Data Scientist

Summary

Join us at Leadtech, a digital business that's been redefining innovation since 2009. We're looking for a motivated Data Scientist to help us align our work with business goals and drive organizational success.

Requirements

• Bachelor's degree in a related field, such as Statistics, Mathematics, Engineering (Industrial Engineering, Telecommunications Engineering), or a similar discipline
• Demonstrated experience in Data Science environment
• Solid knowledge of data science/analysis tools, such as KNIME, SPSS, or similar tools
• Ability to develop, train, and optimize machine learning models
• Experience in predictive modeling, time series analysis, or cluster analysis
• Experience in calculating and applying algorithms to predict Customer Lifetime Value (CLTV)
• Ability to tackle complex problems, identify patterns, and design creative data-driven solutions
• Commitment to continuous learning and staying updated with the latest trends in technology and data science
• Experience with databases and query languages, such as SQL
• Ability to create effective visualizations using tools like Qlik Sense, QlikView or similar
• Strong communication skills and the ability to translate technical findings into clear business recommendations
• Teamwork and collaboration skills to work closely with other data professionals and cross-functional teams
• Proactive attitude and results-oriented

Responsibilities

• Conduct thorough data analysis to identify patterns, trends, and improvement opportunities within datasets
• Create effective reports and visualizations to communicate key findings to the company's teams and support data-informed decision-making
• Calculate and apply algorithms to predict Customer Lifetime Value (CLTV)
• Collaborate closely with business intelligence specialists, data scientists and other team members to develop predictive models and data-driven solutions
• Perform ad-hoc research to address specific business-related questions
• Continually maintain and enhance data quality, ensuring data integrity and accuracy
• Participate in the identification and collection of new data relevant to business objectives
• Contribute to the evaluation of new tools and technologies for data management and analysis

Benefits

• Growth and career development
• Work-Life balance
• Comprehensive benefits
• 25 days of vacation plus your birthday off, with flexible vacation options—no blackout days!
• Unique Perks