Lead Data Scientist

Posted 2024-11-08

💎 Seniority level: Lead, 5+ years

📍 Location: LATAM

🔍 Industry: Data Science Consultancy

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: LeadershipPythonSQLData AnalysisGCPData analysisData scienceAnalytical SkillsProblem Solving

Bachelor’s degree in a related field or equivalent experience; advanced degree (MS) preferred.
5+ years professional experience in Data Science.
Demonstrated ability to lead and mentor data science teams.
Proficiency in SQL, Python, and Jupyter Notebooks.
Experience with Google Cloud Platform (GCP) or similar cloud platforms.
Expertise in causal inference, A/B testing, and classification modeling.
Strong data visualization and storytelling skills.
Strong problem-solving skills and ability to handle ambiguity.

Work with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
Lead customer behavior analysis focusing on identifying trends, customer segments, and sales channel performance.
Analyze large datasets using SQL and Python to ensure accurate insights.
Design and implement A/B testing, utilizing causal inference and classification modeling.
Communicate findings through visualizations and storytelling tailored to stakeholders.
Guide and mentor junior analysts.

Posted 2024-11-08

📍 LATAM

🔍 Data Science Consultancy

Bachelor’s degree in a related field or equivalent experience. Advanced degree (MS) in Statistics, Math, Data Analytics, or a related quantitative field preferred.
5+ years professional experience in Data Science.
Demonstrated ability leading and mentoring data science teams.
Proficiency in SQL, Python, and Jupyter Notebooks.
Experience working with Google Cloud Platform (GCP) or similar cloud platforms.
Expertise in causal inference, A/B testing, and classification modeling.
Strong data visualization and storytelling skills.
Strong problem-solving skills; ability to pivot complex data to answer business questions.
Ability to handle ambiguity and solve open-ended problems through data analysis.

Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
Lead customer behavior analysis to provide insights into key business challenges, with a focus on identifying trends, customer segments, and sales channel performance.
Work extensively with SQL and Python to analyze large datasets, ensuring accurate and actionable insights.
Collaborate with cross-functional teams to design and implement A/B testing and experimental designs, utilizing causal inference and classification modeling.
Communicate findings through compelling visualizations and storytelling, tailoring presentations to both technical and non-technical stakeholders.
Guide and mentor junior analysts, fostering their professional growth and contributing to team success.

LeadershipPythonSQLData AnalysisGCPData analysisData scienceAnalytical SkillsProblem Solving

Posted 2024-11-08

Posted 2024-11-07

📍 Latin America

🧭 Contractor

🔍 Software outsourcing

Demonstrated experience in AI/ML model development and deployment, especially on Azure/Microsoft platforms.
Proficiency in Python, R, SQL, and relevant ML technologies.
Experience with cloud-based AI tools, such as Azure Machine Learning, Cognitive Services, and Databricks.
Familiarity with data visualization tools such as Power BI or Tableau.
Previous experience in .Net Core, C#, SQL Server type of project is a plus.
AI-Azure services knowledge is a must.
Ability to work with clients and stakeholders, identify business needs, and translate them into effective technical solutions.
Self-starter, motivated, organized, and able to meet goals independently.
Personable and extroverted, comfortable in client-facing roles.
Strong analytical and problem-solving skills to tackle complex integration challenges.
Advanced English communication skills are a must.
Bachelor’s Degree in Data Science, Computer Science, Statistics, or a related field or equivalent work experience.

Lead the development and implementation of AI models, using Azure/Microsoft platforms.
Manage the complete project lifecycle, ensuring timely and high-quality delivery that aligns with client expectations.
Support pre-sales efforts by sharing insights, preparing proposals, and providing technical guidance.
Advise clients on AI strategies and best practices to maximize the impact of AI projects.

PythonSQLMachine LearningTableauAzureData science.NET.NET coreCommunication Skills

Posted 2024-11-07

🔧 Requirements