Data science internship jobs in Delaware - 55 jobs

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Bank of America, Exelon Corporation, or JP Morgan Chase, among other leading organizations in the Wilmington area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelors degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Customer Success - Data Analytics - Investment Operations Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

As the Manufacturing Data Analyst, you will support PPG's Industry 4.0 digital transformation at the Delaware, Ohio coatings manufacturing facility. In this full‑time, on‑site entry‑level role, you will help promote the plant's 2030 Digital Roadmap by applying data analytics, system integration, and latest technologies. Reporting directly to the Manufacturing Systems Manager you will apply technology to improve real‑world manufacturing operations and while working with data, troubleshooting issues, and contributing to continuous improvement projects. Key Responsibilities Collect, clean, analyze, and organize data from multiple sources to prepare accurate operational and performance reports. Troubleshoot issues related to data reporting, SQL queries, software applications, or other digital manufacturing tools. Develop data systems and dashboards using programming skills (e.g., C#, Python, Java, JavaScript/TypeScript, Angular). Contribute to system integration efforts involving relational databases such as MS SQL, using tools like Entity Framework or Dapper where applicable. Create clear, structured documentation for developers and end-users, ensuring changes and system behavior are easy to understand. Gather and communicate end‑user feedback to support continuous improvement of digital tools and workflows. Use Azure DevOps or similar version control/project management tools to track work, manage code changes, and support collaborative development. Qualifications Experience working with large datasets, including data cleaning, sorting, and analysis. Proficiency with Microsoft Excel for data manipulation and reporting. Familiarity with SQL or other relational databases and comfort writing basic queries. Programming experience in at least one language (object‑oriented preferred), including exposure to any of the following: C#, Python, Java, JavaScript, TypeScript, HTML, and Angular 19+ Understanding of database or development frameworks such as MS SQL, Entity Framework, or Dapper. Follow structured development practices using tools like Azure DevOps or similar version control systems. Prior experience working in manufacturing environments. #LI-PRT1 #LI-Onsite #Benefits - Medical, Dental, Vision, and 401K PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply. Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

