

E-Solutions
Senior Data Scientist (Local to NJ & NY)
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
May 14, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Holtsville, NY
-
π§ - 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’ Bachelorβs or advanced degree (Masterβs/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.
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’ Bachelorβs or advanced degree (Masterβs/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.






