EPITEC
Data Science and Machine Learning Senior Associate
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science and Machine Learning Senior Associate with a 1-year contract in Dearborn, MI. Requires a PhD or master's, 3+ years in ML models, and 2+ years with GCP and Airflow. Pay rate is "unknown".
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
504
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🗓️ - Date
October 1, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dearborn, MI
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🧠 - Skills detailed
#Airflow #Data Manipulation #SQL (Structured Query Language) #Computer Science #Statistics #Python #Data Science #Classification #Cloud #Anomaly Detection #Forecasting #Deep Learning #PyTorch #Datasets #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Data Pipeline #Terraform #Deployment #GCP (Google Cloud Platform) #Data Ingestion #AI (Artificial Intelligence) #Data Analysis #TensorFlow #NLP (Natural Language Processing)
Role description
Join a leading Global Data Insight & Analytics team focused on shaping the future of smart mobility and electric vehicle charging. This team develops innovative, cloud-native data, AI, and analytics solutions, providing strategic and engineering support to internal and external partners. As a Data Scientist, you’ll play a key role in driving evidence-based decision-making and improving the EV customer charging experience.
Responsibilities:
• Translate complex business problems into actionable data solutions
• Design, develop, and implement end-to-end AI/ML pipelines (data ingestion, preprocessing, model training, evaluation, deployment)
• Ingest, transform, and analyze large datasets using Google Cloud Platform (GCP)
• Build and deliver advanced analytics models (classification, anomaly detection, optimization, LLM, etc.)
• Write clean, efficient Python code for data manipulation, feature engineering, and model development
• Collaborate across teams to identify new data sources and drive business results
• Present analytical findings in both written reports and oral presentations
Requirements:
• PhD or master's in data science, Computer Science, Business Analytics, Machine Learning, Statistics, or related quantitative field
• 3+ years of experience developing and deploying machine learning models in production
• 2+ years of experience with Google Cloud Platform at production scale
• 2+ years of experience with Airflow for data pipeline orchestration
• Expert-level SQL skills
• Strong understanding of machine learning algorithms, statistical modeling, and data analysis
• Excellent communication skills
• Comfortable working in a fast-paced, innovative environment
Preferred Skills:
• Experience with Terraform, electrification/transportation domain, forecasting, anomaly detection, optimization models, Generative AI, NLP, deep learning frameworks (TensorFlow, PyTorch), recommendation systems
• Record of publications or presentations in recognized journals or conferences
• Inquisitive, proactive, and eager to learn new tools and techniques
Location: Dearborn, MI (Hybrid, 4 days onsite) Shift: Morning, overtime required Duration: 1 year contract
Join a leading Global Data Insight & Analytics team focused on shaping the future of smart mobility and electric vehicle charging. This team develops innovative, cloud-native data, AI, and analytics solutions, providing strategic and engineering support to internal and external partners. As a Data Scientist, you’ll play a key role in driving evidence-based decision-making and improving the EV customer charging experience.
Responsibilities:
• Translate complex business problems into actionable data solutions
• Design, develop, and implement end-to-end AI/ML pipelines (data ingestion, preprocessing, model training, evaluation, deployment)
• Ingest, transform, and analyze large datasets using Google Cloud Platform (GCP)
• Build and deliver advanced analytics models (classification, anomaly detection, optimization, LLM, etc.)
• Write clean, efficient Python code for data manipulation, feature engineering, and model development
• Collaborate across teams to identify new data sources and drive business results
• Present analytical findings in both written reports and oral presentations
Requirements:
• PhD or master's in data science, Computer Science, Business Analytics, Machine Learning, Statistics, or related quantitative field
• 3+ years of experience developing and deploying machine learning models in production
• 2+ years of experience with Google Cloud Platform at production scale
• 2+ years of experience with Airflow for data pipeline orchestration
• Expert-level SQL skills
• Strong understanding of machine learning algorithms, statistical modeling, and data analysis
• Excellent communication skills
• Comfortable working in a fast-paced, innovative environment
Preferred Skills:
• Experience with Terraform, electrification/transportation domain, forecasting, anomaly detection, optimization models, Generative AI, NLP, deep learning frameworks (TensorFlow, PyTorch), recommendation systems
• Record of publications or presentations in recognized journals or conferences
• Inquisitive, proactive, and eager to learn new tools and techniques
Location: Dearborn, MI (Hybrid, 4 days onsite) Shift: Morning, overtime required Duration: 1 year contract
