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Data Scientist

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  • Job
    Full-time
    Expert Level
  • Providence

Requirements

  • A solid foundation in Python programming is essential, along with familiarity with popular AI libraries/frameworks such as Langchain, TensorFlow, PyTorch, scikit-learn, and spaCy.
  • Demonstrated proficiency in developing AI solutions using Azure services, including Azure AI Search, Azure OpenAI APIs, and Azure SQL Database.
  • In-depth knowledge of search algorithms, indexing techniques, and retrieval models for effective information retrieval tasks.
  • Familiarity with search platforms like Elasticsearch or Azure AI Search is highly advantageous.
  • Hands-on experience with RAG architecture and its application in natural language processing tasks is a must.
  • Ability to proficiently manipulate data, perform complex queries, and conduct data transformations using SQL Server.
  • A solid understanding of machine learning and deep learning techniques, particularly those relevant to natural language processing tasks such as text extraction, text classification, sentiment analysis, named entity recognition, and summarization.
  • Ability to preprocess and clean large datasets efficiently using SQL/Python and other data manipulation tools.
  • Experience with techniques such as data normalization, feature engineering, and data augmentation is preferred.
  • Expertise in working with healthcare data standards (ex. HIPAA and FHIR), sensitive data and data masking techniques to mask personally identifiable information (PII) and protected health information (PHI) is essential.
  • Knowledge of cloud computing principles and experience in deploying, scaling, and monitoring AI solutions on cloud platforms like Azure.
  • Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders and collaborate with cross-functional teams.
  • Analytical mindset with a keen attention to detail, coupled with the ability to solve complex problems efficiently.
  • Knowledge of cloud cost management principles and best practices to optimize cloud resource usage and minimize costs.
  • Minimum of 10 years' experience as a data scientist.
  • Deep hands-on experience using Python.
  • Hands-on experience scaling POC to production.
  • Hands-on experience with Azure Cloud eco-system.
  • Hands-on experience using tools such as Document Intelligence (formerly Azure Form Recognizer), Snowflake, Azure AI Search, Azure OpenAI.
  • Experience working with PII/PHI.
  • Hands-on experience working with unstructured data.
  • Must have implemented a use case using RAG architecture.

Responsibilities

  • - A solid foundation in Python programming is essential, along with familiarity with popular AI libraries/frameworks such as Langchain, TensorFlow, PyTorch, scikit-learn, and spaCy.
  • - Demonstrated proficiency in developing AI solutions using Azure services, including Azure AI Search, Azure OpenAI APIs, and Azure SQL Database.
  • - In-depth knowledge of search algorithms, indexing techniques, and retrieval models for effective information retrieval tasks.
  • - Familiarity with search platforms like Elasticsearch or Azure AI Search is highly advantageous.
  • - Hands-on experience with RAG architecture and its application in natural language processing tasks is a must.
  • - Ability to proficiently manipulate data, perform complex queries, and conduct data transformations using SQL Server.
  • - A solid understanding of machine learning and deep learning techniques, particularly those relevant to natural language processing tasks such as text extraction, text classification, sentiment analysis, named entity recognition, and summarization.
  • - Ability to preprocess and clean large datasets efficiently using SQL/Python and other data manipulation tools.
  • - Experience with techniques such as data normalization, feature engineering, and data augmentation is preferred.
  • - Expertise in working with healthcare data standards (ex. HIPAA and FHIR), sensitive data and data masking techniques to mask personally identifiable information (PII) and protected health information (PHI) is essential.
  • - Knowledge of cloud computing principles and experience in deploying, scaling, and monitoring AI solutions on cloud platforms like Azure.
  • - Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders and collaborate with cross-functional teams.
  • - Analytical mindset with a keen attention to detail, coupled with the ability to solve complex problems efficiently.
  • - Knowledge of cloud cost management principles and best practices to optimize cloud resource usage and minimize costs.

FAQs

What is the location of the Data Scientist position?

The Data Scientist position can be based in Providence, Rhode Island, or can be performed remotely.

What is the duration of the Data Scientist project?

The project duration is 6 months.

What programming language is essential for this role?

A solid foundation in Python programming is essential for this role.

Which AI libraries or frameworks should candidates be familiar with?

Candidates should be familiar with popular AI libraries/frameworks such as Langchain, TensorFlow, PyTorch, scikit-learn, and spaCy.

What cloud platform experience is required for this position?

Candidates must have hands-on experience with the Azure Cloud ecosystem, including Azure AI Search, Azure OpenAI APIs, and Azure SQL Database.

What type of data experience is necessary for this job?

Candidates should have hands-on experience working with unstructured data, as well as experience working with sensitive data standards like HIPAA and FHIR.

Is knowledge of search algorithms and retrieval models required?

Yes, in-depth knowledge of search algorithms, indexing techniques, and retrieval models for effective information retrieval tasks is required.

What techniques should candidates know regarding data handling?

Candidates should be proficient in manipulating data, performing complex queries, conducting data transformations using SQL Server, and be familiar with data normalization, feature engineering, and data augmentation techniques.

What analytical skills are required for this role?

Candidates need to have an analytical mindset with keen attention to detail and the ability to solve complex problems efficiently.

What is the minimum experience required for applicants?

A minimum of 10 years of experience as a data scientist is required for this role.

What is RAG architecture and is it relevant for this job?

Yes, candidates must have hands-on experience implementing a use case using RAG architecture, particularly in natural language processing tasks.

Are there any specific communication skills needed for this position?

Yes, the ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders is essential, along with collaboration skills for working with cross-functional teams.

Is knowledge of cloud cost management practices necessary?

Yes, candidates should have knowledge of cloud cost management principles and best practices to optimize cloud resource usage and minimize costs.

Do we support additional healthcare data handling training?

Yes, relevant training related to handling healthcare data standards is supported for suitable candidates.

Consulting
Industry
201-500
Employees
2011
Founded Year

Mission & Purpose

“Zodiac Solutions” is a “Minority Business Enterprise” headquartered in Texas, USA. Our clients include large and small enterprises in the entertainment, media, financial, government, and healthcare sectors. We’ve carved out a niche as one of the industry’s top IT solutions providers by doing what we do best. To serve our diversified clientele, we go out of our way to learn about their business and assist them as needed. Zodiac Solutions works on a client-centric approach guided by the business philosophy of building lasting customer relationships in an intensely competitive global environment.”