Timely Find Looking for df at Ciudad de México, México Full Time

Position Overview

The role of a Data Scientist (DF) is instrumental in deriving significant insights from intricate data sets, thereby enhancing decision-making across the organization. In this capacity, the Data Scientist marries statistical analysis, predictive modeling, and machine learning methodologies to scrutinize data and decode findings into actionable strategies. By closely collaborating with diverse teams, the Data Scientist transforms data into impactful information that propels business success. Their skills in programming, data manipulation, and analytic methodologies equip organizations to use data more effectively, leading to improved operational efficiency and fostering innovation. Through designing experiments and formulating sophisticated algorithms, the Data Scientist plays a pivotal role in shaping business strategy and objectives, making this position essential in the rapidly evolving data-driven environment.

Primary Responsibilities

• Gathering and refining extensive volumes of structured and unstructured data.
• Creating predictive models and algorithms based on machine learning.
• Performing exploratory data analysis to discern trends and patterns.
• Translating organizational needs into analytics-focused solutions.
• Utilizing advanced data visualization tools to present data insights.
• Working collaboratively with cross-disciplinary teams to bolster data-driven decisions.
• Executing statistical analysis to assess product functionalities and business strategies.
• Designing and deploying data collection systems to enhance data integrity.
• Communicating findings and insights to stakeholders effectively.
• Researching and applying new data analysis instruments and technologies.
• Automating reports and dashboards for ongoing data observation.
• Continuously refining data processes and analytic practices.
• Overseeing database systems and ensuring effective data management.
• Formulating strategies to tackle data privacy and security challenges.
• Contributing to data science best practices and fostering knowledge-sharing within the institution.

Essential Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related domain.
• A minimum of 3 years’ experience in data analysis or equivalent analytical positions.
• Proficient in programming languages like Python or R.
• Experience with machine learning frameworks like Scikit-learn, TensorFlow, or others.
• Strong grasp of statistical methodologies and hypothesis evaluation.
• Skilled in SQL with experience in relational database management.
• Familiarity with data visualization platforms such as Tableau or Power BI.
• Exceptional analytical and problem-solving capabilities.
• Excellent verbal and written communication skills.
• Experience with big data technologies, including Hadoop or Spark, is advantageous.
• Proven record of successful projects showcasing data-driven decision-making.
• Able to thrive under pressure while managing multiple tasks concurrently.
• Meticulous attention to detail and a steadfast commitment to data precision.
• Familiarity with data privacy legislation and ethical issues.
• Enthusiasm for continuous learning and staying abreast of industry innovations.

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