Senior Data Scientist
Kforce Inc.

Job Info

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RESPONSIBILITIES:

Kforce has a client that is seeking an experienced Senior Data Scientist to join our Data Science and AI team in San Antonio, TX.Summary:In this role, you will help transform data into actionable insights, drive business strategy, and develop innovative AI-driven solutions. You will leverage advanced machine learning, statistical techniques, and analytics to solve complex challenges, collaborating with cross-functional teams to design, develop, and deploy scalable models and algorithms.Key Responsibilities:

• Senior Data Scientist will lead the development of new solutions to meet evolving business needs
• Use advanced machine learning techniques (e.g., deep learning, NLP, computer vision) to create innovative solutions
• Manage multiple data science projects, ensuring alignment with business goals
• Develop and optimize predictive models, integrating them with business intelligence tools
• Build and maintain efficient data pipelines and collaborate with engineering teams for large-scale deployment
• Mentor junior data scientists in model development and data handling best practices
• Collaborate with leadership to provide data-driven insights that inform strategic decisions
• Stay current with emerging data science technologies and methodologies
• As a Senior Data Scientist, you will conduct exploratory data analysis to uncover patterns and communicate findings
• Manage stakeholder expectations and deliver actionable solutions
• Ensure data quality and consistency across data processing pipelines
• Advocate for ethical use of data and models
• Partner with external experts to enhance domain knowledge and improve data solutions

REQUIREMENTS:

• Bachelor's degree in Information Technology, related field, or equivalent experience required; Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field preferred
• 5+ years of relevant experience in data science or a similar role
• Expertise in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Deep understanding of machine learning algorithms (supervised, unsupervised, deep learning)
• Strong problem-solving and analytical skills

Key Skills:

• AI/ML - Strong knowledge of AI/ML concepts and algorithms to design intelligent systems and applications
• Business Domain Knowledge - Understanding of business processes and market trends to deliver actionable insights
• Communication & Collaboration - Excellent communication skills for engaging with stakeholders and cross-functional teams
• Data Analysis - Expertise in analyzing data and applying statistical methods to support decision-making
• Data Ethics - Knowledge of ethical considerations in data usage and mitigating bias in models and decisions
• Data Mining - Experience in techniques like clustering, classification, and forecasting to extract insights from data
• Data Monetization - Familiarity with strategies to unlock value from data, including commercialization and data marketplaces
• NLP - Proficiency in natural language processing to analyze and extract insights from text data
• Problem-Solving - Strong ability to identify challenges, analyze solutions, and make data-driven recommendations
• Reporting & Dashboarding - Skilled in preparing reports and dashboards to communicate insights and guide decision-making
• Statistical Analysis - Solid foundation in statistical principles to support data-driven decisions and analysis

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