Data Scientist

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related field. Master's degree preferred

• Minimum of 1+years of experience in a data science domain or related role.

• Proficiency in Python for data manipulation, analysis, and model development.

• Data Science libraries (such as NumPy, Pandas, Scikit-Learn, TensorFlow, or PyTorch)

• Advanced SQL skills for data extraction, transformation, and analysis.

• Strong experience in Lifecycle of a Data Science Modelling project

• Strong knowledge and practical experience in Machine Learning techniques and frameworks such as such as regression, classification, clustering, and deep learning.

• Strong knowledge in Statistics, ML and LLM/Gen AI

• Proven track record of successfully managing client relationships and delivering value-added solutions

• Experience in building Reporting Dashboards in any of the BI Tools is good to have: Power BI, Tableau, Looker

• Familiarity with any could platform such as Azure, AWS, GPC

• Expert in Analytics solutions such as Marketing, Predictive Order, Segmentation, Promotion, Hyper-personalization, forecasting, Pricing Analytics development is a plus

• Experience in leading or collaborating with a team of data scientists and engineers in developing and delivering machine learning models that work in a production setting..

• Excellent Stakeholder communication and proactive problem-solving

• Utilize advanced Python programming skills to design, develop, and deploy machine learning models and algorithms for various business use cases.

• Develop Machine Learning techniques such as regression, classification, clustering, and deep learning

• Ensure the availability, quality, and security of data used for analysis and modeling

• Investigate and interpret data to identify actionable insights and opportunities for improvement

• Work with cross-functional teams to implement data-driven solutions and drive business growth

• Manage client relationships effectively, including conducting meetings, understanding client requirements, and delivering solutions that meet or exceed expectations.

• Lead efforts to expand business opportunities by identifying new avenues for data-driven insights and solutions.

• Research and devise innovative statistical models for data analysis

• Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)

• Take part in organizational development activities to take our organzation to the next level

Hibrido. 4x1 en Chile y 3x2 en México

2 DP Days libres por quarter

Seguro de salud complementario en Chile

almuerzo en oficina

5 días extra de vacaciones