Data Scientist - ML, EDA & Data Pipelines

Gradera; United States; On-site; USD 100,000 - 145,000; Full time

Job summary

Gradera is seeking a highly analytical Data Scientist to transform complex real-world data into meaningful insights and scalable ML solutions. You will work across the full data lifecycle, partnering with data engineering and business teams to explore, clean, and understand diverse datasets, and translate those insights into models and data-driven recommendations.

You will play a critical role in bridging raw data and business impact, developing robust analytical datasets, building models, and

Qualifications

• Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks.
• Experience working with messy, incomplete, or poorly documented real-world data.
• Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset.
• Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding.
• Comfort working across structured, semi-structured, and unstructured data formats.

Responsibilities

• Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources
• Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns
• Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling
• Investigate and document data lineage - understanding where data originates, how it flows, and how it transforms across systems
• Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams
• Develop a deep understanding of the business domain and the underlying data that represents it
• Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting
• Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise
• Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis
• Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques
• Develop data-driven recommendations backed by rigorous statistical reasoning
• 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 to support stakeholder decision-making

Skills

Python

SQL

Data Cleaning

EDA

Machine Learning

Data Visualization

Tools

Databricks

Azure

Snowflake

Redshift

MLflow

Kubeflow

Airflow

Kafka

Spark

Job description

Gradera is seeking a highly analytical Data Scientist to transform complex real-world data into meaningful insights and scalable ML solutions. You will work across the full data lifecycle, partnering with data engineering and business teams to explore, clean, and understand diverse datasets, and translate those insights into models and data-driven recommendations.

You will play a critical role in bridging raw data and business impact, developing robust analytical datasets, building models, and