Role: Data Scientist Location: Dallas/San Antonio/Plano, TX(ONSITE) Duration : Long Term Role name: Data Scientist Role Description: 1 Partners with business team to understand business problems and objectives 2 Conducts sophisticated analytics using predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives3 Use large amounts of both structured and unstructured data (internal and external) to build AI/Client modeling solutions.4 End-to end experience of model development life cycle including model performance monitoring and model feature development.5 Provide Subject Matter Experts (SMEs) support on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.6 Works with IT to research architecture for new products, services, and features.7 Strong analytical and communication skills. Competencies: Digital : Python, Digital : Amazon Web Service(AWS) Cloud Computing, Digital : Machine Learning, Performance Models Experience (Years): 4-6 Essential Skills: 1. Build predictive models and machine-learning algorithms to Client insights, trends, and patterns.2. Model Performance monitoring. 3. Model feature development.4. Ability to analyze/understand the model development life cycle from business perspectives and provide end to end data science consulting.5. Experience of delivering machine learning models in AWS Desirable Skills: Experience of deploying machine learning models in production Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

<h3>Job Description</h3><div>Job Description<div>Company Description "We're not in the shipping business; we're in the information business."  -Peter Rose, Expeditors FounderAt the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics. Global supply chain management is what we do, getting goods from one place to another for our customers, but information is how we do it and do it the best! We are a Global company based in the United States with…<ul><li>18,000 trained professionals</li><li>350+ locations worldwide across 60+ Countries</li><li>Fortune 500</li><li>Globally unified systems</li></ul>Job Description We are looking for a Senior Data Scientist with at least seven years of experience implementing machine-learning models and conducting advanced data analysis for production-level systems. The ideal candidate should have a strong background in logistics, particularly in supply chain optimization or logistics network optimization. This position will support America's geography under the IS organization and is part of a department that aims to enhance the operations of over 70 offices across multiple countries. This role is crucial and requires working within a highly collaborative and agile team that solves business challenges using data, technology, and good old-fashioned ingenuity and works exclusively on projects with the highest potential to impact the bottom line of the Americas.Successful candidates must be able to:<ol><li>Break down complex problems, identify relevant data and methodologies, and develop innovative solutions.</li><li>Convey complex insights to non-technical stakeholders and collaborate with cross-functional teams.</li><li>Stay updated with the latest advancements in data science through self-study, workshops, and online communities.</li></ol>Major Duties and Responsibilities<ul><li>Develop and deploy advanced machine learning models to optimize logistics processes and improve supply chain efficiency.</li><li>Conduct thorough analysis of large-scale datasets to identify opportunities for optimization and efficiency gains.</li><li>Collaborate with cross-functional teams, including operations, engineering, and business development, to understand business requirements and translate them into actionable insights.</li><li>Lead initiatives to design and implement algorithms for route optimization, consolidation optimization, and demand forecasting.</li><li>Stay current with industry trends and best practices in logistics and supply chain management and apply them to enhance our operations.</li><li>Ensure proper architecture, engineering, and cybersecurity with all solutions.</li><li>Develop within company standards and SDLC.</li><li>Document all learnings and solutions.</li><li>Collaborates and promotes best practices within the team and department.</li><li>Support agile work processes and keep work management systems current (e.g., Azure DevOps)</li></ul>Qualifications <ul><li>Master's degree in computer science, statistics, mathematics, or a related field; advanced degree preferred</li><li>Minimum of seven years of experience in a data science role, with a focus on implementing machine learning models in production</li><li>Experience with querying languages (e.g., SQL)</li><li>Strong programming skills in languages such as Python, R, or Java</li><li>Experience with analytics/ML libraries (e.g., pandas, numpy, scikit-learn, PyTorch, matplotlib)</li><li>Proficient in machine learning algorithms (regression techniques, tree-based, deep learning, unsupervised learning)</li><li>Experience with data visualization tools such as Tableau or Power BI</li><li>Proficient in statistical analysis and hypothesis testing</li><li>Experience in monitoring deployed machine learning pipelines</li><li>Excellent communication skills with the ability to convey complex findings to non-technical stakeholders</li><li>Experience in logistics and supply chain optimization is highly desirable</li><li>Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment</li></ul> Additional Information Please review carefully:1. Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.2. The position requires daily commuting to one of the offices referenced below, with 26 days of remote work opportunities per year.<ul><li>DTW - 11101 Metro Airport Center Dr, Romulus, MI 48174, USA</li><li>DFW - 506 E Dallas Rd, Grapevine, TX 76051, USA</li><li>EWR - 150 Raritan Center Pkwy, Edison, NJ 08837, USA</li><li>LAX - 12200 Wilkie Ave suite 100, Hawthorne, CA 90250, USA</li><li>ATL - 2764 Anvilblock Rd, Ellenwood, GA 30294</li><li>ORD - 849 Thomas Drive Bensenville, IL 60106 US</li></ul>Position is full time (40 hours per week) Monday through Friday. We are a business professional attire company.Expected base salary: $125,000 - $160,000 based on location and experienceExpeditors offers excellent benefits:USA<ul><li>Paid Vacation, Holiday, Sick Time, Work from Home Time</li><li>Health Plan: Medical, Prescription Drug, Dental and Vision</li><li>Life and Long Term Disability Insurance </li><li>401(k) Retirement Savings Plan </li><li>Employee Stock Purchase Plan</li><li>Training and Personnel Development Program</li><li>Transit pass</li></ul>All your information will be kept confidential according to EEO guidelines. </div></div>

