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We are offering an exciting opportunity for a Senior Data Scientist in Canton, Ohio, United States. The hired detail-oriented individual will engage in developing innovative solutions using advanced machine learning techniques, leading multiple data science projects, and mentoring entry-level data scientists. The role also involves a significant amount of collaboration with different teams and stakeholders.

Responsibilities:
• Lead the development and prototyping of new solutions to meet emerging business requirements.
• Adopt advanced machine learning techniques such as deep learning, NLP, computer vision, and reinforcement learning to create innovative solutions.
• Oversee multiple data science projects ensuring alignment with business goals.
• Construct predictive models and integrate them with Business Intelligence tools while optimizing model performance.
• Design and maintain data pipelines for efficient data retrieval and processing.
• Cooperate with applications and data engineering teams for deploying models at scale.
• Guide entry-level data scientists in model development and data handling.
• Engage with Senior Leadership to inform strategic decisions using business intelligence insights.
• Explore and adopt cutting-edge technologies and methodologies in data science.
• Conduct exploratory data analysis to identify patterns, insights, and communicate findings.
• Manage stakeholder expectations and deliver actionable solutions.
• Supervise data processing pipelines ensuring data quality and consistency.
• Foster ethical considerations in model deployment and data utilization.
• Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.

• Position: Senior Data Scientist

• Minimum of 5 years of relevant work experience

• Proficiency in Apache Kafka, Apache Pig, and Apache Spark

• Experience with Cloud Technologies is essential

• Strong skills in Data Visualization and Algorithm Implementation

• Proven ability in Analytics and Apache Hadoop

• Experience in API Development is required

• Familiarity with AWS Technologies is a must

• Knowledge of OpenNLP is preferred

• Deep understanding of Deep Learning principles

• Expertise in Machine Learning is crucial

Call today for Immediate Consideration!

Technology Doesn't Change the World, People Do.^®

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use.

10 results for Data Scientist

Senior Data Scientist We are offering an exciting opportunity for a Senior Data Scientist in Canton, Ohio, United States. The hired detail-oriented individual will engage in developing innovative solutions using advanced machine learning techniques, leading multiple data science projects, and mentoring entry-level data scientists. The role also involves a significant amount of collaboration with different teams and stakeholders. Responsibilities: • Lead the development and prototyping of new solutions to meet emerging business requirements. • Adopt advanced machine learning techniques such as deep learning, NLP, computer vision, and reinforcement learning to create innovative solutions. • Oversee multiple data science projects ensuring alignment with business goals. • Construct predictive models and integrate them with Business Intelligence tools while optimizing model performance. • Design and maintain data pipelines for efficient data retrieval and processing. • Cooperate with applications and data engineering teams for deploying models at scale. • Guide entry-level data scientists in model development and data handling. • Engage with Senior Leadership to inform strategic decisions using business intelligence insights. • Explore and adopt cutting-edge technologies and methodologies in data science. • Conduct exploratory data analysis to identify patterns, insights, and communicate findings. • Manage stakeholder expectations and deliver actionable solutions. • Supervise data processing pipelines ensuring data quality and consistency. • Foster ethical considerations in model deployment and data utilization. • Collaborate with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.

Sr. Data Scientist Sr. Data Scientist (forecasting and retail industry experience) Robert Half is in search of a Sr. Data scientist who will have ownership of identifying/understanding the business opportunity that the company data presents and converting them into actionable, integrated, and advanced analytics/predictive solutions. Data scientist will work on creating data-driven applications that solve business problems for the company's customers. does not offer sponsorship now or in the future or C2Chybrid 3 days onsite Responsibilities <ul><li>Work with the company and partners to identify Business opportunities/problems and deliver actionable insights/predictive solutions that will result in Business value/growth for the company's customers.</li><li>Be at the forefront of research on how machine learning and artificial intelligence capabilities are maturing in the industry and what libraries, tools & technologies company needs to be successful in delivering, scaling, and supporting solutions</li><li>Subject matter expert for generating insights from data and machine learning models</li><li>Transform data and insights into intuitive & interactive visualizations</li><li>Work with contractors to deliver products and services for the company's customers. </li><li>Conduct Pilots with the company's customers and measure value</li><li>Transition successful pilots into commercial applications</li><li>Ensure design and implementation of technologies that comply with security standards and application architecture principles (in alignment with platform architects and respective review boards) and that consider state of the art data and analytics concepts</li><li>Review code/solutions developed by team prior to migration to production</li></ul>

