Data Science Engineering

Overview

Remote
$70 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 10 Month(s)

Skills

Amazon Web Services
Analytical Skill
Analytics
Apache Spark
Artificial Intelligence
Cloud Computing
Extract
Transform
Load
Emerging Technologies
Databricks
PyTorch
Workflow
TensorFlow
SQL

Job Details

Key Responsibilities

  • Lead the end-to-end design, development, and deployment of scalable data science and machine learning solutions.

  • Architect and optimize robust data pipelines, ETL workflows, and feature stores for model training and inference.

  • Collaborate with cross-functional teams (data engineers, analysts, software developers, and business stakeholders) to define and implement data-driven strategies.

  • Develop, train, and validate advanced statistical and machine learning models for predictive and prescriptive analytics.

  • Ensure the reliability, security, and performance of data systems through best practices in data governance and engineering.

  • Drive automation, model monitoring, and continuous integration of ML models into production environments (MLOps).

  • Evaluate emerging technologies and frameworks to improve system efficiency and analytical capabilities.

  • Mentor and guide junior data scientists and engineers in best practices for modeling, data architecture, and experimentation.

  • Communicate complex analytical insights clearly to executive and non-technical stakeholders.

  • Contribute to long-term data and AI strategy, aligning with organizational goals and industry trends.

Qualifications

  • Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related field (Ph.D. preferred).

  • 10+ years of hands-on experience in data science, machine learning, and large-scale data systems.

  • Expertise in Python, SQL, and one or more ML frameworks (TensorFlow, PyTorch, Scikit-learn).

  • Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) and data tools (Spark, Databricks, Airflow, Kafka).

  • Proven ability to lead complex data initiatives and deliver measurable business impact.

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.

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