Lead Data Scientist

ADP; Porto Alegre; On-site; BRL 223,200 - 334,800; Full time

Benefits offered by this job

Collaborative team culture

Hybrid work model

Commitment to community support

Job summary

Fairygodboss is seeking a Lead Data Scientist in Porto Alegre, Brazil. In this office-based role, you will analyze and synthesize large data sets, collaborating with a distributed team on advanced analytics and predictive modeling. You must possess a Bachelor’s degree in a relevant field and strong machine learning expertise.

The position engages you in an environment that encourages communication and innovative problem-solving, with a hybrid model allowing remote work up to two times per week.

Qualifications

• Bachelor's degree in a relevant field.
• Advanced English skills.
• Understanding of Software Development Life Cycle (SDLC).
• Experience with IDEs and version control tools.

Responsibilities

• Formulate analytical problems and develop visual representations.
• Identify and implement advanced analytical projects.
• Continuously discover new ways to leverage data.

Skills

Data structures

Algorithms

Machine learning

Statistical analysis

Advanced English

Education

Bachelor's degree in Computer Science, Statistics, Engineering or related field

Tools

Python

Git

GitHub

GitLab

Bitbucket

Job description

Overview

ADP is hiring a Lead Data Scientist. You'll work in a geographically distributed team developing processes and tools to analyze and proactively detect insights. You will code with machine learning tools like Python and AWS to synthesize millions of data sets into patterns that support and enhance the process.

What You’ll Do

• Advanced Analytics & Predictive Modeling: formulate analytical problems, extract and analyze data from multiple systems, summarize critical findings, and develop a compelling visual representation of analyses with actionable recommendations.
• Own and Manage Projects: identify, design, develop, and implement advanced analytical projects.
• Limitless Possibilities: continuously learn and discover new ways to leverage ADP data to create new products and services and uncover more insights.
• Collaboration and Communication: present your projects and findings to peers and leadership.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Engineering or a related field.
• Advanced English skills.
• Understanding of Software Development Life Cycle (SDLC).
• Experience with IDEs and version control tools (Git, GitHub, GitLab, Bitbucket).
• Strong knowledge of data structures, algorithms and data science methods.
• Experience with machine learning model development and deployment.

Bonus Points

• Formal education or previous experience with statistical analysis.
• Experience with time series analysis and forecasting.
• Experience with anomaly detection.
• Fluency in Python and its popular data science packages.
• Exposure to Jupyter notebook and/or Databricks platform.

Why You’ll Love Working Here

• Collaborative team culture that encourages tough conversations and ownership.
• Deliver at epic scale, focusing on client happiness and productivity.
• Surrounded by curious learners who grow and elevate each other.
• Mission‑driven, hands‑on environment that champions solving complex problems.
• Commitment to giving back to the community and supporting associates.
• Company committed to equality and equity.

Work Model

Office based/presential with the possibility of working from home up to two times per week. Availability to work in a hybrid work model is required.

Security and Background Check

Considering the confidential nature of the work, ADP reserves the right to conduct background checks as required by law.

Diversity, Equity, Inclusion & Equal Employment Opportunity

ADP is committed to an inclusive, diverse and equitable workplace and provides equal employment opportunities regardless of protected characteristics. Hiring decisions are based on qualifications, experience and job performance.

Ethics at ADP

ADP conducts business with the highest ethical standards and expects employees to uphold integrity and respect in the workplace.