Data ScientistTekfortune Inc • New York, NY, United States

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Data Scientist

Tekfortune Inc • New York, NY, United States

[job_card.variable_days_ago]

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[job_card.permanent]

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Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

Position : Data Scientist

Location : New York, NY - 10055 (Remote Work from Home)

Duration : 12+ Months Contract

Mandatory Skills and Experience :

Machine learning (supervised & unsupervised algorithms)
Natural Language Processing (NLP)
Python
Model Development and Deployment

Desired : Docker, Azure Cloud

Job Requirements

Deep skills in creating models to develop scalable solutions

Experience in deploying models and putting models into production

Good understanding of end-to-end data science projects - data intuition validation, model design, implementation, validation and testing, and deployment

Proven track record of building and demonstrating business value from predictive models and data products

Ability to write clean, understandable, well-documented code, following best practices

Experience with Machine Leaning algorithms - supervised & unsupervised

Experience dealing with both structured & unstructured datasets and drawing the insights from the data

Responsibilities :

Data Analysis and Modeling :

Analyze large datasets to identify trends, patterns, and insights.

Develop and implement machine learning models using Python and Azure Client.

Perform data preprocessing, feature engineering, and model evaluation.

Azure Databricks :

Utilize Azure Databricks for data processing, transformation, and analysis.

Develop and maintain ETL pipelines using Apache Spark on Databricks.

Collaborate with data engineers to ensure data quality and integrity.

Machine Learning Operations (MLOps) :

Deploy and monitor machine learning models in production environments.

Use MLflow for tracking experiments, managing model lifecycle, and versioning.

Implement best practices for model deployment, scalability, and performance.

Collaboration and Communication :

Work closely with cross-functional teams, including data engineers, software developers, and business analysts.

Communicate findings and insights to stakeholders through reports, dashboards, and presentations.

For more information and other jobs available please contact our recruitment team at careers@tekfortune.com. To view all the jobs available in the USA and Asia please visit our website at

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