Data engineer jobs in Wilmington, DE

We are seeking an experienced Data Scientist to join our Philadelphia team. This position will develop, test, and oversee the data infrastructure of Asylon's DroneCore systems, including data ingestion, data pipelines, data catalogs, and model learning. Due to the nature of the projects worked on in this position, applicants must be a U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Primary duties include: * Develop, test, and oversee data ingestion requirements, data pipelines, and data catalogs for data of different modalities, including videos, images, dense time-series data, and sparse metrics. * Develop new models to perform prediction and classification tasks, as well as refine and specialize existing models. * Spearhead the development of new data-driven, customer facing features. * Analyze collected data and produce business insights to improve Asylon processes and products. Required Skills and Experience: * Minimum of 5 years of hands-on experience in a Data Science role, with significant focus on real-time or streaming data. * Background in data science, computer science, mathematics, statistics, or related field * Data visualization * Linux * Large, distributed datasets * Creating data pipelines and catalogs * Image and video classification Preferred Experience: * Distributed systems * Cloud computing platforms (Azure, GCP, AWS, etc) * Kubernetes experience * Experience with best practices in data governance, including security, ethics, and compliance. * Leadership experience and experience building a data team * Python Job Type: Full-time Pay: $130,000 - $180,000 Schedule: * Monday to Friday * Weekends as needed Education: * Bachelor's (Required) Work Location: In person Job Type: Full-time Pay: $130,000.00 - $180,000.00 per year Benefits: * 401(k) * Dental insurance * Health insurance * Paid time off * Relocation assistance * Vision insurance Application Question(s): * Are youa U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Yes or No Experience: * Linux: 5 years (Required) * hands-on experience in a Data Science role: 5 years (Required) Work Location: In person

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.

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

AYR Global IT Solutions is a national staffing firm focused on cloud, cyber security, web application services, ERP, and BI implementations by providing proven and experienced consultants to our clients. Our competitive, transparent pricing model and industry experience make us a top choice of Global System Integrators and enterprise customers with federal and commercial projects supported nationwide. Job Description Subject: ETL/BI/Data reports consultants Location: Philadelphia, Pa. Duration: One year plus Qualifications Experience - Must haves! 5+ years coding advanced SQL queries, ETL automation, and stored procedures to support business inquiries 5+ years of demonstrated reporting, analytical, and database experience in a dynamic business environment Advanced BI/Reporting Tool experience (SSRS) required. Experience with transforming complex datasets into relevant visualizations Familiar with relational database technology and terminology Functional Competencies SQL coding proficiency (5+ years) Microsoft Reporting Services (SSRS) - Ability to develop advanced reports, manage subscriptions, etc. Microsoft Integration Services (SSIS) - Ability to manage SQL Server ETL processes / job failures, etc. Relational database development (SQL Server, Teradata) SQL Server - Table, View & Procedure development Teradata environment experience Teradata SQL Assistant experience Excel - Charts, Pivot Tables, Equations, VBA Tableau experience a plus Oracle experience a plus Qualifications Bachelor's degree required (preferably in Information Systems, Business Intelligence, or Computer Science) with related experience, or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired. A sound technical background with the ability to analyze complex data sets, business processes, and quickly adapt to the use of new technologies. Must have excellent communication skills with the ability to share technical capabilities and work cross-functionally between business functions. Additional Information If anyone might be intersted please send resumes to kmarsh@ayrglobal (dot) com or you can reach me direct at **************

