Data Scientist at Remote

Hi,

Hope you’re Doing Great.

This is Swagatika from Fisec Global. We have an urgent Requirement with one of our clients. Please Review the below Job Description and Let me know your Interest.

 

The Following Requirement is open with our client.

Job Title: -  Data Scientist

Location:- : Remote

Duration: - 6 to 12 months

Relevant Experience: - 10+

 

Detailed Job Description:-

Skills:

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

RESPONSIBILITIES:
• Data Analysis and Modeling:

• Analyze large datasets to identify trends, patterns, and insights.
• Develop and implement machine learning models using Python and Azure ML.
• 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.

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

 

Thanks & Regards

 

SWAGATIKA SENAPATI SR. Recruiter, FISEC GLOBAL INC  925-597-6010 510   fisecglobal.net/    swagatika@fisecglobal.net