Data Scientist

Job Description

Job Duties and Responsibilities
• We are looking for a Data Scientist who will work closely with teams like product, engineering, marketing, operations, and help solving some of their problems from a data perspective.

Primary Responsibilities:
• Developing effective ways to do various analyses like customer segmentation, user modeling, churn analysis and prediction, LTV prediction, and otherwise process large volumes of customer and device data with the intention of gaining actionable insights and making data-driven decisions.
• Collaborate closely with other team members including data scientists, engineers, and quality analysts to make sure the team is progressing as a cohesive unit and producing results. Provide technical guidance to other team members when required.
• Help multiple audiences – engineers, product managers, executives – dig into and understand the output of the team’s analyses and models using notebooks (e.g. Rmd, Jupyter), visualization, presentations etc.
• Constantly look for and adopt new techniques and tools to ensure the team stays at the forefront of modern large-scale data processing and analysis techniques

Job Qualification

Skills – Experience and Requirements
If you meet most of the following requirements, you are likely to be a great fit for the position:
• You have an academic background in applying statistics and machine learning. The typical candidate has a Bachelor’s or Master’s degree in Math, Statistics, Computer Science, or Physics or such quantitative fields or has done a program from a business school in marketing, analytics etc. with a focus on quantitative approaches.
• You have at least 2 years of experience working with data and data analysis. You have built predictive models and have done analyses to explain and understand the underlying process, variable relationships, causality etc.
• You have a wide range of statistical and machine learning tools under your belt, and deep practical insight to choose the best tools for a given problem. These include linear models for regression and classification, multi-level models, factor analysis & PCA, discriminant analysis, support vector machine, decision tree ensembles & bootstrap, neural networks, mixture models & clustering algorithms, and so on.
• You know how to incorporate prior domain knowledge in your models in a principled fashion. You are familiar with Bayesian modeling and inference; you also know when and when not to use them based on practical considerations.
• You are proficient in at least one programming language commonly used for data analysis (like R/Python), and you are comfortable with SQL

Additional Preferred Qualification:
• Experienced in designing and analyzing controlled experiments. This will be a strong plus.
• Possess strong data visualization skills using programmatic tools (e.g. ggplot2, shiny, d3.js) and other visualization frameworks like victory, highcharts etc. This will be a strong plus.
• Have worked on problems involving survival analysis or time series modeling
• Have worked with large data sets, with big data processing tools like MapReduce, Spark, Hive, etc. Have data engineering skills to do basic preprocessing, cleaning and transformations.
• Knowledgeable on different database and data warehousing systems like MySQL, Amazon Redshift, BigQuery, Teradata

Benefit
• “FPT care” health insurance provided by AON and is exclusive for FPT employees.
• Annual Summer Vacation: follows company’s policy and starts from May every year
• Salary review 2 times/year or on excellent performance
• International, dynamic, friendly working environment
• Annual leave, working conditions follow Vietnam labor laws.
• Other allowances: lunch allowance, working on-site allowance, etc.

Contact
Interested candidates should click Apply button to submit a completed Curriculum Vitae/ Resume and Cover Letter to: Recruitment Department – FPT Software Workforce Development
• Contact Person : Mrs. Bui Thi Thu Thoa
• Email : [email protected]