E-Solutions

Senior Data Scientist (Local to NJ & NY)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist located in Holtsville, NY (Hybrid) with a contract length of unspecified duration. The pay rate is unspecified. Candidates should have 5+ years of experience in machine learning, deep learning, and programming, along with strong proficiency in Python, SQL, and data visualization tools like Power BI. A Bachelor's or advanced degree in a relevant field is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 14, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Holtsville, NY
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🧠 - Skills detailed
#BigQuery #Data Science #AI (Artificial Intelligence) #Cloud #Data Pipeline #BI (Business Intelligence) #Azure #Microsoft Power BI #Data Extraction #Programming #Visualization #Deep Learning #Model Evaluation #Libraries #Python #"ETL (Extract #Transform #Load)" #Statistics #SQL (Structured Query Language) #NumPy #Computer Science #ML (Machine Learning) #MLflow #AWS (Amazon Web Services) #Databricks #Datasets #Documentation #Pandas #PyTorch #TensorFlow
Role description
Role : Senior Data Scientist Location : Holtsville NY (Hybrid) Job Description: β€’ Design, build, and validate robust predictive models and machine learning solutions to address specific business problems. β€’ Process, cleanse, and transform large, complex datasets from various sources to create high-quality features for modeling. β€’ Create comprehensive documentation for all models, code, and data pipelines to ensure transparency and facilitate a smooth handover at the end of the contract. β€’ Develop and present findings, model performance metrics, and project outcomes to technical leads and project managers, often through dashboards in tools like Power BI. Minimum Education β€’ Bachelor’s or advanced degree (Master’s/Ph.D.) in computer science, data science, artificial intelligence, or a related field. Minimum Work Experience (years) 5+ years - strong background in statistics, machine learning, deep learning and programming Key Skills and Competencies Technical Skills: β€’ Strong foundation in machine learning, deep learning, and AI frameworks β€’ Familiarity with tools and platforms such as TensorFlow, PyTorch, Databricks, Google BigQuery, and cloud-based AI services (AWS, Google Cloud, Azure). β€’ Familiarity with data visualization tools like Power BI or similar. β€’ Expert-level proficiency in Python and its core data science libraries (e.g., pandas, NumPy, scikit-learn). Strong SQL for complex data extraction is mandatory. β€’ Understanding of MLOps practices and tools (e.g., MLflow, Kubeflow) to ensure operational efficiency in AI pipelines. β€’ Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. β€’ Strong interpersonal and communication skills to effectively translate technical concepts for non technical stakeholders.