Data Scientist

In the story of Snappfood, we believe in creating value that goes beyond the ordinary. We are willing to establish innovative tendencies and are eager to have you on our team to help us get through our business challenges with creativity, intelligence, and agility.
We are waiting for you to continue this story.

Responsibilities:

• Analyze large and complex datasets to extract meaningful insights and trends.
• Develop and implement machine learning models and algorithms for predictive and prescriptive analytics.
• Design and execute experiments to test hypotheses and improve models.
• Collaborate with cross-functional teams to identify business problems and provide data-driven solutions.
• Develop data-driven strategies and recommendations to optimize business processes and decision-making.
• Upload and deliver final design assets through internal platforms and back-office systems.
• Communicate findings and insights to non-technical stakeholders through visualizations, reports, and presentations.
• Stay updated with the latest advancements in data science techniques, tools, and technologies.
• Ensure data integrity, quality, and security throughout the data lifecycle.
• Collaborate with data engineers and IT teams to ensure efficient data collection, storage, and processing.
• Mentor and provide guidance to junior data scientists or analysts.

Requirements:

• Strong understanding of statistical analysis, machine learning algorithms, and their applications.
• Demonstrated experience in handling and analyzing large datasets using statistical and machine learning techniques.
• Ability to preprocess and clean raw data for analysis, handling missing values, outliers, and feature engineering.
• Proficiency in data manipulation, transformation, and analysis using Python, R, or similar tools.

Benefits:

• Credit for: Vacations, Gym, Therapy
• Social Security & Complementary Insurance
• Educational platform of advanced courses
• Snappfood's Discount codes