Role : Senior Data Scientist
Location : Holtsville NY (Hybrid)
Rate : $72/hr.
Job Description:
• Design, build, and validate robust predictive models and machine learning solutions
to address specific business problems.
• Process, cleanse, and transform large, complex datasets from various sources to
create high-quality features for modeling.
• Create comprehensive documentation for all models, code, and data pipelines to
ensure transparency and facilitate a smooth handover at the end of the contract.
• 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
• 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:
• Strong foundation in machine learning, deep learning,
and AI frameworks
• Familiarity with tools and platforms such as
TensorFlow, PyTorch, Databricks, Google BigQuery, and
cloud-based AI services (AWS, Google Cloud, Azure).
• Familiarity with data visualization tools like Power BI or
similar.
• 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.
• Understanding of MLOps practices and tools (e.g.,
MLflow, Kubeflow) to ensure operational efficiency in
AI pipelines.
• Strong knowledge of data preprocessing, feature
engineering, and model evaluation techniques.
• Strong interpersonal and communication skills to
effectively translate technical concepts for non
technical stakeholders.
Licenses, Certifications or Special
Qualifications
• Preferred: Certifications such as Google Cloud
Professional Machine Learning Engineer, AWS Certified
Machine Learning – Specialty, or Microsoft Certified:
Azure AI Engineer Associate.