Data Mining Specialist

Redline Freight Services; Setúbal; On-site; EUR 16,000 - 18,000; Part time

Job summary

Redline Freight Services is seeking a Data Mining Specialist to extract insights from large data sets. You will apply statistical analysis, machine learning, and data visualization to inform business decisions and improve performance.

You will identify data sources, clean data, develop predictive models, and present findings to cross-functional teams. The role is on-site in Almada, Portugal, with a part-time schedule and a competitive salary.

Qualifications

• Bachelor's degree or higher in CS/Math/Stats or related field.
• Proven experience in data mining or related role.
• Proficiency in SQL, Python or R for querying databases and manipulating large datasets.
• Familiarity with statistical tools such as SAS, SPSS or Matlab.
• Strong analytical skills and ability to interpret complex datasets.
• Experience with ML algorithms (regression, classification, clustering).
• Excellent communication to present findings clearly.
• Ability to work independently and in a team.

Responsibilities

• Identify relevant data sources and gather necessary information.
• Clean and preprocess raw data to ensure accuracy and completeness.
• Apply data mining techniques to extract insights from datasets.
• Use statistical tools to analyze data and identify patterns and trends.
• Develop predictive models using machine learning algorithms.
• Present findings through visualizations, reports, or presentations.
• Collaborate with cross-functional teams to provide actionable recommendations.
• Stay updated with industry trends in data mining techniques.

Skills

SQL

Python

R

Machine Learning

Data Visualization

Communication

Team Collaboration

Education

Bachelor's degree in Computer Science, Mathematics, Statistics or related field

Tools

SAS

SPSS

Matlab

Job description

Data Mining Specialist As a Data Mining Specialist, you will be responsible for extracting valuable information and insights from large data sets. Your main focus will be on analyzing data to identify patterns, trends, and correlations that can inform business decisions. You will use various techniques such as statistical analysis, machine learning, and data visualization to process and interpret the data. Your work will directly impact our company's strategies and help improve our overall performance.

Responsibilities

• Identify relevant data sources and gather necessary information
• Clean and preprocess raw data to ensure accuracy and completeness
• Apply various data mining techniques to extract insights from complex datasets
• Use statistical tools to analyze the data and identify patterns and trends
• Develop predictive models using machine learning algorithms
• Present findings and insights through visualizations, reports, or presentations
• Collaborate with cross-functional teams to understand business needs and provide actionable recommendations based on data analysis
• Stay updated with industry trends and advancements in data mining techniques

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics or related field
• Proven experience in data mining or a related role
• Proficiency in SQL, Python or R for querying databases and manipulating large datasets
• Familiarity with statistical analysis tools such as SAS, SPSS or Matlab
• Strong analytical skills with the ability to interpret complex datasets
• Experience with machine learning algorithms such as regression, classification, clustering etc.
• Excellent communication skills to present findings in a clear and concise manner
• Ability to work independently as well as collaboratively in a team environment
• Attention to detail with a strong focus on accuracy

We offer competitive salary of $1500 per month for this part-time position located in Almada. This is a great opportunity for someone who is passionate about using data to drive business decisions. Please note that accommodation is not provided for this position.