SENIOR DATA SCIENTIST

SENIOR DATA SCIENTIST (Jakarta JK, Indonesia) 15 days ago

Key Responsibilities

  • As Data Scientist in Lending and Funding squad, responsible to Determine, apply, and do tuning the algorithms within Machine Learning and drive it until production stage
  • You will work closely with Tribe Leaders, Product Managers & Data Team in identifying potential data science solutions to improve Lending and funding portfolio ‘s performance
  • Consolidate, verifying, analysing, from operational data, transaction data, marketing data, and external data to develop hypothesis and building potential quick win use case or business improvement recommendation
  • Hand in hand with data engineering and IT team identifying potential available data, for developing the business DataMart, build the models, train the model, validate, test it and fine tuning on real world use case
  • Collaborate with the Data Engineer and Business Unit Leads to determine the system technical requirement and functional specifications
  • Based on defined business model, the data scientist will collaborate to do prototyping diverse machine learning models, such as but not limited to: Credit Scoring, Predictive Model, Propensity to Buy, Attrition Analysis, Recommendation Engine, etc
  • In charge and comfortable in model presentation, articulating, communicating in concise , effective and clear communication during the model development towards line of business, risk team and technical team
Minimum Qualifications

A Data Scientist is a specialist in doing deep dive analytics, with advanced level proficiency in data analytics by applying data science methodology, creating model algorithm (Mathematics or Statistical Model), data mining technique and storytelling delivery skills. He/she will perform data science practice for our Lending and Funding Business who will be instrumental and decisive in developing advanced analytics assets (but not limited to Credit Scoring, Propensity Model, Predictive Model, Recommender System, Risk Model Support, etc ) to support tribes’ objective key result and optimal business outcome.

    Job Requirements:

    • Minimum Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering and related major is preferred
    • Minimum 2 years experience as Data Scientist at Banking, Financial Services / FinTech Company
    • Comfortable in scripting and strong in some of following programming languages: R, Java, Python with experience to apply Machine Learning frameworks and libraries (TensorFlow, Keras, Spark MLlib, Sklearn, pandas, etc)
    • Familiar or has basic knowledge in one of data processing with statistic tools (SAS, SPSS, KNIME, Matlab, etc)
    • Intermediate to advanced knowledge in some of data science methodologies either classic or black box including but not limited to classical regression, neural network, association rules, sequence analysis, classification, cluster analysis, gradient boost, text mining, etc.
    • Solid analytical and problem-solving skills to interpret, derive and create data-driven insights
    • Actively contribute in all aspects of ML model development: data wrangling, feature engineering, model selection / architecture, training, offline evaluation, plans A/B experimentation & roll out (production)
    • Passionate and/or practicing in data technologies (Big Data, ETL, visualization, AI, ML, Deep Learning , etc) and care with details, numbers, and data’s quality.
    Perks and Benefits
    •  Flexitime
    •  Paid Sick Leave
    •  Retirement Benefit Plans
    •  Medical / Health Insurance
    •  Performance Bonus
    •  Flexitime
    •  Paid Sick Leave
    •  Retirement Benefit Plans
    •  Medical / Health Insurance
    •  Performance Bonus
    Office Address
    Jl. Prof. Dr Satrio Blok C4 No.25, RT 14/RW 4, Kuningan Timur, Setiabudi
    Bank OCBC NISP was established in Bandung in 1941 under the name Nederlandsch Indische Spaar en Bank Deposit. By the end of 2019, Bank OCBC NISP serves its customers through 283 office networks in 57 cities in Indonesia, equipped with 669 Bank OCBC NISP ATM units that can be accessed in more than 195,300 ATM networks in Indonesia, as well as connected with more than 766 OCBC ATM networks Groups in Singapore and Malaysia. Bank OCBC NISP also serving its customer through various digital channel, the mobile banking and internet banking both for individual and corporate customers. Bank OCBC NISP received an idAAA (stable) rating from PT Pemeringkat Efek Indonesia (PEFINDO) and AAA (idn) / stable from PT Fitch Ratings Indonesia.

    SENIOR DATA SCIENTIST

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