Middle Data Scientist, Food Industry - Monterrey, México - DataArt

DataArt

Empresa verificada

Monterrey, México

hace 3 semanas

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

Client:

Our client is the parent company that oversees a conglomerate of major companies operating in the retail and food industries across Latin America.

Position overview:

The data scientist utilizes extensive expertise in machine learning, artificial intelligence, data mining, and data collection to craft, prototype, and construct advanced analysis models and services.

Collaborating with stakeholders, the data scientist assists in delineating technical problem statements and hypotheses for testing.

Technology stack: Working with large datasets (big data)
Familiarity with Map/Reduce, Hadoop, Hive, Spark, etc.
Responsibilities: Design, create, test, and implement complex models and algorithms that drive analytical solutions across the organization
Conduct advanced statistical analyses to provide actionable insights, identify trends, and measure performance
Collaborate with stakeholders and understand business issues to implement scalable and sustainable solutions
Coordinate with the information technology department, digital technology specialists, and data engineers to provide comprehensive analytical solutions
Support stakeholders in communicating the design, functionality, and results of developed analytical models/solutions
Ensure timely analysis and testing for regular maintenance of solutions over time
Manage various priorities effectively
Provide realistic estimates for tasks
Report into various program workstreams on progress and issues
Develop automated checks for data analysis tasks, ensuring repeatability and efficiency
Use Git as a code management tool to version control and collaborate on the codebase
Present detailed findings to nontechnical senior stakeholders in a clear and understandable manner
Requirements: Bachelor's or Master's degree in Computer Science, Information Management, or a related field Proven experience in data architecture, data governance, and data management
23 years of experience in a role related to statistics, data science, or business intelligence
Must have experience in machine learning, statistics, optimization, or related fields; deep experience in working with large datasets (big data), simulation/optimization, or distributed computing tools is beneficial
Programming experience is required; specific experience in R or Python is an advantage
Strong analytical and problemsolving skills.
Expert knowledge of data governance frameworks, data quality standards, and data privacy regulations
Proficiency in data modeling, metadata management, and data lineage tools
Strong analytical and problemsolving skills
Excellent communication and leadership abilities

Nice to have:
Experience working with large datasets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.)