Specialist - Data Sciences

Role description

Job Title: Specialist – Data Sciences

Job Title:Job Title:Specialist – Data Sciences

Work Location:

Work Location:Work Location:

Irving, TX

Irving, TX

Job Summary:

Job Summary:Job Summary:

Seeking a Senior Python Data Science professional with 3 to 5 years of experience to develop and deploy advanced data-driven solutions.

Seeking a Senior Python Data Science professional with 3 to 5 years of experience to develop and deploy advanced data-driven solutions.

Job Description:

Job Description:Job Description:

• Utilize Python programming to analyze model and interpret complex datasets.

Utilize Python programming to analyze model and interpret complex datasets.

• Develop machine learning models and data science algorithms to extract actionable insights.

Develop machine learning models and data science algorithms to extract actionable insights.

• Collaborate with cross-functional teams to design scalable data science solutions Implement data preprocessing feature engineering and statistical analysis techniques.

Collaborate with cross-functional teams to design scalable data science solutions Implement data preprocessing feature engineering and statistical analysis techniques.

• Stay updated with the latest trends and advancements in Python and data science methodologies.

Stay updated with the latest trends and advancements in Python and data science methodologies.

• Translate business requirements into technical solutions leveraging Python data science tools and libraries.

Translate business requirements into technical solutions leveraging Python data science tools and libraries.

• Ensure data quality and integrity throughout the data lifecycle.

Ensure data quality and integrity throughout the data lifecycle.

Roles and Responsibilities:

Roles and Responsibilities:Roles and Responsibilities:

• Design develop and optimize machine learning and data science models using Python.

Design develop and optimize machine learning and data science models using Python.

• Conduct exploratory data analysis to identify patterns and trends relevant to business objectives.

Conduct exploratory data analysis to identify patterns and trends relevant to business objectives.

• Build and maintain data pipelines and workflows for efficient data processing.

Build and maintain data pipelines and workflows for efficient data processing.

• Validate and test models to ensure accuracy and robustness.

Validate and test models to ensure accuracy and robustness.

• Collaborate with engineering teams to integrate data science models into production environments.

Collaborate with engineering teams to integrate data science models into production environments.

• Mentor junior data scientists and provide technical guidance.

Mentor junior data scientists and provide technical guidance.

• Participate in code reviews knowledge sharing and continuous improvement initiatives.

Participate in code reviews knowledge sharing and continuous improvement initiatives.

• Communicate findings and insights effectively to both technical and nontechnical stakeholders.

Communicate findings and insights effectively to both technical and nontechnical stakeholders.