PBF Energy Inc. (NYSE:PBF) is one of the largest independent refiners in North America, operating through its subsidiaries, oil refineries and related facilities. We are seeking a talented Contracts & Data Analyst to join our team as a pivotal member that would play a key role here at PBF Energy. This role would be located onsite at our refinery in Toledo, OH or at one of our other locations. The Contract and Data Analyst plays a key role in supporting the organization's business operations by managing contract lifecycles, contract audits, advanced data analytics, and opportunity identification to drive informed decision-making. This position requires a unique blend of strong contractual expertise, deep analytical capability, and hands-on experience with procurement systems, including the ability to write and modify code to optimize system functionality. PRINCIPAL RESPONSIBILITIES: * This position is responsible for reviewing and analyzing spend data, optimizing sourcing strategies, and developing process improvement indicators to enhance contract performance and overall business outcome. * Work cross-functionally with procurement teams, refinery stakeholders, key suppliers, and other internal partners to ensure data integrity, process efficiency, and strategic alignment throughout all contractual activities. * Conduct detailed contract audits to verify compliance, validate pricing and terms, and identify risk areas or deviations. * Maintain accurate contract records and data repositories, ensuring all documentation is current and compliant with internal policies. * Partner with Legal, Procurement, and business stakeholders to resolve contractual discrepancies and support negotiation strategies. * Develop advanced analytical models to identify cost-saving opportunities, contract leakage, supplier performance trends, and category insights. * Perform complex data extraction, transformation, and analysis using tools such as SQL, Python, Power BI, Tableau, or similar platforms. * Create and maintain dashboards, reports, and data visualizations that support strategic decision-making. * Develop dashboards and reports to track KPIs, supplier performance, and procurement efficiency. * Conduct ad-hoc deep-dive analyses on spend, contract utilization, sourcing opportunities, and operational performance metrics. * Assist in digital transformation efforts related to procurement systems and analytics platforms. * Support configuration, maintenance, and continuous improvement of procurement platforms (e.g., SAP Ariba, Coupa, Jaggaer, Ivalua). * Utilize and maintain procurement and analytics tools (e.g., SAP, Power BI, Ariba, or similar) to monitor performance ensuring seamless strategy execution, track savings, and report out on KPIs such as cost avoidance, cycle time, compliance, and supplier performance across the organization. * Write or modify system code, scripts, and workflows to optimize system performance and automate processes. * Troubleshoot system issues and collaborate with IT, vendors, and cross-functional teams to resolve root causes. * Lead or support system enhancement projects, including testing and user training. * Build detailed cost models and financial analyses to evaluate sourcing scenarios, total cost of ownership, contract proposals, and supplier offerings. * Conduct opportunity assessments across multiple categories, identifying efficiency improvements, cost reduction initiatives, and value-creation levers. * Develop business cases and present findings to leadership to support strategic decisions. * Support sourcing initiatives with data-driven insights and cost-benefit analyses. * Work with internal stakeholders to define procurement requirements and ensure contract compliance. * Collaborate with suppliers to resolve issues, negotiate terms, and ensure service level expectations are met. * Assist in supplier evaluations and performance reviews based on contractual obligations and performance data. * Identify opportunities to streamline procurement processes and improve contract workflows. * Support the development and implementation of procurement policies, tools, and best practices. * Evaluating internal stakeholder feedback and implementing changes to enhance the category services. * Build strong relationships with internal stakeholders, driving supplier development, innovation, and value creation while maintaining accountability for safety, quality, and performance. * Stay abreast of industry trends, emerging technologies, and macroeconomic factors (e.g., tariffs, inflation, labor shortages) that may impact supply markets and sourcing strategies to provide recommendations to senior management. * Provide input to annual category planning, budget forecasting, and strategic supplier reviews with senior leadership. QUALIFICATIONS: * Bachelor's degree in Business Analytics, Supply Chain, Finance, IT or a related field or equivalent Procurement Contracting/Purchasing experience. * Strong proficiency in Microsoft Excel and data visualization tools * Familiarity with procurement or ERP systems (e.g., SAP, Oracle, Coupa, Ariba) * 3 plus years of experience in contract administration, procurement analysis, or data analytics (experience in industrial, manufacturing, or energy sectors preferred). * Demonstrated expertise in advanced analytics, financial modeling, and data interpretation. * Experience supporting sourcing or category management initiatives through data-driven insights. * Strong understanding of contract management principles, procurement policies, and supplier performance metrics. * Ability to analyze large data sets to identify trends, risks, and cost-saving opportunities * Experience working in a centrally led procurement model with enterprise-wide scope * Ability to conduct market research. * Flexibility to adapt to the changing market and organizational priorities. * Excellent communication and negotiation skills to collaborate effectively with cross-functional teams and external stakeholders. * Strong analytical skills with attention to detail, system-savvy, ability to transform complex data into actionable business insights that drive cost savings and process improvement preferred * Proficiency in data management and visualization tools, * Willingness and ability to travel up to 25% of the time to support operations across multiple facilities in the U.S. This position is on site 5 days a week. ONLY CANDIDATES MEETING THE ABOVE REQUIREMENTS WILL BE CONSIDERED FOR SERIOUS CONSIDERATION, PLEASE INCLUDE YOUR SALARY REQUIREMENTS CA Job Posting Requirement: The salary range for this position is $72,815.60- $124,989.84. NJ Job Posting Requirement: The salary range for this position is $72,815.60- $116,172.65. The compensation range listed in this posting is in compliance with applicable state law. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills and internal peer equity will be considered in determining the selected candidate's compensation. Salaries at the time of hire are typically in the lower to middle portion of the above range in order to provide the opportunity to reflect future performance-based increases. In addition to salary, PBF offers a comprehensive benefits package which includes bonus eligibility, health care, retirement benefits, and paid time off. We thank all respondents for their interest in PBF Holding Company LLC ("PBF Energy"), however, only those selected for an interview will be contacted. Please no phone calls or emails to any employee of PBF Energy about this requisition. Placement agencies or recruiters need not respond. All resumes submitted by search firms to any employee of PBF Energy via email, the Internet or in any method without a valid written search agreement will be deemed the sole property of PBF Energy. No fee will be paid in the event the candidate is hired by PBF Energy as a result of the referral or through other means. PBF Energy is an equal opportunity employer. We are committed to creating a diverse, inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex, gender, gender identity or expression, sexual orientation, reproductive health decision making, national origin, ancestry, genetic information, physical or mental disability, medical condition, marital status, age, veteran and military status, or any other status protected by applicable law. We are committed to providing reasonable accommodations as required by law. #LI-EG1

