Data Scientist (Predictive Modeling Focus)

Location: Remote, United States
Job Type: Full-Time
Work Arrangement: Remote
Department: Data, Analytics & AI
Reports To: Head of Data Science

Role Overview

We are seeking a skilled Data Scientist to build predictive models that generate business insight, improve decision-making, and support forecasting, risk scoring, customer analysis, and operational optimization. This role is responsible for turning complex data into practical models and recommendations that help the business identify trends, reduce uncertainty, and make more informed strategic and operational decisions.

Key Responsibilities

• Build predictive and statistical models for forecasting, risk scoring, customer analysis, and other business use cases
• Analyze large datasets to identify trends, drivers, patterns, and improvement opportunities
• Design experiments and evaluate model performance, accuracy, and business relevance
• Collaborate with business teams to frame analytical problems and define practical model use cases
• Present findings, insights, and model results in a clear and actionable way for stakeholders
• Work with data engineers and MLOps teams to support model deployment and operational use

Required Qualifications

• Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• Strong experience with Python, SQL, and statistical modeling
• Experience in regression, classification, forecasting, and model evaluation
• Ability to communicate complex findings to non-technical stakeholders
• Strong analytical thinking and problem-solving capability

Preferred Qualifications

• Experience in finance, HR analytics, healthcare, or marketing analytics
• Familiarity with A/B testing, causal inference, and feature engineering
• Experience deploying models into production
• Understanding of business-driven model design and performance measurement
• Experience working with cross-functional data, product, or business teams

Core Skills

• Data science
• Predictive modeling
• Statistical analysis
• Forecasting
• Regression and classification
• Python
• SQL
• Model evaluation
• Experiment design
• Business insight generation