Senior Data Scientist – AI/ML & Telematics

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist – AI/ML & Telematics in Plano, TX (Hybrid) with a contract length of "X months" and a pay rate of "$X/hour." Requires 5+ years in Data Science, 2–3 years in AI/ML, strong AWS skills, and experience with telematics datasets.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
568
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #NLP (Natural Language Processing) #R #A/B Testing #RNN (Recurrent Neural Networks) #Cloud #SageMaker #TensorFlow #Deep Learning #Big Data #Jupyter #Docker #Redshift #Python #ML (Machine Learning) #PyTorch #Snowflake #GIT #SQL (Structured Query Language) #Azure #AWS Glue #Data Science #Telematics #Datasets #NoSQL #AWS (Amazon Web Services) #BigQuery #GCP (Google Cloud Platform)
Role description
Job Title: Senior Data Scientist – AI/ML & Telematics Location: Plano, TX (Hybrid) About the Role: We’re looking for a Data Science pro to drive advanced AI/ML use cases—think customer retention, churn analysis, subscription analytics, and feature impact insights. You’ll work with large datasets, telematics info, and cutting-edge ML tools to optimize user experiences and business outcomes. Key Responsibilities: • Lead AI/ML and Data Science projects, leveraging data to make customer-centric business decisions. • Analyze large datasets, extract insights, and communicate results effectively. • Apply advanced ML techniques such as deep learning (ENN, CNN, RNN), GANs, NLP, and LLMs. • Work on ELT/ETL processes and transformations using tools like AWS Glue. • Conduct data segmentation, churn analysis, repeat purchase, market basket, and A/B testing. • Support ad-hoc data science projects and collaborate with cross-functional teams. Required Skills & Experience: • 5+ years in Data Science, 2–3 years in AI/ML. • Hands-on coding experience with Python, SQL (R is a plus). • Strong AWS experience (Azure/GCP not acceptable). • Familiarity with Cloud Llama, CI/CD pipelines, Git, Docker, and MLOps. • Experience with distributed datastores (SQL/NoSQL) and Big Data technologies (Redshift, Snowflake, Firebase, BigQuery). • Proven ability to analyze customer behavior, assess feature releases, and provide strategic insights. Nice to Have: • Experience with TensorFlow, PyTorch, Jupyter Notebooks, SageMaker. • Prior experience with telematics or automotive datasets. • Familiarity with model management frameworks and large language models like Claude, LLAMA, Haiku, Gemma. Soft Skills: • Strong analytical mindset and critical thinking. • Ability to communicate insights and walk stakeholders through use cases. • Strategic thinking for customer acquisition and retention. Interview Process: Two rounds of interviews will be conducted.