Collabera Inc (Staffing Firm). We are based out of Morristown, NJ and we have been providing contingent labor to our clients for last 25 years. In 2015 we placed more than 6,000 contractors across select 100+ clients that we service. End client for this project is a large legal organization with operations in more than 100 countries and has more than 50,000 employees around the world. For eight consecutive years, Fortune has named this company as World's ‘Most Admired Companies to work for'. Job Description Execute data profiling and data quality testing and reporting tasks as assigned Help execute the firm wide data vision and strategy as pertains to all Data Profiling, and Data Quality Testing and Measurement capabilities Establish best practice, standards, policies and procedures to utilize data profiling and data quality tools to proactively identify data quality issues Provide guidance and assistance to technologists to help develop requirements, Data Quality rules and scorecards. Provide guidance to Data Stewards and Data Analysts to utilize Data Quality tools in in the adoption of data quality standards, policies and procedures Work with DQ Issues groups and LOB stakeholders to define best practices for DQ Profiling and Measurement. High quality focus on ensuring Data Profiling, Testing and Measurement standards are coherent, accurate and timely at all time Strong partnership with CDO, LOB and Technology support groups to ensure a high quality product and operating environment In time,help develop a FW DQ “Lab” to advise help smaller teams come on board and utilize Firmwide Data Quality Testing & Profiling capabilities Qualifications Qualifications Bachelor degree or equivalent work experience (3-5 yrs) 1 - 3 years experience in a Data Governance organization 3 - 5 years Project management experience Prior Experience working with Data Quality Profiling, Execution and Measurement is highly desirable Excellent prioritization, planning, organization and time management skills Proven ability to work across diverse groups, build consensus and execute the agreed plans Excellent communication skills, both written and oral Ability to structure communication to various different levels (e.g. seniority) and types (e.g. Technology, Operations, Finance) of audience Able to influence diverse stakeholder groups Ability to quickly understand a complex matrix of systems across the infrastructure and their interdependencies and relationships Ability to adapt to opportunities presented through change Excellent interpersonal skills, comfortable at interacting with and communicating to all levels of Management Quick learner both technical knowledge and systems Must be detail oriented, highly responsible and able to work with tight deadlines Preferred experience: Prior Experience working with Data Quality Profiling, Execution and Measurement tools like Informatica Data Quality (IDQ) or Ab Initio Data Quality Environment (DQE) is highly desirable Prior Experience in Finance, Accounting or Finance Operations is desirable Project management, Application Development, Information Architecture, and MS Excel/VBA experience is a plus Must be able to coach, provide feedback and guide others Must be detail oriented, highly responsible and able to work with tight deadlines Additional Information Dianne Narvaez ************

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist, Analytics (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Search for folks with 3-5 year experience with Good Excel skills - Pivot Tables etc. · License management · Inventory management · Tracking · Some exposure to Market data and IB is a huge plus · Must be Local - DE, PA, NJ and nearby Additional Information Send me your resumes at vince@alphait. us Pozdrawiam / With best regards, Alpha Technologies Inc (USA) Vince Taylor Sr Technical Recruitment Specialist

Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources Analyze data sets to identify quality issues and implement effective cleansing strategies Create and document detailed data lineage, ensuring traceability between data fields and sources Build and maintain high-quality metadata to enable data discoverability, understanding, and governance Support data integration and migration efforts as part of the industrialization process Ensure data quality, integrity, and compliance with governance policies within assigned domains Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills Three years in data management, data engineering, data scientist or related roles Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration Experience with data security, privacy regulations, and data-driven decision-making Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports Collaborative team player with experience working across business and technical stakeholders Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills Experience with advanced data visualization platforms Experience in financial services or similar regulated industries Experience with data cataloging and data discoverability platforms

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Position: 1 Job Title: Analytics - Principal Consultant 100% Travel Duration : Full Time Permanent Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Must Have Skill/Competency: •Domain - Retail and/or CPG domain Knowledge •Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement •Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting •Data Understanding of Sales, Inventory, Store, Product and Promotion Data •Ability to translate business requirement to analytical model •Communicate directly with business users •Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview Nice to have Skill/Competency: •Hadoop, Spark, Python •Tableau/Spotfire/Qlikview •Nielsen/IRI/Market Research Data understanding Job responsibilities: •Understand business requirement from client and translate it to appropriate Analytics use cases •Work in a team environment to deliver analytics solution to client •Define new business metrics as required and build measurement systems as needed •Enjoy designing, develop and deploy state of the art, data-driven predictive models •Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, •Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title: Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Qualifications Preferred • MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics • 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms • Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software • Knowledge of Perl, Python or Ruby; experience with Java, C or C++ • Experience with Apache Spark and Scala • Knowledge of Clojure or Julia for statistical learning and optimization algorithms • Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc. • Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities • Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data • Define new business metrics as required and build measurement systems as needed • Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems. • Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities • The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

Description: We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker. Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase through build/deploy. This individual will have a chance to be a TGS full time employee. Top Skills' Details10+ years ML Architect AWS Snowflake python Strong Deployment skills Recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. Our vision for digital, data analytics and AI: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack About Us Ecclesiastes provides highly skilled IT professionals to fill recruitment needs or offer solutions and support to complex tasks. We realize that most organizations have an understanding of where they want to go, but need assistance in creating and implementing a technology plan that supports their business goals. We utilize our years of experience, relationships, and skills to support our clients to help them achieve success. Our technology competence and business understanding ensure the efficiency, manageability, scalability, security and robustness of our clients' IT systems, meeting all their requirements in today's highly competitive environment. Vision Ecclesiastes will inspire its employees to be the best they can be. We will engage in sustainable practices and anticipate the needs of our customers. We will maximize return to the stockholders while still maintaining quality in our products. Mission Ecclesiastes aims to grow by expanding its relationships with existing clients, appending new clients, providing market-driven services, and adding personnel. Ecclesiastes is today one of the noted upcoming IT and consulting services company and intends to maintain profitability within an acceptable band. Careers We're so glad you're here. Wherever you are on your career journey, at Ecclesiastes the work you do will make an impact-on the lives of our customers, on the communities we support, and on the colleagues who drive our mission forward. Because people are the backbone of what we do and their total satisfaction is as important to us as our bottom line. At Ecclesiastes, we value the creative, the curious, and the conscientious because we believe it is the character of an individual that has the power to turn our ambitious ideals into shared realities. So come help small and medium sized businesses fulfill their potential as we encourage you to fulfill your own. Come join a company that values the individual, supports the underdog, and encourages growth. Hear why others already have.

