Wave Hire Looking for df at Ciudad de México, México Full Time

Overview

The Data Scientist (DF) plays a crucial role in extracting meaningful insights from complex data sets to support the decision-making processes within an organization. This position combines statistical analysis, predictive modeling, and machine learning techniques to analyze data and interpret the results for actionable strategies. The Data Scientist works closely with various teams, turning data into information that drives business outcomes. Their expertise in programming, data manipulation, and analytical techniques enables organizations to leverage data effectively, ultimately enhancing operational efficiency and driving innovation. By designing experiments and creating advanced algorithms, the Data Scientist significantly influences overall business strategy and direction. Thus, this role is vital to maintaining a competitive edge in the fast-paced data-driven landscape.

Key Responsibilities

• Collecting and cleaning large amounts of structured and unstructured data.
• Developing predictive models and machine-learning algorithms.
• Conducting exploratory data analysis to identify trends and patterns.
• Translating business requirements into analytics solutions.
• Visualizing data insights using in-depth data visualization tools.
• Collaborating with cross-functional teams to enhance data-driven decision-making.
• Performing statistical analysis to validate product features and business strategies.
• Designing and implementing data collection systems to optimize data quality.
• Presenting findings and insights to stakeholders in a comprehensive manner.
• Researching and integrating new data analysis tools and technologies.
• Creating automated reports and dashboards for regular data monitoring.
• Continuously improving data processes and analytics methodologies.
• Maintaining database systems and overseeing data management.
• Developing strategies to address data privacy and security issues.
• Contributing to data science best practices and knowledge-sharing within the organization.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
• 3+ years of experience in data analysis or relevant analytical roles.
• Strong proficiency in programming languages such as Python or R.
• Experience with machine learning libraries like Scikit-learn, TensorFlow, or similar.
• Knowledge of statistical methodologies and hypothesis testing.
• Proficiency in SQL and experience with relational databases.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication abilities, both written and verbal.
• Experience with big data technologies such as Hadoop or Spark is a plus.
• A track record of successful projects demonstrating data-driven decision making.
• Ability to work under tight deadlines and manage multiple projects simultaneously.
• Detail-oriented with a strong commitment to data accuracy.
• Understanding of data privacy regulations and ethical considerations.
• Passion for learning and staying updated on industry trends and advancements.

Skills: predictive modeling,big data technologies,database management,hadoop,problem solving,sql,python,data visualization,data cleaning,r,spark,statistical modeling,data privacy,statistical analysis,data analysis,data manipulation,communication skills,machine learning,critical thinking