Data Scientist We are in search of an entry to junior level Data Scientist to be a part of our team, based North of Dallas, TX. The individual will be a key player in the retail industry, using their analytical abilities and knowledge of data mining, statistical modeling, and machine learning to influence strategic business decisions. You will be instrumental in transforming data into actionable insights and fostering a data-driven culture within our team. Responsibilities<ul><li>Utilize advanced statistical models and machine learning algorithms to derive insights from complex datasets</li><li>Conduct comprehensive data exploration to discover trends, patterns, anomalies, and insights</li><li>Collaborate closely with stakeholders to comprehend business requirements and convert them into analytical projects</li><li>Translate intricate analytical findings into clear, understandable recommendations for upper management</li><li>Lead multiple analytics projects concurrently from start to finish, managing timelines and resources effectively</li><li>Develop strategies for project plans, timelines, and resource allocation</li><li>Ensure the successful delivery of insights that influence business performance</li><li>Design visualizations, interactive dashboards, and reports utilizing tools like Power BI to effectively communicate insights</li><li>Automate reporting processes to enhance efficiency and accuracy</li><li>Stay up-to-date on industry trends, tools, techniques, and emerging technologies in advanced analytics and data science</li><li>Experiment with new methodologies to continuously improve analytical capabilities</li><li>Challenge the conventional with data and innovative thinking.</li></ul>

Data Scientist-Gen AI Join a leading company in the staffing industry as a Data Scientist II, where you'll play a key role in leveraging generative AI and advanced analytics to drive business innovation. This role focuses on building AI-driven solutions, refining large language models, and developing predictive analytics to optimize decision-making. If you're passionate about using cutting-edge data science methodologies to solve complex business challenges, we want to hear from you! Data Analytics & Modeling:<ul><li>Develop and implement predictive models using machine learning algorithms.</li><li>Analyze large datasets to optimize key business processes.</li><li>Collaborate with engineering teams to deploy real-time model solutions.</li><li>Utilize Azure Machine Learning, Databricks, and Microsoft data services for model building and deployment.</li></ul>Large Language Model Fine-Tuning:<ul><li>Enhance AI model performance through fine-tuning and prompt engineering.</li><li>Conduct benchmarking with human-in-the-loop feedback for iterative improvements.</li><li>Design multi-agent workflows to solve business challenges.</li><li>Stay updated on advancements in AI and large language models.</li></ul>Data Strategy & Business Collaboration:<ul><li>Work with IT and data engineering teams to integrate AI solutions into enterprise systems.</li><li>Partner with stakeholders to translate data insights into actionable strategies.</li></ul>

Sr Data Scientist We are offering an exciting opportunity for a Sr Data Scientist based in Plano, Texas. In this role, you will be applying innovative scientific and quantitative approaches to draw conclusions and make recommendations that answer business objectives and drive change. You will be part of a dynamic team, working within an industry where your work will have a direct impact on our decision-making process. Responsibilities: • Apply advanced statistical analytics to assess future risks, opportunities, and effectiveness, translating results into solutions enhancing decision-making. • Manage analytics regarding loan performance, including delinquency and credit losses, identify key drivers, and develop forecast expectations. • Conduct innovative research projects, encapsulating project design, data collection and analysis, summarization of findings, and presentation of results. • Utilize your skills in SQL, SAS, Excel, and Access to facilitate data analysis and financial modeling. • Apply your knowledge of consumer lending business to produce advanced analytical material for discussions with cross-functional teams to understand complex business objectives and influence solution strategies. • Interact with stakeholders to understand their business questions, craft methodologies to mine/analyze datasets, and deliver insightful recommendations. • Use data mining techniques to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights. • Participate in budget processes, providing quantitatively-backed recommendations and insights.