The Data Scientist will be responsible to create product reliability models and advanced analytics that drive strategic decisions about product improvements. This role will collaborate closely with cross-functional teams, including Engineering, Product Management, Quality, Services, and IT, to develop and deploy data-driven solutions that address complex customer challenges. You should understand the impacts of environmental and other field conditions as they relate to product reliability. In this role, you should be able to apply mathematical and statistical methods to predict future field performance by building product reliability models using software tools. PRINCIPAL DUTIES & RESPONSIBILITIES: Analyze product reliability requirements Create predictive models for field performance and product reliability Assist in design of experiments and analysis to understand impacts of different design decisions and test results Correlate predictive models with test results and field data REQUIREMENTS: Bachelor's Degree in Math, Statistics, Data Science, Computer Science, Reliability Engineering, or equivalent experience 1-5 years of experience Basic knowledge in power/electrical engineering; AC and DC power Basic knowledge in large- and small-scale cooling systems LabVIEW, Python, or other coding and modeling language Minitab or other statistical software tools Power BI or other data visualization tools Travel 15%

Must Have Technical/Functional Skills Primary: Artificial intelligence, ML, LLM Secondary: Data science, Python, NLP, Agile tools Experience: 10+ Roles & Responsibilities Experience with NLP, deep learning, or time series analysis. Experience deploying models to production environments. Knowledge of regulatory requirements and compliance in banking and finance. Familiarity with MLOps practices and tools. Experience with Agile methodology and tools (JIRA or Rally) Proven experience as a Data Scientist in Banking or a similar domain Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering. Strong knowledge of statistics, machine learning, and data mining techniques. Experience with data visualization tools (e.g., Tableau, Power BI). Experience with Big Data Platforms (Hadoop). Familiarity with SQL and working with relational databases. Excellent problem-solving, communication, and collaboration skills. Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Analyze large financial datasets to extract insights and support business decisions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations through reports, dashboards, and presentations. Work with data engineers to ensure data quality and pipeline reliability. Salary Range- $120,000-$135,000 a year

JobID: 210677581 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $142,500.00-$210,000.00 Transform business challenges into data-driven solutions-your insights will fuel growth and competitive advantage. As a Data Scientist on the Commerce Payments product team, you'll be responsible for identifying, developing, and executing data and analytics solutions for embedded payments, including digital wallets and card-on-file in ecommerce. You will work closely with quad partners (Product, Technology, Operations, and Risk) to deliver actionable insights and support data-driven decision-making. Job Responsibilities * Collaborate with quad partners to understand business needs and translate them into analytics requirements and solutions. * Lead the design, development, and implementation of advanced analytics solutions, including dashboards, predictive models, and reporting tools. * Communicate analytics findings and recommendations to quad partners and other stakeholders. * Build strong relationships across Product, Technology, Design, and Risk teams to ensure alignment and impact. * Manage, mentor, and develop junior analytics team members, fostering a collaborative and high-performance culture. * Ensure data integrity and quality in all analytics deliverables. * Partner with Technology and Data teams to maintain secure and compliant data practices. * Stay current with analytics best practices, tools, and industry trends. * Identify opportunities to enhance analytics processes and methodologies. Required Qualifications, Capabilities, and Skills * Bachelor's or Master's degree in Data Science, Analytics, Statistics, Computer Science, or related field. * 6+ years of experience in analytics, data science, or business intelligence, with at least 2 years in a people management or team lead role. * Proficiency in analytics tools and technologies (e.g., SQL, Python, R, Tableau, Power BI). * Experience supporting product teams * Strong communication and stakeholder management skills. * Demonstrated ability to lead and develop analytics team members. This role is not eligible for visa sponsorship or relocation assistance

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Search for folks with 3-5 year experience with Good Excel skills - Pivot Tables etc. · License management · Inventory management · Tracking · Some exposure to Market data and IB is a huge plus · Must be Local - DE, PA, NJ and nearby Additional Information Send me your resumes at vince@alphait. us Pozdrawiam / With best regards, Alpha Technologies Inc (USA) Vince Taylor Sr Technical Recruitment Specialist

