Data Science Manager - Mining

Michael Page; Daerah Khusus Ibukota Jakarta; Remote; USD 60.000 - 120.000; Full time

Job summary

An established industry player is seeking a Data Science Manager to spearhead innovative data solutions in the mining sector. This role involves defining data strategies, building machine learning models, and optimizing data systems to drive business success. You will collaborate with global teams to translate complex data into actionable insights, ensuring high standards of data quality and compliance. This exciting opportunity allows for remote work with occasional travel, offering a chance to lead cutting-edge projects in a dynamic environment focused on digital transformation. If you're ready to make a significant impact in the mining industry, this is the perfect role for you!

Benefits

Remote work opportunity

Occasional travel to mining sites

Involvement in early-stage data solutions project

Qualifications

• Strong foundation in data modeling and database architecture.
• Deep expertise in statistical analysis and business intelligence techniques.

Responsibilities

• Define and lead data strategy execution aligned with business goals.
• Build and deploy machine learning models to tackle complex challenges.

Skills

Statistical Analysis

Data Mining

Machine Learning

Deep Learning

Pattern Recognition

Predictive Analytics

Critical Thinking

Problem Solving

Education

Bachelor's degree in Statistics

Master's or PhD in related field

Tools

TensorFlow

PyTorch

Scikit-learn

Python

R

Java

Hadoop

Spark

AWS

GCP

Azure

SQL

NoSQL

Job description

• Develop cutting-edge data solutions for mining business
• Work with global team across continents

About Our Client

Our client is a US-based consulting services focused in digital transformation within mining sector.

Job Description

The Data Science Manager will be responsible for:

• Define and lead the execution of data strategy in line with business goals.
• Design and optimize data models for both structured and unstructured datasets.
• Build, test, and deploy machine learning and deep learning models to address complex business challenges.
• Utilize data mining, statistical analysis, and mathematical modeling to extract insights and support strategic decisions.
• Develop sophisticated pattern recognition and forecasting models to anticipate trends and enhance operations.
• Stay at the forefront of statistical advancements and apply cutting-edge techniques to real-world problems.
• Establish robust standards for data quality, security, and compliance.
• Translate analytical results into actionable business insights, aligning with strategic objectives.
• Work closely with product, design, and engineering teams to turn business needs into data solutions.
• Lead agile initiatives to ensure iterative progress and timely delivery of high-impact solutions.
• Manage and mentor a remote, cross-functional team of data professionals, fostering growth and collaboration.

The Successful Applicant

A successful candidate will have:

• Strong foundation in data modeling, database architecture, and optimization.
• Deep expertise in statistical analysis, data mining, and business intelligence techniques.
• Skilled in building pattern recognition and predictive analytics systems.
• Proficient in ML/DL tools such as TensorFlow, PyTorch, or Scikit-learn.
• Programming expertise in Python, R, or Java.
• Hands-on experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).
• Solid understanding of both SQL and NoSQL databases.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or related field (Master's or PhD preferred).
• Strong analytical, critical thinking, and problem-solving skills.
• Ability to translate complex data into clear, actionable insights.

What's on Offer

Opportunity to work remotely with occasional travel to mining site facility.

Early stage data solutions project with involvement in machine learning/deep learning.