Data Science Engineer

DOKU, PT NUSA SATU INTI ARTHA; Jakarta Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A technology company in Jakarta Selatan is seeking a Data Science Engineer to apply data science and machine learning techniques to enhance business decision-making. The ideal candidate will have a Bachelor's degree and over 4 years of experience in data science. Responsibilities include model development, data analysis, and model deployment. Join a dynamic environment where problem-solving and collaboration are key.

Qualifications

• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications.
• Experience with data science platforms is a plus.

Responsibilities

• Develop models that align with business objectives and track progress.
• Analyze machine learning algorithms for problem-solving.
• Explore and visualize data to understand it.
• Ensure data quality through cleaning.
• Train models and tune their hyperparameters.
• Deploy models to production.

Skills

Problem-solving

Analytical skills

Effective communication

Team collaboration

Adaptability

Education

Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field

Tools

Python

R

SQL

TensorFlow

PyTorch

Scikit-learn

AWS Sagemaker

Google AI Platform

AWS

GCP

Job description

Job Title

Job Title: Data Science Engineer

About The Role

To apply data science techniques and machine learning algorithms to solve business problems, improve decision-making, and ensure the efficient deployment of models in production.

What Will You Do

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, andoror ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Defining validation strategies
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

What we are looking for

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.
• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications (e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist).
• Experience with specific data science platforms (e.g., AWS Sagemaker, Google AI Platform) is a plus.

Soft Skill Requirements

• Strong problem-solving and analytical skills.
• Effective communication skills for presenting findings to stakeholders.
• Ability to work collaboratively in a team environment.
• Adaptability and a proactive approach to problem-solving.

Technical Skill Requirements

• Proficiency in data science tools and languages (Python, R, SQL).
• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of data processing, feature engineering, and model validation techniques.
• Experience with cloud platforms (e.g., AWS, GCP) and deployment of models to production.