Data Scientist

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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 cases

Maintain the quality and execution of the analytics models for various product

Perform 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 advise 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 Formal Education

Degree: min. S1 / S2

Major: Computer Science, Statistics, Mathematics, Engineering or other quantitatives fields

Certification : Optional (cloud ready data scientist)

AWS Certified Machine Learning - Specialty

Google Cloud Certified: Professional Machine Learning Engineer

Skill, Tools & Knowledge

Excellent programming skills in Python.

Analytical mind and great business sense

Excellent 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.

Industry / Company Experience Telecommunications, FMCG, or Financial Services preferred

Additional Information

Min. 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 reliable

Design 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.

Seniority level Associate

Employment type Full-time

Job function Other

Industries Telecommunications

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