Data Scientist – Customer & Agent Solutions

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create and implement predictive and prescriptive analytics models to enhance customer and agent-related business strategies.

• Utilize machine learning, statistical analysis, and data mining methods to address intricate business challenges.

• Examine extensive datasets to identify trends, opportunities, and actionable insights.

• Design, construct, and sustain scalable, production-ready analytical solutions.

• Collaborate with business stakeholders to convert business goals into analytical methodologies and success metrics.

• Work alongside Data Engineering, IT, and Analytics teams for model deployment and optimization.

• Adhere to ML Ops best practices, version control, and standards for code documentation.

• Deliver findings and recommendations to both technical and non-technical audiences.

• Assist in customer retention, service delivery, operational performance, lead optimization, and agent effectiveness initiatives.

• Guide junior team members and contribute to the establishment of analytics best practices.

⛳️ Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a similar quantitative field.

• Over 3 years of experience in Data Science, Advanced Analytics, Machine Learning, or a closely related area.

• Proficiency in Python (4-6 years preferred).

• Advanced SQL experience (7+ years preferred).

• Familiarity with GitHub (1-3 years preferred).

• Experience with Microsoft Office Suite (7+ years preferred).

• Exposure to Databricks (1-3 years preferred).

• Intermediate level experience in Machine Learning.

• Intermediate level experience in Statistical Analysis, Hypothesis Testing, and Descriptive Statistics.

• Proven ability to develop and convert analytical solutions into tangible business outcomes.

• Proficient in English communication skills.

• Valid local legal authorization to work in the country where the role is located at the time of hire.

• Preferred: Master's degree in Data Science, Statistics, Mathematics, Analytics, or a relevant field.

• Preferred: Experience in P&C Insurance, Banking, Financial Services, or other highly regulated sectors.

• Preferred: Background in customer service operations or call center environments.

• Preferred: Experience with call routing optimization, workforce optimization, or analytics in contact centers.

• Preferred: Familiarity with Databricks and contemporary cloud-based analytics platforms.

• Preferred: Knowledge of ML Ops, GitHub, and managing the model deployment lifecycle.

• Preferred: Experience in developing classification and other supervised learning models.

🏝️ Benefits

• Competitive salary and performance-based bonuses

• Comprehensive benefits package: Grocery vouchers, saving funds, SGMM, etc.

• Career development and training opportunities

• Dynamic and inclusive work culture within a globally renowned group

• Private Health Insurance

• Pension Plan

• Paid Time Off

• Training & Development