Data Scientist - Alternative Finance

Equifax; Alpharetta (GA); In loco; USD 85.000 - 120.000; Tempo pieno

Descrizione del lavoro

Tech Ladies, Inc. is seeking a Data Scientist to partner with senior teammates and transform complex data into actionable insights and predictive models.

You will gain hands-on experience across the end-to-end data science lifecycle, from dataset curation to model deployment audits and performance monitoring. The role calls for a proactive, analytical thinker with a strong focus on data quality and continuous learning.

Competenze

• Master's degree or higher in STEM or equivalent practical experience.
• 0–2 years of analytical or data science experience, including predictive modeling.
• Strong analytical skills; proficiency in Python or R and SQL; understanding of ML algorithms and data manipulation.

Mansioni

• Apply hypothesis-driven methods to dissect analytics problems and extract insights.
• Develop, evaluate, and fine-tune predictive models and decision frameworks.
• Audit data quality, participate in code reviews, and monitor model performance.
• Collaborate with cross-functional teams and communicate findings to technical and non-technical audiences.

Conoscenze

Python

R

SQL

ML algorithms

Formazione

Master's degree in STEM or equivalent

Strumenti

Git

AWS

GCP

Azure

Descrizione del lavoro

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

As a Data Scientist, you will partner with senior team members to transform complex raw data into actionable business insights and predictive models. This role offers hands‑on experience across the end-to-end data science lifecycle, including dataset curation, decision strategy development, model deployment audits, and performance monitoring across diverse domains. We are seeking a proactive analytical thinker with a passion for structured problem‑solving, high standards for data quality, and a commitment to continuous learning.

What You Will Do

• Problem Solving & Analysis: Apply hypothesis‑driven methodologies to dissect complex analytical challenges, synthesize structured and unstructured datasets, and extract actionable insights.
• Model Development: Training, evaluating, and fine‑tuning predictive models and decision frameworks (e.g., logistic regression, ensemble tree models, neural networks) to address strategic business needs.
• Quality & Attention to Detail: Rigorously audit data inputs, participate in peer code reviews, and conduct comprehensive model evaluations and performance monitoring.
• Collaboration & Communication: Collaborate within cross‑functional teams, maintain clear documentation of analytical tasks, and effectively communicate key findings to technical and non‑technical audiences.

What Experience You Need

• Education: Master's degree or higher in a STEM field (Data Science, Computer Science, Statistics, Mathematics, Engineering) or equivalent practical experience.
• Experience: 0-2 years of experience in an analytical or data science role, including academic or project‑based experience developing predictive models.
• Core Skills: Strong analytical and quantitative skills; proficiency in statistical programming (Python or R) and SQL; solid understanding of key machine learning algorithms, data manipulation, and modern software engineering practices (e.g., Git/version control).

What Could Set You Apart

• Master's degree or higher in a quantitative discipline.
• Experience developing AI skills or using AI agents and tools to code and build applications or gems.
• Experience with cloud platforms (AWS, GCP, or Azure) or cloud analytics tools.
• Practical project portfolio demonstrating end-to-end model development and rigorous data validation.