Kalibrr
Kalibrr logo

Kalibrr Job Search

5★

Get better experience when you download our mobile app today. It's free and super easy to register.

Download on the App StoreGet it on Google Play
Home Credit Indonesia (Recruitment Page for TECHNOLOGY team)
Home Credit Indonesia (Recruitment Page for TECHNOLOGY team)

Senior Data Scientist  

Home Credit Indonesia (Recruitment Page for TECHNOLOGY team)

 
  • South Jakarta, Indonesia
    12, Plaza Oleos, South Jakarta, DKI Jakarta, Indonesia, South Jakarta, DKI Jakarta, Indonesia
    South Jakarta
    DKI Jakarta
    Indonesia
    Indonesia
  • Full timeFULL_TIME

Expired 2 years ago

2021-11-04T17:00:00+00:00
Job closed.

Job Description

Data Scientist is one of key-role in Big Data Team. Candidate is expected to provide consultation on how to build machine learning ecosystem for financing company, come up with ideas how machine learning can help business, conduct end-to-end lifecycle process of machine learning models, communicate technical ideas and result to non-technical users in written & verbal forms, and strengthen the knowledge inside and outside the team.

Responsibilities:

  • Work with data engineers to built ecosystem for machine learning.
  • Work on machine learning models that would have an immediate and massive impact on the business.
  • Utilize enormous amount of data, both unstructured and structured data.
  • Share knowledge to the team and outside team.
  • Passionate to solve real-world problems using machine learning techniques.
  • Work with local and HQ data engineers to built ecosystem for machine learning.
  • Work with other departments to generate business ideas, consult for predictors, and present the result of research.

Minimum Qualifications

  • Master / Bachelor in Computer Science, Statistics, Mathematics, Physics, or related fields.
  • 3+ years experience developing Production-grade machine learning models.
  • Strong programming skills (Python, R, or Java preferred).
  • Deep understanding of various machine learning techniques; the statistics behind the algorithm, data sampling, feature engineering, hyperparameter tuning, exploratory analysis, etc.
  • Able to converse in English fluently.
  • 2+ years of experience with programming language (Python, R, Java, etc).
  • 2+ years of experience with machine learning frameworks (scikit-learn, Spark MLlib, caret, etc).
  • 1+ years of experience with Big Data platform (HDFS, Hive, S3, Spark).
  • Knowledge of specific domain such as Credit Scoring, Risk Analytics, Marketing Analytics, Fraud Prevention, etc.
  • Experience with cloud technologies (Google Cloud Platform, Amazon Web Service, etc).
  • Experience with deep learning frameworks (TensorFlow, Keras, etc).
  • Passionate about data.
  • Excellent problem-solving skills, critical thinking and conceptual thinking abilities.
  • Crave for new technologies/algorithms with fast learning and understanding process.
  • 'No wall can stop me' behavior.
  • Friendly.

Perks and Benefits

  • Gym MembershipGym Membership
  • Medical / Health InsuranceMedical / Health Insurance
  • Paid Sick LeavePaid Sick Leave
  • FlexitimeFlexitime
  • Performance BonusPerformance Bonus
  • Paid HolidaysPaid Holidays
  • Paid Vacation LeavePaid Vacation Leave
  • Maternity & Paternity LeaveMaternity & Paternity Leave

Required Skills

  • Hadoop
  • Java
  • Python
  • Machine Learning
  • Data Analysis

Jobs Summary

Job Level
Associate / Supervisor
Job Category
IT and Software
Educational Requirement
Bachelor's degree graduate
Recruiter response to application
Often
Office Address
Plaza Oleos, South Jakarta, DKI Jakarta, Indonesia
Vacancy
1 opening
Website
http://career.homecredit.co.id

Feel secure when applying: look for the verified icon and always do your research on a company. Avoid and report situations when employers require payment or work without compensation as part of their application process.

About Home Credit Indonesia (Recruitment Page for TECHNOLOGY team)

Home Credit Indonesia is a multi finance company which provides financing through the stores of our retail partners to consumers who want to purchase consumer durables products. Home Credit financing solutions are Easy, Simple and Fast. Home Credit Indonesia was established in 2013. We are headquartered in Jakarta and growing our business to expand into all cities and territories in Indonesia. Today we have more than 11,600 employees and its keep growing. We are always on the look-out for talented, enthusiastic people who are driven by results and success and if you are one of these people we would love to hear from you. In return we can offer you a career with one of the largest global financing players and an active role in helping to shape the future of our business.

People also applied to

  1. Home