Join a dynamic team dedicated to enhancing customer experiences through advanced analytics and innovative strategies. As part of our Data & Analytics organization, you'll collaborate across functions and channels to deliver impactful solutions and drive career growth. As a Data Scientist Vice President in Customer Loyalty Analytics team within the Data & Analytics organization, you will partner with Customer Experience and Strategic teams to deliver insights and develop strategies that improve customer journeys. You will be involved in all phases of the analytics lifecycle, from data development to presenting findings, and play a key role in shaping the customer experience. You will leverage advanced analytics techniques and a variety of analytical applications to uncover trends and opportunities. Your work will support business decisioning, optimize performance, and foster a collaborative, high-impact team culture. Job Responsibilities Lead partnerships with Customer Experience Groups to advise on strategies and deliver analysis for decisioning and prioritization. Facilitate identification of KPIs, trend analysis, and segmentation to improve business performance. Utilize advanced analytics techniques, including machine learning and predictive modeling, to identify trends and opportunities. Stay updated on AI, Machine Learning, Large Language Models, and Generative AI research trends to enhance analytical capabilities and streamline processes. Leverage analytical applications such as SQL, Alteryx, Python, Tableau, and Adobe Analytics to analyze complex data sets. Prepare and deliver presentations with compelling data narratives and insights for executives and business reviews. Collaborate with data management, strategy, and analytics teams to optimize insights and share best practices. Provide mentorship and oversight for junior data analysts to build a more impactful working culture. Required Qualifications, Capabilities, and Skills Five years of related experience. Bachelor's degree in a quantitative or related field. Technical knowledge of data management, governance, big data platforms, and data architecture. Proficiency in AI, Machine Learning, Large Language Models, and Generative AI. Structured thinker and effective communicator with excellent written communication skills. Ability to present fact-based recommendations in a clear, logical, and concise way. Superior written and oral communication skills; ability to communicate with all levels of management and partners. Proactive, results-driven, with a proven track record of execution. Demonstrated people management and team-building skills. Preferred Qualifications, Capabilities, and Skills Master's degree and/or PhD in a relevant field. Experience with advanced analytics applications such as SQL, Alteryx, Python, Tableau, and Adobe Analytics. Experience in customer experience analytics or related fields. Experience mentoring and developing junior analysts.

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Position: 1 Job Title: Analytics - Principal Consultant 100% Travel Duration : Full Time Permanent Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Must Have Skill/Competency: •Domain - Retail and/or CPG domain Knowledge •Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement •Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting •Data Understanding of Sales, Inventory, Store, Product and Promotion Data •Ability to translate business requirement to analytical model •Communicate directly with business users •Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview Nice to have Skill/Competency: •Hadoop, Spark, Python •Tableau/Spotfire/Qlikview •Nielsen/IRI/Market Research Data understanding Job responsibilities: •Understand business requirement from client and translate it to appropriate Analytics use cases •Work in a team environment to deliver analytics solution to client •Define new business metrics as required and build measurement systems as needed •Enjoy designing, develop and deploy state of the art, data-driven predictive models •Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, •Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title: Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Qualifications Preferred • MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics • 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms • Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software • Knowledge of Perl, Python or Ruby; experience with Java, C or C++ • Experience with Apache Spark and Scala • Knowledge of Clojure or Julia for statistical learning and optimization algorithms • Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc. • Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities • Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data • Define new business metrics as required and build measurement systems as needed • Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems. • Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities • The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionDescription: We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker. Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase through build/deploy. This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML Architect AWS Snowflake python Strong Deployment skills Recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. Our vision for digital, data analytics and AI: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack

Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities + Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs + Bridge scientific research and software engineering, applying expertise in both domains + Collaborate with engineering teams to lead the design and delivery of GenAI products + Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications + Integrate GenAI solutions with enterprise platforms using API-based methods + Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails + Align ML problem definition with business objectives + Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills + Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics + Ten years of experience in an individual contributor role in ML engineering + Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms + Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models + Experience integrating GenAI solutions with enterprise platforms via standardized API patterns + Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails + Excellent grasp of computer science fundamentals and SDLC best practices + Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills + PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics + Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray + Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints + Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed *** Relocation assistance is not available for this role. Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans **Base Pay/Salary** Jersey City,NJ $164,350.00 - $260,000.00 / year; Chicago,IL $137,750.00 - $235,000.00 / year