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Data Scientist Sr.2715

Xideral

Ciudad de México

Presencial

MXN 1,438,000 - 1,799,000

Jornada completa

Hace 8 días

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Descripción de la vacante

A leading data science organization is looking for a skilled Senior Data Scientist to work remotely from Mexico City or Querétaro. The ideal candidate should have over 8 years of experience, proficiency in Python and SQL, and experience with machine learning frameworks. Responsibilities include analyzing large datasets, developing models, and collaborating with business teams to derive insights. The role offers an attractive salary, performance bonuses, and extensive benefits including medical and life insurance.

Servicios

Attractive salary
Premium benefits
Performance bonuses
SGMM Medical insurance
Family insurance
Life insurance

Formación

  • Minimum of 8 years of experience as a Data Scientist or in a similar role.
  • Advanced level of English B2+.
  • Strong communication skills, empathy, commitment, and leadership abilities.

Responsabilidades

  • Analyze large volumes of structured and unstructured data.
  • Design and implement statistical models and machine learning algorithms.
  • Develop dashboards and data visualizations to communicate insights.

Conocimientos

Data analysis and modeling
Python
SQL
Machine learning frameworks
Data visualization (Tableau, Power BI)
Statistical analysis
Communication skills
Business acumen
Empathy
Leadership abilities

Educación

Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field

Herramientas

TensorFlow
scikit-learn
PyTorch
Descripción del empleo
Data Scientist Senior - Remote in Mexico City and Querétaro

We are looking for skilled Data Scientist senior with a minimum of 8 years of experience to join a dynamic team within a leading organization. This role involves data analysis and modeling. The ideal candidate will be responsible for transforming large volumes of structured and unstructured data into actionable insights that support business decision-making.

Key Responsibilities:
  • Analyze large volumes of structured and unstructured data.
  • Design, develop, and implement statistical models and machine learning algorithms to predict outcomes and solve complex business problems.
  • Collect, clean, and preprocess data from multiple sources.
  • Develop dashboards and data visualizations to effectively communicate findings and insights.
  • Collaborate closely with IT, marketing, and other business teams to understand requirements and deliver data-driven solutions.
  • Stay up to date with industry trends, tools, and technologies in data science to continuously improve processes and products.
Technical Skills Required:
  • Minimum of 8 years of experience as a Data Scientist or in a similar role.
  • Strong proficiency in Python, R, and SQL.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Solid knowledge of statistical analysis and applied statistics.
  • Hands‑on experience with machine learning frameworks such as TensorFlow, scikit‑learn, or PyTorch.
  • Experience handling large‑scale data and working with data warehousing solutions.
  • Strong business acumen with the ability to translate data insights into actionable business strategies.
  • Advanced level of English B2+
  • Strong communication skills, empathy, commitment, and leadership abilities.
Qualifications:
  • Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
  • Relevant certifications in data science or machine learning.
  • Previous experience in a similar role, preferably within the same industry.
Location & Schedule
  • Remote Role in CDMX and Querétaro
  • Work hours Monday to Friday, 09:00 – 18:00
  • Advanced English skills are mandatory
Benefits:
  • Attractive Salary + Premium Benefits
  • Performance bonuses, grocery coupons, and savings are found.
  • Aguinaldo, premium vacations, and vacations paid
  • SGMM Medical insurance, family, and Life insurance.

Candidates must include their compensation expectations in their applications and resumes in English.

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