Data Scientist / ML Engineer - Dayton, OH (Onsite)

  • Dayton, OH
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2

Skills

Apache Parquet
Big Data
Collaboration
Data Processing
EMC GreenPlum
HDFS
Julia
Machine Learning (ML)
Management
PostgreSQL
Python
SQL
Scripting
R
PB
Statistical Models
Workflow

Job Details

Job Title: Data Scientist / ML Engineer
Location: Dayton, OH (Onsite)

Overview:
We are seeking an experienced Data Scientist / Machine Learning Engineer to support mission-critical operations. The ideal candidate will have strong expertise in machine learning, big data engineering, and large-scale data processing with proven experience delivering production-ready solutions.

Key Responsibilities:

  • Design, train, and deploy machine learning models on large-scale datasets.

  • Engineer and optimize data pipelines (HDFS ingestion, parquet file management).

  • Develop and manage SQL queries in Greenplum and PostgreSQL.

  • Build and maintain external tables to support high-performance data processing.

  • Apply statistical modeling and ML techniques to real-world challenges.

  • Leverage GPML (Greenplum Machine Learning) for model development and deployment.

  • Automate workflows using Python, R, or Julia scripting.

  • Collaborate with data engineers, analysts, and stakeholders to deliver actionable solutions.

Required Qualifications:

  • Proven experience in machine learning model development and deployment.

  • Strong knowledge of big data engineering (HDFS, parquet file handling).

  • Advanced SQL expertise, particularly with Greenplum / PostgreSQL.

  • Experience working with large-scale datasets (1PB+ preferred).

  • Practical knowledge of GPML.

  • Proficiency in Python, R, or Julia for ML automation and workflow development.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.