Machine Learning Engineer Key Responsibilities: Design, build, and deploy scalable machine learning models and algorithms using Azure ML and other cloud-based services. Architect end-to-end ML pipelines, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Use Azure Machine Learning Studio, Azure Databricks, and other platform tools to accelerate the development and deployment of ML models. Collaborate with cross-functional teams (data scientists, developers, and business stakeholders) to understand business problems and translate them into technical solutions. Perform data analysis and modeling to provide insights and actionable recommendations to clients. Optimize ML models for performance, scalability, and cost-effectiveness within a cloud environment. Provide consulting expertise to clients by presenting technical recommendations and solution roadmaps tailored to their business goals. Support cloud migrations, integrations, and system scaling related to AI/ML. Stay updated on trends in AI, ML, and cloud technologies to recommend best practices and innovative solutions. Document ML workflows and frameworks, ensuring transparency and reusability across projects. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Proven detail oriented experience as a Machine Learning Engineer with a focus on developing, deploying, and managing ML models in Azure environments. Hands-on expertise in Azure tools and services, such as Azure Machine Learning Studio, Azure Databricks, Azure Data Factory, and Azure DevOps. Proficiency in Python, R, or similar programming languages commonly used in ML. Knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with MLOps strategies, automating ML pipelines, and model lifecycle management. Familiarity with SQL, NoSQL databases, and big data processing tools (e.g., Spark). A proven track record of consulting experience, including working directly with clients to identify needs, communicate solutions, and deliver business value. Strong analytical, problem-solving, and decision-making skills. Excellent communication and presentation abilities to explain complex technical concepts to non-technical stakeholders. Experience with Agile development methodologies and project management in consulting environments.

BI Analyst We are seeking a Business Intelligence (BI) Analyst to join our dynamic healthcare team based in Rosemont, Illinois. This role offers a contract to permanent employment opportunity, where you will be part of a team of developers and data scientists under the BI/AI Team lead. A significant part of the job will involve working on the clinical registry side, interacting with business stakeholders, and making necessary modifications to BI dashboards and visualizations. Responsibilities:• Develop and modify Business Intelligence Dashboards and visualizations to meet business needs.• Collaborate closely with a team of developers and a data scientist on a daily basis.• Utilize Power BI, Azure environments, and SQL for data analysis and reporting.• Work with Azure Analysis Services and report through Azure DevOps.• Manage and maintain accurate customer credit records.• Efficiently process customer credit applications.• Handle customer inquiries and monitor customer accounts for necessary action.• Apply Microsoft Office Apps, particularly Excel, in managing and analyzing data.• Maintain and respect the privacy of PHI (Protected Health Information).• Use Microsoft Fabric and Python language, if available, to enhance BI operations.

Computer Vision Engineer We are seeking a talented and experienced Machine Learning Engineer with expertise in Computer Vision to join our dynamic team. In this role, you will focus on developing and deploying production-ready computer vision models leveraging cutting-edge technologies. The ideal candidate will have a strong background in Python programming, deep learning frameworks, and hands-on experience with tools and techniques such as YOLO, U-Net, image segmentation, CNNs/RCNNs, and preprocessing methods like blurring and contrast enhancements. If you thrive in a hybrid work environment and are excited to tackle real-world challenges in computer vision, we want to hear from you! This role in hybrid, onsite 3 days a week in Boston. Key Responsibilities:<ul><li>Design, develop, and deploy scalable and production-ready computer vision models for real-world applications.</li><li>Leverage algorithms and frameworks like YOLO, U-Net, CNNs/RCNNs, and other deep learning architectures for tasks such as image segmentation, object detection, and classification.</li><li>Implement pre- and post-processing techniques, including image blurring, contrast enhancements, and other image augmentation pipelines, to optimize model performance.</li><li>Write efficient, maintainable, and clean Python code for integrating computer vision models into production systems.</li><li>Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand project needs and deliver solutions.</li><li>Analyze and improve model performance, accuracy, and efficiency through continuous evaluation and enhancement.</li><li>Stay updated on the latest advancements in computer vision and machine learning techniques, incorporating new technologies where appropriate.</li><li>Contribute to model optimization and inference processes to ensure scalability and low latency in production environments.</li><li>Troubleshoot production issues and implement solutions to improve reliability and performance.</li><li>Document technical solutions, workflows, and methodologies for internal and external stakeholders.</li></ul>

