conduct exploratory research/analysis to determine the best fit model to solve a particular business problem.
- Monitor the performance of the model in the production environment
- Continuously improve the process for model development, validation, and analysis
- Present findings to the team and business unit through visual data story-telling
- Collaborating actively across functional partners and senior management to accomplish various project objectives
- Develop descriptive analytics visualization to support self-service BI platform development
- Minimum Qualifications: Bachelor’s or Master’s in Mathematics, Statistics, Computer science, Engineering or another quantitative field
- Strong problem solving skills
- Have minimum 1 years of working experience as Data Scientist or Data Analyst
- Experience using statistical computer languages (R, Python, Spark, SQL, etc.) to manipulate data and draw insights from large data sets
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
- Excellent communication and presentation skills

Since our founding in 2007 in US and VLink Consulting Indonesia (VCI) established in 2018, VLink is truly in a class of our own for our ability to deliver on all points important to our valued customers. We are an end-to-end global partner that provides consultative to coding services. Our delivery model, based on our global presence in North America and APAC regions, provides IT services and strategic workforce solutions. Our engineering mindset enables us to swiftly create affordable and tailored solutions for our customers - large and small.


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