Mexico
Corning
Minsait Business Consulting
Data Science
Mexico
Ciudad de México, Mexico
PythonSQLAWSGCP
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About the opportunity
More digital. More human. More Minsait.
MBC, The Place To Be
Why you'll love being part of MBC?
- Camaraderie, work in an environment where it's clear that the goal is for the team and that you'll have the support of your entire group to achieve it, we don't leave anyone behind!.
- Flat organizational chart: Do we have bosses? Of course, but they are approachable people open to ideas that anyone on the team might propose.
- Innovation: You'll work on projects with an impact on our clients.
- You'll be heard: Propose ideas that help us improve in projects and as a firm; voice your concerns.
- Professional career: You'll have semi-annual evaluations and promotions, we adapt to your needs and motivations.
- If you want to leave your mark on the world, don't hesitate to participate in our volunteer program.
At Minsait Business Consulting, An Indra Company, we focus the value of traditional business consulting towards digital disruption, leading each project from its conception to implementation.
We drive leading international companies to create value and maintain their competitive advantages through:
- Strategy from a practical approach
- Goals aligned with strategy execution
- Fast and tangible results
What will make you succeed in this position?
- At least 2 years of experience as a Data Scientist
- Python, pandas, NumPy, scikit-learn, matplotlib/seaborn
- Supervised and unsupervised machine learning models (regression, classification, clustering, etc.).
- SQL for queries and data extraction.
- Jupyter Notebooks for analysis and presentation of results.
- Experience with big data environments (Spark/PySpark) and cloud (AWS: Athena, Sagemaker, EMR, S3). Desirable
AVAILABILITY TO WORK IN A FLEXIBLE SCHEDULE.
- Data architecture desirable
- Project automation desirable
- GCP desirable
Our commitment is to promote work environments where people are treated with respect and dignity, seeking the professional development of the staff and guaranteeing equal opportunities in their selection, training and promotion, offering a work environment free of any discrimination based on gender, age, disability, sexual orientation, gender identity or expression, religion, ethnicity, marital status, or any other personal or social circumstance.
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