Data Scientist

Job Overview

STAFFXPERT LLC is looking for a Data Scientist to contribute to developing intelligent, data-powered features within operational tools at their Dallas, TX site. This contract role spans 6 months and focuses on leveraging advanced analytics and machine learning to enhance decision-making processes and business recommendations.

Primary Responsibilities

• Design, develop, and implement machine learning models aimed at improving business recommendations and decisions.
• Conduct predictive, descriptive, and prescriptive analytics on extensive historical datasets to generate impactful insights.
• Construct efficient queries to analyze historical data and uncover relevant trends and patterns.
• Create data-driven strategic solutions targeting immediate business challenges and longer-term objectives.
• Develop forward-looking models to support recommendation systems rather than addressing only current issues.
• Work collaboratively with cross-department teams to embed ML functionalities into existing applications and operational tools.
• Effectively communicate complex data analyses and model outcomes to non-technical business stakeholders.

Required Qualifications and Skills

• Extensive experience with data science methodologies, machine learning algorithms, and predictive analytics techniques.
• Proven ability managing and analyzing large historical datasets with advanced data analysis practices.
• Strong SQL proficiency for data extraction and manipulation.
• Skilled in descriptive and prescriptive analytics to drive actionable business insights.
• Experience deploying machine learning models into enterprise environments or operational tools.
• Knowledgeable in recommendation systems, forecasting methods, optimization, and decision intelligence frameworks.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Proficient in Python programming and key data science libraries including Pandas, NumPy, and Scikit-learn.
• Ability to engineer intelligent decision support and recommendation engine systems.
• Strong verbal and written communication skills to translate technical analyses into understandable business terms.