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.

DutiesWHAT IS THERAAS - Research, Applied Analytics and Statistics DIVISION?A description of the business units can be found at:Vacancies will be filled in the following specialty areas:Research, Applied Analytics and StatisticsDUTIES:Responsible for the growth of data in the statistics and reporting environment by leading the certification of data sets that are available for reporting, collaborating with IRS information technology leaders on desired new technologies and techniques to create efficient processes around data extraction, loading, transformation, governance, and cataloguing for better and reduced time to insights for the business units.Combines, analyzes, and interprets large and/or complex data sets to develop organizational solutions.Identifies the methods, processes, algorithms, tools, and systems to extract and interpret findings fromvarious structured and unstructured data sets related to the data science lifecycle. Responsible for thedevelopment of algorithms and/or tools to support data manipulation and processing as well as the use ofdata visualization techniques to articulate findings. Uses emerging technology, and various data sourcesto perform exploratory analyses on new and archival data sources.Conducts in-depth analysis of data and disseminates the results of those analyses. Identifies and/ordevelops innovative and effective approaches and methodologies; applies advanced operations researchand data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling,prescriptive analysis, and optimization; and validates analysis and outcomes. Conducts statistical analysisto make informed projections and recommendations.Applies professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for analytical modeling, interpreting models, and/or reporting quantitative information, trends, relationships, and correlations among or within data. Advises on the potential benefits/uses of automation to improve the efficiency of program operations. Analyzes a variety of data sources to provide data driveninsights to the RAAS organization to streamline processes.Utilizes an in-depth knowledge of data science techniques and methodologies such as machine learning, predictive analysis, prescriptive analysis and optimization, and other emerging analytical techniques to assist, consult, or lead others in the application of data science techniques. Defines and documents the specific analytics approaches applied in project delivery; establishing success metrics to be used in satisfying business's requirements for project outcomes; and establishing key performance indicators to be used in ongoing reporting that measure the value creation delivered by the project over time.RequirementsConditions of EmploymentTelework Eligible Positions : Telework eligible positions do not guarantee telework. Employees must meet and sustain IRS telework eligibility requirements (e.g., reporting at least twice a pay periodto your assigned Post of Duty (POD) ) and supervisor's approval to participate in the IRS Telework Program. Employees must also be within a 200-mile radius of their official assigned post-of-duty (POD) while in a telework status.As a reminder - If you are selected for a position, you are responsible for reporting to your designated POD (location) on the negotiated start date or as directed by management.Must be a U.S. Citizen or National and provide proof of U.S. Citizenship. (Birth certificate showing birth in the U.S;UnexpiredU.S. Passport; Certificate of Citizenship or Naturalization; or Report of Birth Abroad of a U.S. Citizen (Form FS-240))Must successfully complete a background investigation, including a FBI criminal history record check (fingerprint check).QualificationsFederal experience is not required. The experience may have been gained in the public sector, private sector or One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume.You must meet the following requirements by the closing date of this announcementORtime of referral:BASIC REQUIREMENT : EDUCATION:A degree in mathematics, statistics, computer science, data science, or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.ORCOMBINATION OF EDUCATION AND EXPERIENCE:A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:SPECIALIZED EXPERIENCE:In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study. Experience using scientific methods to plan, design, conduct, and present data science projects to stakeholders. Experience planning and executing a variety of projects and in making recommendations requiring technical and administrative judgment. Experience developing long- and short-term program plans, assess resource utilization, initiate, or recommend new or revised processes and procedures. Experience applying statutory, regulatory and policy requirements and guidelines to analyze data, draw valid conclusions, formulate policy or procedures. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience with research and study design from the formulation of concepts through specification and analysis of output to the presentation of conclusions. Experience with project planning techniques along with negotiating with management to accept and implement recommendations. Experience preparing and analyzing structured and unstructured datasets. Experience coding in various programming languages. Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. Experience preparing written and oral communications, to produce authoritative reports, position papers, briefings, and presentations that effectively communicates ideas to IRS executives, managers, and technical experts.For more information on qualifications please refer to .EducationFor positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected.A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to .FOREIGN EDUCATION:Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click for Foreign Education Credentialing instructions.Additional informationA 1-year probationary period is required.Have your salary sent to a financial institution of your choice by Direct Deposit/Electronic Funds Transfer.We may select from this announcement or any other source to fill one or more vacancies. Additional jobs may be filled.This is a non-bargaining unit position.Tour of Duty: Day ShiftAlternative work schedule, staggered work hours or telework may be available..In the event that a building is closed due to rent management, new hires may be placed in a local commuting location.Relocation expenses - noObtain and use a Government-issued charge card for business-related travel.This is an open continuous announcement which allows applicants to apply up to the closing date of the announcement, 08/19/2024 .This announcement will establish an inventory of applicants. Contingent upon funding and space requirements, one or more vacancies may be filled at the locations listed in this announcement as they come available.A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. .Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.Required DocumentsThe following documents are required and must be provided with your application. All application materials, including transcripts, must be in English.Online Application- QuestionnaireEducation-See Education Section aboveRegistration/License (If Applicable)- active, current registration/licenseHigh School Diploma(or equivalent) - If you are 16 or 17 years of age, youMUSTsubmit documentation of graduation from high school (or equivalent); OR completion of a formal vocational training program; OR statement from school authorities agreeing with your decision to pursue employment rather than continuing your education.Please note that if you do not provide all required information, as specified in this announcement, you may not be considered for this position (or may not receive the special consideration for which you may be eligible).How to ApplyThis Direct Hire Public Notice is to gather applications that may or may not result in a referral or selection. Your application will remain active through the open period of this Public Notice. Applicants will be referred on a first in, first out basis. Those applicants who are applying earlier in the process will stand a much better chance of being referred for consideration in the selection process.The following instructions outline our application process. You must complete this application process and submit any required documents by 11:59 p.m. Eastern Time (ET) on 08/19/2024 in this announcement. We are available to assist you during business hours (normally 8:00 a.m. - 4:00 p.m. ET, Monday - Friday). If applying online poses a hardship, please contact us by noon ET on 08/19/2024.To preview the Application Questionnaire, please click the following link:To beginthe application process,click the 'Apply Online' button.You will be re-directed to USA STAFFING to complete your application process; answer the online questions and submit all required documents. (To submit supporting documents, import documents from USAJOBS to the appropriate document types. If the document you need was not imported from USAJOBS, you may upload it directly into this application. To protect your privacy, we suggest you first remove your SSN).To complete , you must click the 'Submit Application' button prior to 11:59 PM (ET) on 08/19/2024.To update your application, including supporting documentation, at any time during the announcement open period, return to your USAJOBS account (). There you will find a record of your application, the application status, and an option to Update Application. This option will no longer be available once the announcement has closed.To verify the status of your application both during and after the announcement open period, log into your USAJOBS account: . All of your applications will appear on theWelcomepage. The application record in your USAJOBS account provides anAdditional Application Informationpage that provides information regarding the documentation you submitted and any correspondence we have sent related to this application. TheApplication Statuswill appear along with the date your application was last updated. For information on what eachApplication Statusmeans, visit: .Agency contact information(ERC) Employee Resource CenterPhoneEmailWebsiteAddressRAAS1111 Constitution AveWashington, DC 20224USNext stepsTreasury believes in a working environment that supports inclusion; please view our reasonable accommodation policies and procedures at . We will provide reasonable accommodation to applicants with disabilities on a case-by-case basis; please contact us if you require this for any part of the application and hiring process.Once your application package and online questionnaire is received you will receive an acknowledgement email. You are responsible for checking status updates and notifications in USAJOBS. Hard copy notifications will not be sent to you. You may check the status of your application for this position at any time by logging onto the USAJOBS 'My Account' tab and clicking on 'Application Status.' For a more detailed update of your application status, you may click on 'more information.' Please notify us if your contact information changes after the closing date of the announcement. If your email mailbox is full or blocked (SPAM) you may not receive important communication that could affect your consideration for this position.Fair & TransparentThe Federal hiring process is set up to be fair and transparent. Please read the following guidance.#J-18808-Ljbffrby Jobble

