Data Mining Engineer

HELLRAISERS,LLCTX, United States

30+ days ago

Job description

Job Title : Data Mining Engineer

Company : HELLRAISERS, LLC

Location : Remote

About HELLRAISERS, LLC :

HELLRAISERS, LLC is at the forefront of delivering cutting-edge data solutions and insights to clients across various industries. Our team specializes in leveraging big data to extract meaningful information that drives business growth, innovation, and competitive advantage. We are dedicated to solving complex data challenges and enhancing decision-making processes through advanced analytics.

Job Description :

We are seeking a Data Mining Engineer with a strong analytical background and expertise in extracting, transforming, and analyzing large datasets. As a Data Mining Engineer at HELLRAISERS, LLC, you will focus on developing and optimizing data mining models and algorithms to uncover actionable insights, supporting data-driven strategies across our client projects.

Responsibilities :

Design, implement, and optimize data mining algorithms to extract insights from large datasets.
Collaborate with data scientists and engineers to develop scalable data mining processes.
Use machine learning, statistical methods, and data modeling techniques to identify patterns and trends.
Conduct exploratory data analysis (EDA) and assist in feature selection for machine learning models.
Clean, preprocess, and structure data from various sources to support analysis and model-building.
Develop scripts and automation workflows to enhance data mining efficiency.
Prepare and present technical documentation, reports, and visualization dashboards.

Qualifications :

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Proven experience in data mining, data engineering, or data science roles.

Proficiency in programming languages like Python, R, or SQL for data analysis and model implementation.

Experience with data mining tools and libraries (e.g., Scikit-Learn, TensorFlow, Weka).

Strong understanding of machine learning, clustering, classification, and association algorithms.

Ability to work with big data technologies (e.g., Hadoop, Spark) is a plus.

Excellent analytical and problem-solving skills.

Preferred Skills :

Knowledge of data visualization tools (e.g., Tableau, Power BI) to communicate findings.

Strong communication skills to work effectively in a remote, team-oriented environment.

Familiarity with cloud platforms (AWS, Google Cloud, Azure) for data processing and storage.

Benefits :

Competitive salary with performance-based incentives.

Flexible work-from-home arrangement.

Opportunities for professional growth and continuous learning.

Health, dental, and retirement benefits.