Data Scientist - Bilingual
Analyze raw data: assess data quality, perform data cleansing, and structure data for downstream processing.
• Design accurate, scalable, and production-ready prediction algorithms.
• Develop and implement generative AI models and large language models (LLMs) to solve complex business problems.
• Generate actionable insights to drive business improvements and optimize decision-making processes.
• Present data findings effectively using advanced data visualization techniques and tools.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
Qualifications:
• Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, or related) or equivalent experience.
• 3+ years of experience in data analytics, statistical data modeling, or data science.
• Proficiency in developing predictive models, including machine learning algorithms, classification techniques, and generative AI models.
• Strong knowledge of Python and its data science libraries (e.g., pandas, numpy, scikit-learn) and generative AI libraries (e.g., Hugging Face Transformers, GPT-3, PyTorch, TensorFlow).
• Familiarity with large language models (LLMs) and their applications.
• Competency in SQL for data querying and manipulation; familiarity with Scala is a plus.
• Strong analytical thinking and problem-solving skills.
• Experience using business intelligence tools (e.g., Tableau, Power BI, or Looker) for data visualization and reporting.
• Ability to work effectively in a fast-paced, collaborative environment.
• Design accurate, scalable, and production-ready prediction algorithms.
• Develop and implement generative AI models and large language models (LLMs) to solve complex business problems.
• Generate actionable insights to drive business improvements and optimize decision-making processes.
• Present data findings effectively using advanced data visualization techniques and tools.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
Qualifications:
• Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, or related) or equivalent experience.
• 3+ years of experience in data analytics, statistical data modeling, or data science.
• Proficiency in developing predictive models, including machine learning algorithms, classification techniques, and generative AI models.
• Strong knowledge of Python and its data science libraries (e.g., pandas, numpy, scikit-learn) and generative AI libraries (e.g., Hugging Face Transformers, GPT-3, PyTorch, TensorFlow).
• Familiarity with large language models (LLMs) and their applications.
• Competency in SQL for data querying and manipulation; familiarity with Scala is a plus.
• Strong analytical thinking and problem-solving skills.
• Experience using business intelligence tools (e.g., Tableau, Power BI, or Looker) for data visualization and reporting.
• Ability to work effectively in a fast-paced, collaborative environment.
#LI-Onsite
Requisitos
Estudios
Universidad / Carrera Profesional
Idiomas
Inglés - Avanzado
Habilidades
SQL
POWER BI
PYTHON
pandas
numpy
scikit-learn
Sobre SQDM s.a.s.
SQDM ofrece servicios de consultoría en mejora continua de Procesos de Negocio, BPM. Implementación de soluciones de integración de aplicaciones basadas en arquitecturas flexibles y en la implementación de soluciones de Gestión del relacionamiento con los clientes, CRM.
