© 2020 by PT Unistellar Global Korpora

    Data Professional (Data Engineer, Analyst, and Scientist)

    Our client, a financial technology company that focuses on creating a digital lending portal has an opening for multiple positions.

    They are hoping to sign someone who has:

    • Solid communication skill, in both Bahasa and English.

    • Ability to work independently, can-do attitude, team play, and result oriented.

    • Fast learner, curious, analytical, and have excellent problem solving skills

    • Excellent data visualization and presentation skills.

    Job Requirements:

    Data Professional (Data Engineer, Analyst, and Scientist)

    • 2 - 3 Years experience in data analytics, business intelligence, or equivalent

    • Solid understanding of SQL, independently able to query databases, perform and apply joins, aggregates, filters, and search patterns

    • Familiar with quantitative analysis, statistical analysis, and modelling.

    • Bachelor degree in engineering and/or computer science.

    • Plus points if you have experiences in: 

    • Python data stack: Numpy, Pandas, Scipy, Scikit-Learn, or equivalent in R and Scala

    • Experience in quantitative analysis, statistical modelling / machine learning

    • Presentation / BI tools: Tableau, Jupyter, Kibana, Bimo, Superset, Excel, Powerpoint

    • Linear Algebra, (Multivariate) Calculus, Applied Mathematics and Statistics, algortihms, and complex optimization

    • Master's Degree on engineering, computer science, or similar degree.

    Key Responsibilities:

    • Work independently to develop problem definitions and hyptoheses, analyze and produce data-driven, actionable insights and present and communicate results in a clear and concise manner.

    • Help develop machine learning applications and solutions.

    • Work together with fellow data professionals to design and deploy data-driven solutions with high business value.

    • Gather and import data from different sources, write your own SQL queries, reshape, wrangle, and cleanse data for quantitative analysis.

    • Carefully summarize, explain, and understand the assumptions and statistical limitations of your data and analysis.

    • Develop beautiful and concise presentations, reports, and dashboards.

    Statistician

    Job Requirements:

    • 2-3 years experience in quantitative analysis, statistical analysis, and modelling.

    • 2-3 years experience in at least one statistically-oriented scripting languange such as python, R, MATLAB, SPSS, Scala, or equivalent.

    • Solid understanding of SQL, independently able to query databases, perform and apply joins, aggregates, filters, and search patterns.

    • Excellent data visualization and presentation skills.

    • Bachelor degree in statistics, mathematics, applied maths, engineering, computer science and/or similar degrees.

    • Plus points if you have experiences in: 

    • Python data stack: Numpy, Pandas, Scipy, Scikit-Learn, or equivalent in R and Scala

    • Presentation / BI tools: Tableau, Jupyter, Kibana, Bimo, Superset, Excel, Powerpoint

    • Experience in deep learning, NLP, credit risk scoring, risk analysis

    • Master's Degree on engineering, computer science, or similar degree.

    Key Responsibilities:

    • Work independently to develop problem definitions and hyptoheses, analyze and produce data-driven, actionable insights and present and communicate results in a clear and concise manner

    • Perform statistical modelling and quantitative analysis.

    • Apply statistical theorems and best practices in all of our data driven decision process

    • Work together with fellow data professionals to design and deploy data-driven solutions with high business value.

    • Gather and import data from different sources, write your own SQL queries, reshape, wrangle, and cleanse data for quantitative analysis.