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Senior Data Scientist

hace 1 semana

Mendoza, Argentina Wakapi A tiempo completo

The Role:
We are seeking a highly motivated and experienced Senior Data Scientist to join our team.
As a Senior Data Scientist, you will play a key role in our organization's data-driven decision-making process by leading and executing complex data analysis projects.
You will be responsible for the entire data science lifecycle, from identifying and framing business problems to developing and deploying impactful solutions.
Responsibilities: Lead and execute complex data analysis projects, including problem definition, data acquisition, exploration, modeling, and evaluation.Design and build innovative machine learning models and algorithms to solve specific business problems.Develop and maintain robust and scalable data pipelines for data ingestion, cleaning, transformation, and preparation.Apply advanced statistical techniques and machine learning algorithms to analyze large and complex datasets.Interpret and communicate insights and findings to stakeholders in a clear, concise, and compelling manner.Collaborate effectively with cross-functional teams (e.g., engineering, product, marketing) to translate data insights into actionable strategies and business outcomes.Stay current with the latest advancements in data science, machine learning, and related technologies.Mentor and guide junior data scientists and analysts.Requirements: Bachelor or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.5+ years of experience as a Data Scientist or a related role.Proven track record of leading and executing successful data analysis projects.Strong expertise in machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning).Excellent knowledge of statistical methods and data analysis techniques.Experience with data wrangling, data cleaning, and data preparation techniques.Strong programming skills in Python, R, or other relevant languages.Excellent communication and presentation skills.Proven ability to work independently and as part of a team.Passion for data and its potential to solve complex problems.
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