Data Scientist (Full Remote within Spain)

Posted 2 months agoViewed

View full description

💎 Seniority level: Demonstrated experience in Data Science environment.

📍 Location: Spain

🔍 Industry: Digital businesses

🏢 Company: leadtech

⏳ Experience: Demonstrated experience in Data Science environment.

🪄 Skills: SQLBusiness IntelligenceData AnalysisMachine LearningQlikViewAlgorithmsData scienceCommunication SkillsAnalytical SkillsCollaborationWritten communicationTeamworkData visualization

Requirements:

Bachelor's degree in a related field, such as Statistics, Mathematics, Engineering or a similar discipline.
Demonstrated experience in a 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.

Apply