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Data Scientist
90,000 - 130,000 USD
Komatsu
North 5th Avenue 400, Tucson
90,000 - 130,000 USD
Requirements
Must:
We are seeking candidates who meet the following educational and experience criteria:
- PhD in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field with 1+ years of experience,
- or M.Sc. in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field with 3+ years of experience,
- or B.Sc. in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field with 5+ years of experience.
In addition, the ideal candidate will possess:
- Proficiency in at least one major programming language (Python, Scala, Java, C#, C/C++, Kotlin).
- A deep understanding of data structures, algorithm design, and computational complexity.
- Familiarity with database theory and experience with at least one relational DBMS like SQL Server, PostgreSQL, or MySQL.
- Expertise in descriptive and inferential statistics, hypothesis testing, and statistical significance.
- Strong background in probability distributions, sampling techniques, and confidence intervals.
- Experience in statistical modeling, regression analysis, and variance analysis.
- Skills in exploratory data analysis (EDA) and data cleaning techniques.
- Knowledge in data manipulation including indexing, slicing, transposing, and reshaping data.
- Experience with various machine learning techniques including supervised, unsupervised, and reinforcement learning.
- Understanding of artificial neural networks, deep learning concepts, and AI-driven analytics.
- Familiarity with cloud-based analytics platforms, preferably Microsoft Azure Analytics.
Responsibilities
In this role, you will be instrumental in developing advanced predictive analytics tools that provide actionable insights using historical and real-time data. The key responsibilities include:
- Identifying areas where predictive models can be improved and proposing novel approaches to drive strategic improvements in analytics capabilities.
- Investigating complex problems using structured problem-solving techniques and developing data-driven solutions.
- Designing, developing, and validating machine learning and statistical models to optimize performance across mining operations.
- Collaborating cross-functionally to integrate predictive analytics into real-time applications and sharing best practices for model development and deployment.
- Writing scalable, high-quality code, implementing machine learning algorithms, and ensuring seamless integration into operational workflows.
- Effectively communicating findings, model performance, and recommendations to both technical and non-technical stakeholders.
- Staying updated with the latest advancements in Data Science, Artificial Intelligence, and Big Data technologies to drive innovation.
Description
At Komatsu, we view ourselves as more than just a company; we are a vibrant community of passionate, creative professionals committed to revolutionizing the mining industry. Our Applied Sciences Team focuses on designing and developing real-time optimization engines for both automated and manned systems, particularly in load and haul operations. We support numerous markets through our innovative products and advanced IoT technologies.
By joining us, you become part of a global brand that encourages creativity, fosters innovation, and motivates you to think big and share ideas. We are proud to be an Equal Opportunity Workplace and an Affirmative Action Employer, welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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