AI Systems Analyst Position Summary: We are seeking a skilled and detail-oriented AI Template Creator to join our team and help streamline the processing of OCR (Optical Character Recognition) data into actionable templates for use on AI platforms. This role requires technical expertise in AI systems, proficiency in OCR technologies, and an ability to design flexible, reusable, and efficient templates that align with business needs. The ideal candidate will collaborate with cross-functional teams, ensuring the output aligns with organizational goals while optimizing workflow efficiency. Key Responsibilities:<ul><li>Template Design and Optimization:</li><li>Use OCR-acquired data to create and structure templates for an AI platform.</li><li>Ensure templates are flexible, reusable, and adaptable to a variety of data inputs.</li><li>Continuously optimize templates for improved accuracy, performance, and user experience (Source: SG25 US Finance and Accounting.doc).</li><li>Data Integration:</li><li>Translate unstructured OCR data into structured formats suitable for AI-driven analysis and reporting.</li><li>Work with large datasets, ensuring information is accurately processed and mapped into template fields.</li><li>Collaboration:</li><li>Partner with end-users, developers, and stakeholders to understand data usage and template needs.</li><li>Communicate effectively with internal teams to identify requirements and align solutions with organizational objectives.</li><li>Testing and Quality Assurance:</li><li>Test templates to ensure they function effectively in AI platforms.</li><li>Identify and troubleshoot issues related to data extraction, formatting errors, or performance constraints in collaboration with developers and QA teams.</li><li>Documentation and Training:</li><li>Create comprehensive documentation for template usage and troubleshooting.</li><li>Provide training to relevant teams or end-users on how to manage and utilize AI-driven templates effectively.</li></ul> Required Skills and Qualifications:<ul><li>Technical Knowledge:</li><li>Proficiency with OCR tools and technologies and hands-on experience processing OCR data into structured outputs.</li><li>Strong understanding of AI platforms and template creation processes.</li><li>Analytical Skills:</li><li>Ability to identify patterns in unstructured data and design templates to capture relevant data points effectively.</li><li>Strong troubleshooting skills to resolve inconsistencies and inaccuracies in OCR data interpretations.</li><li>Communication Skills:</li><li>Ability to clearly document workflows, guidelines, and template configurations for</li></ul>

AI Engineer We are in search of an AI Engineer to join our team based in New York, New York. As an AI Engineer, your primary role will be to design and implement AI-powered solutions that enhance operational efficiency and workflow. Your work will span across various teams, providing them with AI-driven tools that boost productivity and automate processes. Responsibilities: • Design and construct AI-native solutions tailored to streamline operations and increase workflow efficiency. • Collaborate with different teams to deliver AI-driven tools that promote automation and productivity. • Engage with stakeholders across departments to comprehend business needs and convert them into AI-enabled solutions. • Develop and blend applications using technologies such as React, Node.js, Express.js, and NoSQL databases. • Utilize tools such as Retool and other internal frameworks to craft efficient, scalable internal applications. • Ensure the scalability, reliability, and optimization of AI models for production use. • Stay abreast of emerging AI technologies and implement best practices to enhance system performance. • Design, test, and deploy AI-powered applications.

Technology Doesn't Change the World, People Do.®

10 results for Data Scientist

Technology Doesn't Change the World, People Do.^®