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.#J-18808-Ljbffrby Jobble

Description: Senior Data Scientist with experience providing advisory, strategy, and architecture services in the use of Machine Learning and Deep Learning in enterprises. Experience with multiple ML/DL platforms a must Responsibilities: 1) Provide Strategy & Advisory services to Clients in the AI space. 2) Define models for various enterprise scenarios using Google Tensorflow, Azure ML, Amazon Machine Learning Qualifications: 1) Experience with AI Platforms like Google TensorFlow, AWS Sagemaker, Azure Cortana, Watson 2) Experience provide consulting services 3) 15-20 years + experience in IT 4) Progressive growth from basic analytics to model development

<table border="1" cellpadding="0" cellspacing="6" style="width:442px;" width="442"> <tbody> <tr> <td style="width:151px;">Job Title</td> <td style="width:273px;">Data Scientist</td> </tr> <tr> <td style="width:151px;">Relevant Experience (in Yrs)</td> <td style="width:273px;"> <ol> <li>Overall 10+ years in IT</li> <li>Strong Experience in Data science projects</li> <li>Strong experience in Machine learning, Deep learning etc.,</li> </ol> </td> </tr> <tr> <td style="width:151px;">Must Have Technical/Functional Skills</td> <td style="width:273px;"> Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data </td> </tr> <tr> <td style="width:151px;">Experience Required</td> <td style="width:273px;"> Programming Skills knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.</td> </tr> <tr> <td style="width:151px;">Roles & Responsibilities</td> <td style="width:273px;">1. Data processing and visualization are essential skills for generative AI projects, as they help you to prepare and analyze the data that you use to train and test your models. 2. Candidate should be able to perform data cleaning, manipulation, augmentation, and normalization using libraries like pandas, numpy, and scikit-learn. You should also be able to create and interpret data visualizations using libraries like matplotlib, seaborn, and plotly. 3. Data processing and visualization can help you to understand the patterns, trends, and features of your data, as well as to identify and debug any issues or errors in your models. 4. Candidate should also be able to use statistical methods and metrics to measure the quality and diversity of the generated outputs, such as mean squared error, KL divergence, inception score, and Fre chet inception distance</td> </tr> </tbody> </table> 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.

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Data Scientist Jobs in Edison, NJ

Senioriii Data ScientistApril 22, 2024

Data Scientist Direct Hire 6 Month RosterApril 22, 2024

Senior Data ScientistApril 22, 2024

Data ScientistApril 21, 2024

Data Scientist Direct Hire 6 Month RosterApril 21, 2024

Senior Data ScientistApril 21, 2024

Senior Data ScientistApril 20, 2024

Senioriii Data ScientistApril 19, 2024

Senioriii Data ScientistApril 15, 2024

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