Apptad Inc.

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Raleigh, NC, with a contract-to-hire opportunity. It requires 5+ years of experience, strong skills in Python and PySpark, and expertise in ML deployment. Preferred experience in retail or manufacturing is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Deployment #Monitoring #PySpark #Data Science #Airflow #ML (Machine Learning) #Scala #Spark (Apache Spark) #GCP (Google Cloud Platform) #Time Series #Snowflake #Python #AWS (Amazon Web Services) #SageMaker #Databricks #PyTorch #Azure #TensorFlow
Role description
🚀 Hiring: Data Scientist | Raleigh, NC | C2H Opportunity We are looking for an experienced Data Scientist with strong expertise in Machine Learning Engineering and production-grade ML deployments. 📍 Location: Raleigh, NC (Locals) 💼 Role Type: C2H 🏢 Work Mode: Hybrid 🔹 Must-Have Skills: ✔ Python ✔ PySpark 🔹 Preferred Skills: ✔ AWS / GCP / ML Certifications ✔ XGBoost ✔ Time Series Modeling ✔ PyTorch / TensorFlow 🔹 Key Responsibilities: • Build and deploy scalable ML solutions • Design predictive & prescriptive models • Develop ML pipelines and automate workflows • Work with Databricks, SageMaker, Snowflake, Airflow, CI/CD • Productionize ML models and monitor performance • Collaborate with cross-functional business and engineering teams 🔹 Required Experience: ✔ 5+ years in Data Science / ML Engineering ✔ Strong experience in Python, PySpark, ML frameworks ✔ Hands-on experience with AWS/Azure/GCP ✔ Expertise in ML deployment, orchestration, and monitoring ⭐ Preferred Industry Experience: Retail / Manufacturing