Data engineer jobs in Glasgow, DE

Key Responsibilities 1. Design and Build Data Solutions Architect and implement modern data platforms using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Data Lake Storage, and Cosmos DB. Develop and maintain data pipelines for ingestion, transformation, and storage. Design data models and schemas to support business intelligence and advanced analytics. 2. Data Governance and Compliance Implement data security, privacy, and compliance measures. Establish governance frameworks for data quality and lifecycle management. 3. Collaboration and Leadership Partner with business stakeholders, data scientists, and engineering teams to align architecture with business objectives. Provide technical leadership, mentoring, and enforce best practices for data engineering teams. 4. Performance and Optimization Monitor system performance and troubleshoot issues. Optimize architecture for cost efficiency, scalability, and high availability. 5. Innovation and Enablement Stay updated on emerging Azure technologies and industry trends. Conduct workshops and enablement sessions to drive adoption of Azure data solutions. Required Skills and Experience Technical Expertise Strong proficiency in Azure services: Data Factory, Synapse, Databricks, Data Lake, Power BI. Hands-on experience with data modeling, ETL design, and data warehousing. Knowledge of SQL, NoSQL, PySpark, and BI tools. Architecture and Strategy 7+ years in data architecture roles; 3+ years with Azure data solutions. Familiarity with Lakehouse architecture, Delta/Parquet formats, and data governance tools. Preferred Qualifications Experience in regulated industries (e.g., Financial Services). Knowledge of Microsoft Fabric, Generative AI, and RAG-based architectures. Education & Certifications Bachelor's or Master's degree in Computer Science, Information Systems, or related fields. Certifications such as Microsoft Certified: Azure Solutions Architect Expert or Azure Data Engineer Associate are highly desirable.

Role- Cloud Data Architect (Google Cloud BigQuery) Contract The Cloud Data Architect will serve as the key technical leader responsible for the comprehensive end-to-end data architecture, design, and governance of the Google Cloud BigQuery platform, ensuring scalable, secure, and cost-effective analytics solutions. Skills: Sqoop, DataFlow, DataProc, Cloud Pub/Sub, Cloud Composer, PySpark, Python, GCS, BigQuery, DAG, DataPlex Certifications: GCP Cloud Architect GCP Professional Data Engineer Exp: 10-16 JD: Data Architect - Architectural Strategy: Design and implement a scalable, cost-optimized BigQuery architecture leveraging advanced features such as partitioning, clustering, and materialized views to maximize performance and minimize costs - Data Modeling: Develop robust enterprise data models and semantic layers to support comprehensive analytics, reporting, business intelligence, marketing campaign optimization, and advanced data science use cases - Business Engagement: Act as a trusted advisor to executives and business teams, translating business objectives into technical solutions that drive measurable outcomes - Data Management: Define and implement master and reference data strategies to ensure data consistency, accuracy, and governance across multiple domains - Data Quality Automation: Lead initiatives to automate data quality assurance by creating business transformation rules, automated checks, and reconciliation frameworks to uphold high data integrity standards - Testing & Validation: Collaborate with QA teams to review and validate test cases, ensuring full coverage of business use cases and requirements, and rigorously assess data quality results - Integration & Deployment: Coordinate across multiple teams to manage system dependencies, validate integration points, and support seamless system deployment activities - User Acceptance Testing (UAT) & Production Rollouts: Work closely with business and IT stakeholders to coordinate UAT signoffs and oversee production cutovers, ensuring smooth deployment with well-defined fallback and contingency plans - Governance & Security: Establish and enforce data governance standards including IAM role configurations, encryption policies, metadata management, and data lineage tracking - Cost & Performance Optimization: Continuously monitor BigQuery usage and performance metrics to recommend and implement strategies for query optimization, and storage lifecycle policies to balance performance with cost efficiency Key Deliverables Enterprise Data Architecture Blueprint covering the full data lifecycle from ingestion through to consumption. Comprehensive Data Models reflecting enterprise needs and governance standards. Integration & Deployment Plans with dependency tracking. UAT and Production Rollout Strategy aligned with business and IT needs.

