14 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.

Data Scientist We are in search of a Data Scientist to join our Manufacturing sector team based in WAYNE, Pennsylvania. This role involves the application of advanced analytics to drive business decisions, the use of Python programming for data handling, and the collaboration with team members across various departments to align data analysis efforts with organizational objectives. Responsibilities: • Utilize data analytics to enhance the accuracy of business forecasting. • Support the creation and routine updating of financial reports and dashboards. • Employ Python programming language and associated libraries such as pandas and numpy for efficient data handling. • Collaborate with finance, financial planning and analysis, and operations teams to ensure data analysis aligns with the overall organizational goals. • Respond promptly to ad-hoc data requests and aid in crafting data summaries for stakeholders. • Stay abreast of industry trends and best practices in data analytics and financial modeling. • Engage in training and mentorship programs to bolster technical and analytical skills. • Assist in gathering, organizing, cleansing, and analyzing data to derive meaningful insights that inform business decisions. • Develop notebooks on Jupyter for team projects and analyses to foster collaboration.

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>

Data Scientist - Group Director We are offering a contract to permanent employment opportunity for a Data Scientist - Group Director in New York. This role is pivotal in our team, with the primary focus on overseeing and nurturing the team of data scientists, data engineers, and data analysts. In addition, this role will involve direct data processing, statistical analysis, data modeling, and data governance tasks. Responsibilities: • Lead a team of data scientists, data engineers, and data analysts, fostering a positive and performance-driven culture • Oversee data processing, cleansing, and handling of raw data to generate large, structured datasets for analysis and modeling • Direct and conduct statistical analyses on both macro and micro levels • Execute ad-hoc “what if scenarios” and simulations based on models and evaluate media plans • Oversee the production of reporting, data visualization, and presentation building • Collaborate with internal teams across Business Intelligence, Buying, Planning, and Digital Investment to deliver integrated client deliverables • Drive research and development initiatives using algorithmic modeling, deriving new features, and providing training and support to power users • Employ critical thinking in identifying issues, solving problems, and improving processes • Translate business problems into mathematical expressions and equations • Ensure timely project delivery, producing analyses and content that is clean, organized, easy to understand • Present data and analyses in a compelling way to internal stakeholders and clients, ensuring their satisfaction • Support new business initiatives at the agency level, expand the Advanced Analytics client portfolio and upsell services to existing clients.

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>

Program Manager, Quantitative Research Operations We are offering an opportunity for a Program Manager, Quantitative Research Operations to join our team. The role involves managing the internal survey program, translating research needs, and driving innovation to enhance efficiency. As a part of this role, you will be expected to interface with different internal teams and external partners and contribute to the development of a streamlined survey review process. Responsibilities: • Oversee the day-to-day operations of the survey review and approval process to ensure overall survey health• Effectively communicate quantitative research needs to internal tooling teams to unlock necessary survey functionality• Identify and implement opportunities to innovate and build efficiency, ultimately empowering quantitative UXR to deliver impact across the organization• Develop and manage a streamlined survey review process to ensure smooth operations• Build and maintain documentation and trainings on survey tooling and quantitative-specific processes• Collaborate with the internal Survey Platform Team to submit tooling feature requests and ensure proper prioritization on development roadmaps• Work with quantitative leads and legal teams to establish appropriate survey policies and partner with survey approvers to ensure enforcement• Identify process gaps throughout the design and research process and suggest tools or improved processes to drive efficiencies• Recognize best practices and knowledge gaps and collaborate with internal and external partners to create ongoing training materials• Innovate on our survey practice to improve survey data and/or increase researcher efficiency.

Data Analytics Consultant As a Data Analytics Consultant, you will work closely with various teams to build and optimize our data analytics processes and reporting. You will be instrumental in defining business requirements, developing Power BI dashboards, and identifying areas of improvement. Responsibilities: • Collaborate with IT and data teams to ensure accurate sourcing, validation, and transformation of data.• Work in a cross-functional COE to define business requirements and translate them into operational, finance, and project metrics reporting.• Design and develop interactive Power BI dashboards and reports that provide insights into financial performance, operational efficiency, and project health.• Partner with finance, operations, and project teams to understand complex reporting needs and functional requirements.• Use your advanced system expertise and critical thinking skills to identify gaps and create innovative solutions for data integration and reporting optimization.• Act as a liaison between technical teams and business users, ensuring alignment between reporting outputs and stakeholder expectations.• Identify opportunities for reporting process enhancements, improve data accuracy and consistency, and provide actionable recommendations to stakeholders.

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.