NLB Services

Data Science Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Specialist with 15+ years in Data Science, focusing on Telecommunications or Retail. It offers a hybrid contract in NYC/NJ, requiring expertise in GCP, NLP, and scalable Big Data solutions, with a pay rate of "unknown."
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 14, 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
New York City Metropolitan Area
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Spark (Apache Spark) #Cloud #Programming #Databases #Hadoop #Big Data #TensorFlow #Classification #Data Pipeline #Kubernetes #Python #SQL (Structured Query Language) #Data Engineering #Datasets #AWS (Amazon Web Services) #Data Science #Docker #ML (Machine Learning) #Azure #Scala #NLP (Natural Language Processing) #Pandas #NoSQL #NumPy #GCP (Google Cloud Platform) #"ETL (Extract #Transform #Load)" #PyTorch #Kafka (Apache Kafka)
Role description
Specialist Data Scientist (Big Data & AI) NYC/NJ (Hybrid – 3–4 Days Onsite) Must have • Telecommunications or Retail domain • Recommendation Systems, Next Best Action (NBA), and Classification Models • Google Cloud Platform (GCP) • NLP and Generative AI exposure Role Overview Seeking an experienced Data Scientist with expertise in Big Data, Machine Learning, and AI to develop scalable analytics solutions, build predictive models, and deliver data-driven insights. The ideal candidate will work with large datasets, modern cloud platforms, and cross-functional teams to solve complex business problems. Key Responsibilities • Design and deploy scalable Big Data and Machine Learning solutions. • Build predictive, recommendation, and classification models. • Process large datasets using Spark, Hadoop, Hive, and NoSQL technologies. • Develop and deploy ML models into production. • Perform statistical analysis, feature engineering, and predictive analytics. • Build and optimize ETL/data pipelines. • Collaborate with business and engineering teams to deliver AI-driven solutions. Required Skills • 15+ years of experience in Data Science, Machine Learning, or Big Data. • Strong Python programming with Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. • Experience with Spark, Hadoop, Hive, and NoSQL databases. • Strong SQL and data engineering skills. • Experience with AWS, Azure, or GCP (preferred). • Strong analytical and problem-solving abilities. • Telecom or Retail experience. • NLP, Generative AI, and LLM exposure. • Docker, Kubernetes, Kafka, or Flink.