Description: Provide data analytics to the Mortgage, Consumer and Deposit lines of business, evaluating credit risk across the full lifecycle of our products. Primary focus areas include portfolio, scenario, and strategic analysis, portfolio acquisitions and divestitures, and ad-hoc Executive analytics. Other focus areas include marketing campaign response, evaluating success of strategic initiatives, account acquisition and management, delinquency and default, and overall portfolio asset quality. Utilize internal and external data to drive decision-making and identify opportunities. Monitor trends in the industry. Focus on getting the most out of data and exploring new areas of analysis. Responsibilities: You will be part of the decision and data science function: including contributing to the development of underwriting models, customer segmentation methodologies, marketing targeting, attribution and response models, as well as the evaluation of new data sources and performing advanced data processing You will carry out data processing and analysis including statistical analysis, variable selection, dimensionality reduction, custom attribute engineering, You will help with the design, development, evaluation and monitoring of predictive models and advanced algorithms that help the business to drive decisions throughout the customer lifecycle (prospecting, acquisition, underwriting, fraud, collections, ). You will leverage methods from diverse disciplines such as machine learning, statistical modelling, information theory, information retrieval and other areas to gain customer insights, draw conclusions and work with business partners to put those insights into You will work closely with business partners, technology and customer analytics teams to evaluate new and alternate data sources as well as computing paradigms and analytical You will participate in data architecture decisions and partner with technology teams to implement models/algorithms in production You will be part of a growing and exciting team and will help document your assumptions, methodologies, as well as carry out validation and testing to facilitate peer reviews and independent model validation Qualifications: Master's degree in quantitative areas like Applied Math, Statistics, Engineering, Computer Science or related

Description: We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with the customer systems/products. Required Technical Skill-set will be : Python, Machine learning algorithm development , Deep learning - AAN, CNN, LSTM, RCNN etc. Responsibilities: You will be part of the Data & Analytics team and will play the role of an Data Scientist. Will be working on customer engagements and will be responsible to develop ML/Deep Learning algorithms which will provide insights Understanding of Data analytics requirements Analyzing the data set, exploratory data analysis , visualization Development of machine learning code using python and machine learning algorithms Testing, validation of data, implementation of algorithms Presentation to customer , internal teams , learning new algorithms Need to Handle Customer Communications and Management Reporting Master's degree in quantitative areas like Business Analytics, Operational Research,Computer Science or related.

