Mindlance
Data Scientist
Holtsville, New York, USA · Contract
Sponsorship not specifiedDetected 102 days ago
PythonSQLBigQueryDatabricksAWSGCPAzureMachine LearningDeep LearningTensorFlowPyTorchPandasNumPyData EngineeringData ScienceData VisualizationMLOpsStatisticsCommunication
About the role
- Minimum Work Experience 5+ years with a strong background in statistics, machine learning, deep learning, and programming.
Responsibilities
- Process, cleanse, and transform large, complex datasets from various sources to create highquality 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. Technical Skills
Requirements
- Expertlevel proficiency in Python and its core data science libraries (e.g., pandas, NumPy, scikitlearn).
Benefits
- Minimum Education Bachelor s or advanced degree (Master s/Ph.D.) in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Preferred Certifications: - Google Cloud Professional Machine Learning Engineer - AWS Certified Machine Learning Specialty - Microsoft Certified: Azure AI Engineer Associate
- Design, build, and validate robust predictive models and machine learning solutions to address specific business problems.
- Strong foundation in machine learning, deep learning, and AI frameworks.
Equal opportunity
- Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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This listing is sourced directly from Mindlance's careers page and normalized into a canonical job model.