Data Scientist

Responsible to design, develop and implement analytic use cases on various use cases across industry verticals using Telco data as the main ingredients. Preferably a T-Shaped skills owner, having cross-discipline knowledge with at least one deep discipline expertise. Responsibilities:Design analytics framework (ML and statistical model) for various use casesMaintain the quality and execution of the analytics models for various productPerform periodic review on the implementation of the model and data pipeline.Collaborate with the data science and analytics team within the playground to produce high-quality dashboard to monitor the performance of the product.Collaborate with analytics team to advice on the usage of Telkomsel data asset to solve business problems.Perform consultative and help the implementation of analytics use case across the organization and be the champion in terms of advanced analytics models such as Machine Learning.Perform exploratory data analysis on various data sources to get new insights to improve the model and give recommendation for product development. Profile of Candidate: a. Formal Education: Degree: min. S1 / S2 Major : Computer Science, Statistics, Mathematics, Engineering or other quantitatives fields b. Certification : Optional (cloud ready data scientist)Microsoft Certified: Azure Data Scientist AssociateAWS Certified Machine Learning - Specialty Google Cloud Certified: Professional Machine Learning Engineer c. Skill, Tools & KnowledgeExcellent programming skills in Python.Excellent verbal communication skillAnalytical mind and great business senseExcellent data query or manipulation skill using SQL.Experienced in using various tools for data science/analytics such as scikit-learn, pandas, numpy.Experienced in using data visualization tools such as Tableau, PowerBI.Experienced in using various database platform such as MySQL, PostgreSQL, Hive, Bigquery, etc.Advanced problem-solving skills.Having experimental mindset which is driven by intellectual curiosity to always find and improve their own works.Knowledge of data framework in Python such as Kedro, Airflow, MLFlow, etc is a plus. d. Industry / Company Experience : Telecommunications, FMCG, or Financial Services preferred f. Additional InformationMin. 2 years of experience in Data Science / Analytics, such as Data Analyst, Data Scientist, or Business Intelligence Analyst.Exposure to lead end-to-end deployment of advanced analytics pipeline, collaborating with data engineering or backend engineer team.Experienced in translating business to data science problem and performing online experiments to validate the hypothesis.Implemented analytical or Machine Learning model to production, which are run on a periodic basis to solve specific business use case.Develop analytics or ML model such as regression, clustering, or classification. Also already have and or manage model that already put on production (i.e create or manage model already used by business or solution).Crafting raw or tabular data into insights and presenting it to the stakeholders via means of compelling data visualizations.Collaborating with various data-related roles in the organization to solve business use case, e.g., with Data Engineer, Data Analyst, Product Manager.Perform model monitoring to ensure that the trained model is stable and reliableDesign A/B testing scenarios in an online experiment setting to validate hypothesis and test the performance of the analytical models. Also interpreting the result of the experiments in metrics which are well-understood by business users.Diversity: preferred female candidate.