Hi, I hope you are doing well! We have an opportunity for Azure Data Architect with one of our clients for Malvern PA. Please see the job details below and let me know if you would be interested in this role. If interested, please send me a copy of your resume, contact details, availability, and a good time to connect with you. Title: Azure Data Architect Location: Malvern PA Terms: Long Term Contract JOB DESCRIPTION: Required Skills and Experience Technical Expertise Strong proficiency in Azure services: Data Factory, Synapse, Databricks, Data Lake, Power BI. Experience with data modeling, ETL design, and data warehousing. Knowledge of SQL, NoSQL, PySpark, and BI tools. Architecture and Strategy 7+ years in data architecture roles; 3+ years with Azure data solutions. Familiarity with Lakehouse architecture, Delta/Parquet formats, and data governance tools. Soft Skills Excellent communication and stakeholder management. Ability to lead cross-functional teams and influence technical decisions. Preferred Experience in regulated industries (e.g., Financial Services). Knowledge of Microsoft Fabric, Generative AI, and RAG-based architectures. Education Bachelor's or Master's degree in Computer Science, Information Systems, or related fields. Certifications like Microsoft Certified: Azure Solutions Architect Expert or Azure Data Engineer Associate are highly desirable. Thank you! Amit Jha Senior Recruiter | BeaconFire Inc. 📧 ***********************

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************* Job Title: Angular Java(Angular 70% and Java Sprintboot 30%) Work Location: Dallas TX/ Newark, Delaware/ Pennington, NJ/ Charlotte, NC Duration: Full time Responsibilities Design develop test and deploy web applications using Java and Angular Collaborate with product managers and UXUI designers to translate requirements into technical specifications Maintain code quality and ensure responsiveness of applications Debug and resolve technical issues across the full stack Participate in code reviews to ensure code quality and consistency Optimize application performance and scalability Stay updated with emerging trends and technologies in full stack development Required Skills: Java Angular HTML, CSS, JavaScript TypeScript Spring Framework SQL/NoSQL databases Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Experience in the following: Project Task Estimation Resource Scheduling Risk and Issue Management Waterfall and Agile methods Work breakdown and critical path method Stakeholder Management Critical Thinking (anticipates problems and establishes methods to mitigate project/program risks) Benefits Management Budget/Financial Management including Business Case completion Executive communications for senior management Prompt Engineering and Refinement - Design, test, and optimize prompts to improve LLM accuracy and relevance. - Analyze model responses to identify areas for prompt improvement. - Collaborate with internal teams to develop prompt templates and best practices. - Maintain a repository of effective prompts and document changes for future reference. Documentation and Reporting - Prepare clear documentation of processes, findings, and recommendations. - Assist in drafting user guides, FAQs, and training materials for regulatory reviewers. Collaboration and Communication - Work closely with internal teams (AI/ML, compliance, product) to align on requirements and priorities. - Participate in regular project meetings and status updates.

Sr. Apply now, read the job details by scrolling down Double check you have the necessary skills before sending an application. Software Data Engineer (Master's or equiv. deg. w/1 yr exp.) Exp. to include: installing, supporting & configuring operating systems(CentOS, Ubuntu, Windows); & work/w: TCP/IP, ETL, DBT, SnowSQL, JSON, Python scripts, HQL queries, Hadoop, Snowflake, HIVE, SQL, & SQL Server. Software Developers (Master's or equiv. deg. w/3 yr exp. Bachelor's or equiv. degree w/5 yr exp) Exp. to include: (A) design & develop applications; work/w: AWS, Informatica Power Center, Java, J2EE, Oracle 19c, SQL Server, O-Data, Angular, REST Web Service & Plainsware. OR (B) design & develop applications; & xevrcyc work/w: SharePoint, .Net, Entity Framework, Web API, AngularJS, Jquery, SQL Server, Oracle, REST, Java Script, Informatica, Tableau, ETL and UCT. Send resume: Eigen X, LLC, 1030 Continental Drive, King of Prussia, PA 19406.

