<p>Kforce has a client in Findlay, OH that is seeking an experienced Senior Data Scientist to join their Data Science and AI team.</p> <p>Summary: In this role, the Senior Data Scientist will help transform data into actionable insights, drive business strategy, and develop innovative AI-driven solutions. They 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.</p> <p>Key Responsibilities:</p> <ul> <li>Senior Data Scientist will lead the development of new solutions to meet evolving business needs </li><li>Use advanced machine learning techniques (e.g., deep learning, NLP, computer vision) to create innovative solutions </li><li>Manage multiple data science projects, ensuring alignment with business goals </li><li>Develop and optimize predictive models, integrating them with business intelligence tools </li><li>Build and maintain efficient data pipelines and collaborate with engineering teams for large-scale deployment </li><li>Mentor junior data scientists in model development and data handling best practices </li><li>Collaborate with leadership to provide data-driven insights that inform strategic decisions </li><li>Stay current with emerging data science technologies and methodologies </li><li>As a Senior Data Scientist, you will conduct exploratory data analysis to uncover patterns and communicate findings </li><li>Manage stakeholder expectations and deliver actionable solutions </li><li>Ensure data quality and consistency across data processing pipelines </li><li>Advocate for ethical use of data and models </li><li>Partner with external experts to enhance domain knowledge and improve data solutions* 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 </li><li>5+ years of relevant experience in data science or a similar role </li><li>Experience in techniques like clustering, classification, and forecasting to extract insights from data </li><li>Strong knowledge of AI/ML concepts and algorithms to design intelligent systems and applications </li><li>Knowledge of ethical considerations in data usage and mitigating bias in models and decisions </li><li>Expertise in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) </li><li>Deep understanding of machine learning algorithms (supervised, unsupervised, deep learning) </li><li>Understanding of business processes and market trends to deliver actionable insights </li><li>Excellent communication skills for engaging with stakeholders and cross-functional teams </li><li>Expertise in analyzing data and applying statistical methods to support decision-making </li><li>Familiarity with strategies to unlock value from data, including commercialization and data marketplaces </li><li>NLP - Proficiency in natural language processing to analyze and extract insights from text data </li><li>Reporting & Dashboarding - Skilled in preparing reports and dashboarding </li><li>Strong problem-solving and analytical skills </li><li>Strong ability to identify challenges, analyze solutions, and make data-driven recommendations </li></ul>