Data Scientist

Role Overview

Gradera is an AI‑Native Services firm pioneering Software‑Orchestrated Services. We are seeking a highly analytical and curious Data Scientist to transform complex, real-world data into meaningful insights and scalable machine learning solutions. You will work across the full data lifecycle, bridging raw data and business impact by developing models, conducting experiments, and building robust analytical datasets.

Responsibilities

• Collect, clean, and analyze large structured and unstructured datasets from multiple sources
• Conduct thorough exploratory data analysis (EDA) to understand distributions and patterns
• Profile and audit datasets to assess data quality, completeness, and consistency
• Investigate and document data lineage and resolve data anomalies
• Apply statistical techniques such as hypothesis testing and variance analysis
• Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis
• Design, evaluate, and analyze A/B experiments using causal inference techniques
• Write clean, production-ready code in Python or R
• Collaborate with data engineers to build reliable data pipelines and feature stores
• Deploy and monitor ML models using MLOps best practices on cloud infrastructure
• Build dashboards and self-serve analytics tools

Requirements

• Strong ability to interrogate unfamiliar datasets and develop a working understanding of their structure
• Experience working with messy, incomplete, or poorly documented real-world data
• Proficiency in data profiling, descriptive statistics, and summary reporting
• Comfort working across structured, semi-structured, and unstructured data formats
• Solid foundation in probability, statistics, linear algebra, and experimental design

Skills

• Python
• SQL
• Databricks
• Azure
• MLOps

Nice to Have

• Experience with deep learning, NLP, computer vision, or Bayesian methods
• Familiarity with real-time or streaming data pipelines