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Data Scientist

Hybrid in Pittsburgh, PA, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Amazon Web Services
Amazon SageMaker
Artificial Intelligence
Dash Python
D3.js
Machine Learning (ML)
Natural Language Processing
Microsoft Azure
PyTorch
PySpark
Python
Regression Analysis
SQL
Deep Learning
Analytical Skill
GitHub
Flask
Lifecycle Management
XGBoost

Summary

Job Title: Data Scientist/Machine Learning Engineer (Python, NLP, AWS)

Location: Pittsburgh, PA (Hybrid)

Duration: Full time

Overview / Summary
We are seeking a Machine Learning Engineer with strong expertise in Python, statistics, and machine learning lifecycle management. The role involves designing, developing, and deploying ML and deep learning models to solve business problems, while collaborating with cross-functional teams to deliver impactful solutions.

Key Responsibilities

Comprehend business issues and propose valuable solutions
Design factual, AI, and deep learning models to address business challenges
Develop, train, and deploy statistical, machine learning, and deep learning models for production
Identify available data sources and determine how to augment data effectively
Develop innovative data visualizations using tools like d3.js and Dash/Plotly
Map business needs to processes and conceptualize end-to-end solutions
Collaborate with team members in an agile project delivery environment

Required Qualifications

Strong proficiency in Python programming and ML lifecycle
Practical experience in statistics and operations research methods
Hands-on experience with frameworks/tools such as Flask, PySpark, PyTorch, and Streamlit
Experience with AWS AI/ML services such as SageMaker, Canvas, and Bedrock
Understanding of predictive modeling techniques including regression, XGBoost, random forest, GBM, neural networks, and SVM
Proficiency in NLP techniques including RNN, LSTM, and attention-based models
Experience working with NLP models from Stanford, IBM, Azure, or OpenAI
Strong SQL skills for writing efficient data queries
Experience with version control tools such as GitHub or Bitbucket
Hands-on experience in model training and deployment
Experience working in agile environments
Strong analytical, problem-solving, and communication skills
Ability to understand, articulate, and visualize business requirements
Strong interpersonal skills and ability to work collaboratively in a team

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.

Dice Id: 10354711
Position Id: 8953036
Posted 2 hours ago

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