Junior Data Scientist: Ai & Ml In Production Apps

Sggovterp; Indonesia; Hybrid; IDR 538,503,000 - 969,305,000; Full time

Job summary

WhatJobs Direct is seeking a Data Scientist for a hybrid role based in Denpasar, Bali, ID. You will extract insights from large datasets, build predictive models, and communicate results to both technical and non-technical stakeholders.

You will collaborate with multiple departments to translate business needs into data-driven solutions, maintain data pipelines, and stay updated on ML advancements in a dynamic work environment in Bali.

Qualifications

• Proven experience as a Data Scientist or in a similar analytics role.
• Strong statistical, ML, and data mining expertise.
• Proficiency in Python or R, and SQL.

Responsibilities

• Collect, clean, and transform large datasets from various sources.
• Apply statistical analysis and machine learning to identify trends and insights.
• Develop and implement predictive models for forecasting, classification, and clustering.
• Design and conduct A/B tests and other experiments to validate hypotheses.
• Create compelling data visualizations and reports for stakeholders.
• Collaborate with business stakeholders to translate needs into data science solutions.
• Stay current with advancements in data science, ML, and AI.
• Contribute to development and maintenance of data infrastructure and pipelines.
• Present findings and recommendations to technical and non-technical audiences.

Skills

Statistical analysis

Machine learning

Data mining

Python

R

SQL

Data visualization

Big data

Communication

Problem solving

Tools

Pandas

NumPy

Scikit-learn

Tableau

Matplotlib

Seaborn

SQL

Job description

Data Scientist

Our client, WhatJobs Direct, is looking for a highly analytical and skilled Data Scientist to join their growing team. This role is pivotal in extracting actionable insights from complex datasets, driving data-informed decision-making across the organization. You will be responsible for developing predictive models, performing statistical analysis, and creating data visualizations to communicate findings to both technical and non-technical stakeholders. The ideal candidate possesses a strong foundation in machine learning, statistical modeling, and data mining techniques, coupled with proficiency in programming languages such as Python or R. This **hybrid** role, based in the beautiful city of **Denpasar, Bali, ID**, offers a unique opportunity to work on challenging data problems while enjoying a balanced lifestyle. You will collaborate with various departments to identify key business challenges and leverage data to provide innovative solutions.

Key Responsibilities

• Collect, clean, and transform large, complex datasets from various sources.
• Apply statistical analysis and machine learning techniques to identify trends, patterns, and insights.
• Develop and implement predictive models for forecasting, classification, and clustering.
• Design and conduct A/B tests and other experiments to validate hypotheses.
• Create compelling data visualizations and reports to communicate findings effectively.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development and maintenance of data infrastructure and pipelines.
• Present findings and recommendations to technical and non-technical audiences.

Requirements

• Proven experience as a Data Scientist or in a similar analytical role.
• Strong proficiency in statistical analysis, machine learning algorithms, and data mining techniques.
• Expertise in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with SQL and working with relational databases.
• Familiarity with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving and critical thinking skills.
• Strong communication and presentation skills.