Senior Full Stack Developer - Direct Hire Must be a U.S. citizen or green card holder - Visa sponsorship/transfer not available. Join a leading Software provider dedicated to transforming the financial services industry as a full-time Senior Full Stack Developer. My client is looking for a detail-oriented individual with a strong background in JavaScript, modern React packages, and front and back-end coding. This individual should have confidence and the ability to approach and embrace projects with both functionality and user experience in mind. The Full Stack Developer will be helping create risk management software primarily for credit unions and banks. The software integrates with a large community of financial services, via REST, SOAP and daily batch files. This development is being done in an environment with the latest technologies including .NET Core, React, Azure and the latest libraries. As a Full Stack Developer, the use of AI Development tools such as Cursor, ChatGPT and Code Rabbit are expected to be used daily to provide efficiency and increase productivity. Key Responsibilities Broad experience designing, programming, and implementing large information systems Ability to decompose complex problems independently into workable solutions Excellent analytical and problem-solving skills Excellent organization and time management skills Adhere to SOLID design principles when designing and producing high quality code Monitor overall project progress to ensure consistency with initial platform design Conduct code review and pair programming sessions Research/troubleshoot issues when in QA and/or production to help maintain a high-quality technology platform Determine root cause for complex software issues Participate in SCRUM team sessions, providing status updates of work Utilize Cursor to generate code, unit tests and review code prior to pushing to the code repository Remain current on new technologies; evaluate and make recommendations as necessary Other duties as assigned Skills And Experience 7+ years' experience in designing, debugging and implementing software applications 5+ years' experience with .NET web applications - C# and .NET Core 4+ years' experience with database technology such as SQL Server including debugging queries, writing stored procedures and views 2+ years' experience with ReactJS, React and common React packages Familiarity with TypeScript Experience with GIT and familiarity with the use of Repositories in Azure DevOps Use of a Caching Layer like Redis Experience creating UI/UX Experiences with a modern JavaScript Framework Independently learn new AI technologies and recommend their usage Ready to make a significant impact at a dynamic organization? If you're passionate about development and delivering reliable solutions, we encourage you to apply now and take the next step in your career. How To Apply We'd love to see your resume, but we don't need it to have a conversation. Send us an email to ************************* and tell me why you're interested. Or feel free to email your resume. Please include Job#19660. Checkout all our open jobs: ************************

Day-to-Day Responsibilities: Develop and deploy full-stack applications using AWS services (Lambda, S3, DynamoDB, ECS, Glue, Step Functions, and more). Design, build, and maintain REST and GraphQL APIs and microservices using Python, Java, JavaScript, and Go. Apply DevOps principles with CI/CD pipelines using Bamboo, Bitbucket, Git, and JIRA. Monitor product health and troubleshoot production issues with tools like Honeycomb, Splunk, and CloudWatch. Collaborate with stakeholders to gather requirements, present demos, and coordinate tasks across teams. Resolve complex technical challenges and recommend enterprise-wide improvements. Must-Haves: Minimum 5 years of related experience in software development. Proficient in AWS services, full-stack development, and microservices. Experience with Python, Java, JavaScript, and Go. Strong DevOps experience and familiarity with CI/CD pipelines. Ability to learn new business domains and applications quickly. Nice-to-Haves: Experience with monitoring/observability tools like Honeycomb, Splunk, CloudWatch. Familiarity with serverless and large-scale cloud architectures. Agile or Scrum experience. Strong communication and stakeholder collaboration skills.

Role: AWS Developer Project: GIDS Investment Product Valuations Taxonomy Domain:- GIDS investment (“Investment product master,” “security master,” “reference data,” “pricing and valuations,” “NAV calculation,” “fund accounting,” “portfolio valuations,” or “taxonomy/ontology” experience in financial services.) Prior work with asset managers, custodians, or banks where they modeled funds, ETFs, accounts, benchmarks, or instrument hierarchies and exposed this via services or data platforms. Strong hands-on experience in designing, developing, and deploying scalable full-stack applications using AWS technologies (S3, DynamoDB, Postgres, Lambda, CloudFormation, Event bridge, IAM, Glue, Athena). · Experienced in API design (REST, GraphQL/Super Graph), and microservices. · Experienced in creating REST APIs using Python, JavaScript, and Go. · Experienced in development using DevOps principles, tools, and continuous delivery pipelines, including Bamboo, Bitbucket, JIRA, and Git. · Provides technical expertise and completes complex development, design, implementation, architecture design specification, and maintenance activities. · Monitor product health in test and production environments using Honeycomb, Splunk, and AWS CloudWatch. · Responsible for elevating complex code into the development, test, and production environments. · Resolves highly complex, elevated issues and recommend enterprise-wide improvements and solutions. · Actively work with the business and stakeholders over the requirements and giving demos after the development and reach out to different teams to accomplish

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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#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: $136,000-$170,000 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 (**************************************** .

