DATA SCIENTIST SR

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world.
We have more than professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.
We are looking for a  Data Scientist Sr.
We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team.
The ideal candidate will lead core data-based projects to provide cutting-edge solutions to our business supply chain, support and mentor junior and experienced talent, and translate business needs into technical requirements or solutions.
If you are passionate about data science and have a proven track record of delivering impactful results,  we would love to hear from you.
Main responsibilities.
Project Leadership.
Lead and manage core data-based projects aimed at optimizing and innovating our business supply chain processes.
Mentorship.
Support and mentor junior and experienced data scientists, fostering a collaborative and growth-oriented environment.
Business Translation.
Understand business needs and translate them into technical requirements or solutions, ensuring alignment with organizational goals.
Data Analysis.
Perform data manipulation, cleaning, and wrangling to prepare datasets for analysis.
Machine Learning.
Develop, implement, and evaluate machine learning models to solve complex business problems.
Collaboration.
Work closely with cross-functional teams to integrate data-driven solutions into business operations.
Reporting.
Communicate findings and insights to stakeholders through reports, dashboards, and presentations.
Hybrid manner Monterrey, other locations remote (México) Requirements.
Educational Background.
Bachelor's degree in a scientific or engineering field is required.
A Master's or PhD is desirable.
Experience.
Minimum of 5+ years of work experience in data science.
Technical Skills.
Proficiency in Python for data analysis and machine learning.
Strong experience querying SQL and NoSQL databases.
Expertise in data manipulation, cleaning, and wrangling.
Solid background in probability and statistics.
Experience with machine learning models’ development and evaluation.
Experience deploying data-based products as a solution to business needs.
Familiarity with version control systems, particularly Git.
Relevant exposure to libraries such as Pandas, NumPy, SciPy, Scikit-Learn, FastAPI, Streamlit.
Familiarity with cloud services Azure/AWS/GCP.
Analytical Skills.
Strong problem-solving skills and the ability to think critically and analytically.
Communication.
Excellent verbal and written communication skills in english, with the ability to convey complex technical concepts to non-technical stakeholders.
Desirable.
Advanced Degrees.
A Master's or PhD in a relevant field is highly desirable.
Industry Experience.
Previous experience in supply chain analytics or a related field.
Tools & Technologies.
Familiarity with additional data science tools and technologies such as R, Hadoop, Spark, or cloud platforms (AWS, Azure, GCP).
Certifications.
Relevant certifications in data science, machine learning, or related areas.
Publications & Contributions.
Contributions to the data science community through publications, open-source projects, or conference presentations.
We offer.
100% Nominal Scheme Legal Benefits Benefits Package Wellness Program Professional development plan Multicultural collaboration Come and meet us on.
http://www.
eoris.
om, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.
Andrea Arantza Cervantes Romero #LI-AC1