Company Description "We're not in the shipping business; we're in the information business." -Peter Rose, Expeditors Founder At the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics. Global supply chain management is what we do, getting goods from one place to another for our customers, but information is how we do it and do it the best! We are a Global company based in the United States with... <ul><li>18,000 trained professionals</li><li>350+ locations worldwide across 60+ Countries</li><li>Fortune 500</li><li>Globally unified systems</li></ul> Job Description We are looking for a Senior Data Scientist with at least seven years of experience implementing machine-learning models and conducting advanced data analysis for production-level systems. The ideal candidate should have a strong background in logistics, particularly in supply chain optimization or logistics network optimization. This position will support America's geography under the IS organization and is part of a department that aims to enhance the operations of over 70 offices across multiple countries. This role is crucial and requires working within a highly collaborative and agile team that solves business challenges using data, technology, and good old-fashioned ingenuity and works exclusively on projects with the highest potential to impact the bottom line of the Americas. Successful candidates must be able to: <ol><li>Break down complex problems, identify relevant data and methodologies, and develop innovative solutions.</li><li>Convey complex insights to non-technical stakeholders and collaborate with cross-functional teams.</li><li>Stay updated with the latest advancements in data science through self-study, workshops, and online communities.</li></ol> Major Duties and Responsibilities <ul><li>Develop and deploy advanced machine learning models to optimize logistics processes and improve supply chain efficiency.</li><li>Conduct thorough analysis of large-scale datasets to identify opportunities for optimization and efficiency gains.</li><li>Collaborate with cross-functional teams, including operations, engineering, and business development, to understand business requirements and translate them into actionable insights.</li><li>Lead initiatives to design and implement algorithms for route optimization, consolidation optimization, and demand forecasting.</li><li>Stay current with industry trends and best practices in logistics and supply chain management and apply them to enhance our operations.</li><li>Ensure proper architecture, engineering, and cybersecurity with all solutions.</li><li>Develop within company standards and SDLC.</li><li>Document all learnings and solutions.</li><li>Collaborates and promotes best practices within the team and department.</li><li>Support agile work processes and keep work management systems current (e.g., Azure DevOps)</li></ul> Qualifications <ul><li>Master's degree in computer science, statistics, mathematics, or a related field; advanced degree preferred</li><li>Minimum of seven years of experience in a data science role, with a focus on implementing machine learning models in production</li><li>Experience with querying languages (e.g., SQL)</li><li>Strong programming skills in languages such as Python, R, or Java</li><li>Experience with analytics/ML libraries (e.g., pandas, numpy, scikit-learn, PyTorch, matplotlib)</li><li>Proficient in machine learning algorithms (regression techniques, tree-based, deep learning, unsupervised learning)</li><li>Experience with data visualization tools such as Tableau or Power BI</li><li>Proficient in statistical analysis and hypothesis testing</li><li>Experience in monitoring deployed machine learning pipelines</li><li>Excellent communication skills with the ability to convey complex findings to non-technical stakeholders</li><li>Experience in logistics and supply chain optimization is highly desirable</li><li>Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment</li></ul> Additional Information Please review carefully: 1. Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity. 2. The position requires daily commuting to one of the offices referenced below, with 26 days of remote work opportunities per year. <ul><li>DTW - 11101 Metro Airport Center Dr, Romulus, MI 48174, USA</li><li>DFW - 506 E Dallas Rd, Grapevine, TX 76051, USA</li><li>EWR - 150 Raritan Center Pkwy, Edison, NJ 08837, USA</li><li>LAX - 12200 Wilkie Ave suite 100, Hawthorne, CA 90250, USA</li><li>ATL - 2764 Anvilblock Rd, Ellenwood, GA 30294</li><li>ORD - 849 Thomas Drive Bensenville, IL 60106 US</li></ul> Position is full time (40 hours per week) Monday through Friday. We are a business professional attire company. Expected base salary: $125,000 - $160,000 based on location and experience Expeditors offers excellent benefits: USA <ul><li>Paid Vacation, Holiday, Sick Time, Work from Home Time</li><li>Health Plan: Medical, Prescription Drug, Dental and Vision</li><li>Life and Long Term Disability Insurance </li><li>401(k) Retirement Savings Plan </li><li>Employee Stock Purchase Plan</li><li>Training and Personnel Development Program</li><li>Transit pass</li></ul> All your information will be kept confidential according to EEO guidelines.

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Data Scientist Jobs in Edison, NJ

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