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 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

JobID: 210678919 JobSchedule: Full time JobShift: Day Base Pay/Salary: Jersey City,NJ $114,000.00-$170,000.00 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

🕒 Work Hours: 8:00 AM to 5:00 PM, Monday through Friday 💲 Salary Range: $60,000 - $80,000 per year Make the Right Connection-Build Your Career with Dixon! Are you a highly motivated and experienced Data Engineer ready to build the next generation of data infrastructure that powers critical business decisions? The Dixon Group is looking for a Data Engineer to join our Data Team in Chestertown, MD! In this role, you will take ownership of identifying, developing, and optimizing robust, scalable ETL/ELT solutions for internal and external data sources. In this high-impact role, you will be crucial in ensuring that our data is clean, reliable, and accessible for advanced analysis and decision-making across the company. You'll move beyond simple maintenance, leveraging T-SQL, Python (Pandas), SSIS, and REST APIs to automate repeatable data processes and continuously enhance performance. The Dixon Group is a global, family-owned manufacturing company with a history of over 100 years of operation in the U.S.A. Based in Chestertown, Maryland, with distribution centers located worldwide. The company has a diverse workforce and a strong values-based culture. As an innovator in the hose coupling industry, our mission is to provide real solutions for our customers while fostering a supportive and collaborative work environment. At The Dixon Group, we value the contributions of our Military Veterans and proudly employ our nation's heroes. Veterans are strongly encouraged to apply. 📊 What You'll Do: Use various tools and methods to automate repeatable ETL processes using a combination of SSIS, T-SQL, Python and REST APIs. Use SSMS and T-SQL to develop complex queries and data sources to deliver comprehensive data sets from multiple sources. Write SQL queries and stored procedures to support internal Dixon applications. Assist Business Intelligence Engineers with back end query writing. Conduct data verification and validation for team members. Performance tune ETL and report processes and queries Develop algorithms to find insights from various data analysis techniques to include statistical analysis and Machine Learning processes. As a member of the Data Team, the ideal candidate will be able to assist Database Administrators with physical DBA tasks such as backup and restore, query tuning, encryption, auditing and regular maintenance. Effectively communicate with technical and non-technical team members. 🎯 What We're Looking For: A Bachelor's degree in a quantitative field such as Data Analytics, Mathematics, Applied Mathematics, Information Systems, Business, or Economics, or a closely related technical field, is a mandatory prerequisite for this job role. 5-10 years of experience in a Data Engineer, Data Science or Business Analytics role. Experience in manufacturing or distribution industries preferred. T-SQL Expertise: Ability to develop and optimize complex T-SQL queries and data sources for multi-source data sets. Python Proficiency: Strong experience with Python, especially Pandas and other ETL libraries. Familiarity with Machine Learning libraries: Matplotlib, SciKit-Learn, Keras, and TensorFlow. Data Tool Mastery: Highly skilled in Tableau/Power BI, SSRS/Crystal Reports, SSMS, Excel, and Access. Knowledge of core data concepts: Database design, ETL, and data warehousing. Experience with version control (e.g., TFS/Visual Studio). Critical Thinking: Strong problem-solving skills to navigate complex data challenges. Communication: Excellent written and verbal communication skills. Adaptability: Highly organized, detailed, and able to adapt quickly to shifting priorities. Proactive & Team-Oriented: Self-motivated team player with a positive attitude, professionalism, and a commitment to customer service and collaboration. Familiarity with manufacturing and/or distribution processes preferred. 🌟 What We Offer: Medical, dental, and vision insurance for you and your family Competitive salary Bonus programs 401K retirement plan Training opportunities Tuition reimbursement Paid vacation, PTO, and holidays Gym reimbursements, and more! Join us and be a part of a team that values your contributions and supports your goals! The Dixon Group is an equal opportunity employer. It is the Company's policy and practice to recruit, hire, train, and promote individuals, as well as to administer all personnel actions, compensation, and benefits, without regard to race, religion, color, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, marital status, ancestry or national origin, age, disability, family medical history or genetic information, veteran status, military service, or any other factors protected by applicable law. This policy extends to all employees and applicants and to all aspects of the employment relationship. The Dixon Group is committed to protecting the privacy rights of its employees and job applicants to the fullest extent required by applicable law. To that end, personal information will be collected solely for those legitimate business purposes recognized by law, and then maintained in a manner consistent with all applicable laws and regulations pertaining to document retention requirements. The Dixon Group does not sell personal information to third parties, and does not share such personal information with third parties except when authorized by law to do so (e.g., in response to a lawful subpoena; mandatory tax reporting; etc.)

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:** $145,000/year to $204,000/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.

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 PhD 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 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.

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 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.