JPA Health is a fully integrated marketing, communications and medical communications agency for clients ranging from emerging biotech to established pharmaceutical companies and public health organizations. We work exclusively within the health sector. We share our clients' commitment to making people healthier. In fact, some might say we are obsessed with improving and protecting lives. Check out our sizzle reel! The Role JPA is searching for a Life Sciences, Marketing Analytics Data Scientist, to join our Integrated Intelligence team. You'll blend analytics, applied statistics, and development to transform omnichannel marketing data into models, dashboards, and insights that fuel behavior change. You'll work across teams to design, measure, and optimize life sciences marketing programs across audiences and channels. This position is a full-time, hybrid role reporting to any JPA office (i.e., Boston, Washington, DC, Philadelphia, New York City) 2 days per week and working remotely 3 days per week. Applicants must be authorized to work in the United States without current or future need for visa sponsorship The Responsibilities Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative). Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes. Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify incrementality where feasible. Create dashboards and automated reporting that translate complex results into simple, visual stories for technical and non-technical stakeholders. Plan and analyze A/B and multivariate tests; estimate impact and uncertainty; recommend next-best actions and channel allocations. Partner with engagement specialists and performance analytics teams to translate insights into channel, message, and audience optimizations throughout the campaign lifecycle. Document methods, code, and data dictionaries; champion data quality, reproducibility, and privacy-aware measurement. Present findings to clients; manage timelines and priorities across concurrent projects. About You Our ideal candidate must have: Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, engineering) or equivalent experience. 3-5 years in life sciences marketing analytics, data science, or a related role within an agency or in-house team. Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences. Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL. Strong grasp of experimental design, statistical inference, and causal thinking; able to communicate assumptions and limitations clearly. Experience building automated dashboards and reports; adept at data visualization and storytelling using tools like Tableau and PowerBI. Familiarity with omnichannel datasets and measurements across paid, owned, and earned media. Comfortable working with imperfect data and designing solutions that scale. Excellent communication skills; client-facing presence; collaborative approach with cross-functional partners. What Makes Us Different JPA Health offers you the opportunity to work with purpose as you achieve extraordinary results for our clients. You will elevate your career in an environment that thrives at the intersection of wellness, connection, and compassion. Our mission to help people live healthier lives begins with you. Our approach prioritizes compassion to ensure you and your family flourish. We promote flexibility with adaptable work arrangements for a balanced personal and professional life. Our Collaboration Days are designed to strengthen relationships and enhance well-being. Respect, inclusion, camaraderie, and connection - this is the heart of our agency's ethos. We elevate each other. We work collaboratively. And we push ourselves to think bigger. In addition, JPA Health offers: Paid time off when you need it most: 20+ days PTO, 10 holidays, Sabbatical, bereavement & compassion leave, parental leave, civic duty, volunteer time and year-end office closure. Unlimited access to LinkedIn Learning, internal webinars through JPA's Elevate Institute, tuition reimbursement, paid professional development, and paid learning and development time. An impressive and comprehensive benefits package that supports you and your family's physical, mental and financial well-being. Competitive pay and opportunities to advance. The anticipated starting pay for this role is between $107,000 and $120,000 annually, based on a variety of factors including but not limited to experience, qualifications, and location. You may also be eligible for performance-based bonuses. We review compensation annually and evaluate readiness for promotions every quarter. At JPA Health, we are committed to fostering a culture of Diversity, Equity, and Inclusion (DEI). We believe that our strength lies in the diversity of our team, and we strive to create an environment where every individual feels valued, respected, and heard. We are dedicated to promoting equity in all aspects of our work, ensuring that all employees have equal access to opportunities and resources. We are inclusive, welcoming individuals of all races, genders, sexual orientations, religions, national origins, disabilities, and ages. Our commitment to DEI extends beyond our organization, influencing the work we do and the partnerships we build. We believe that by embracing DEI, we can drive innovation, enhance our services, and contribute to a healthier society. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require an accommodation in order to apply for a position with JPA Health, please contact us for assistance at ******************.

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

Thorogood is an independent, specialized, data and analytics consulting firm that works with some of the biggest and best-known companies around the world. We have offices in London, Philadelphia, Boston, Singapore, São Paulo, and Bangalore, and we work as a global unit to service blue chip customers drawing from the consumer goods, pharmaceutical, insurance, and banking sectors, among others. Together, we compete on the basis of our specialism, our people, our independence, high quality, and our experience delivering assuredly for customers over several decades. We help our customers leverage the latest technologies to make timely, data-driven business decisions. Our multi-skilled teams understand the critical interplay of data engineering, data science, and data visualization. We work across these areas to create business-focused, end-to-end technology solutions robust enough to meet enterprise needs. We recognize the importance of environmental sustainability, both in how we work and in the solutions we build for our clients. Our services span strategy, implementation, advanced analytics services, user empowerment, and support. Additional information about us, our people, what we do, and some of perspectives can be found on our website here. About the Position Overview Our consultants are expected to have a strong interest in business. Understanding our clients' organizations and industries is key to identifying areas of opportunity for us to help. Similarly, consultants must have excellent listening, writing, and presenting skills, alongside the aptitude and motivation to master multiple data-focused technologies in a fast-moving field. This combination of business, people, and technical skills is essential. Our Brazil and US entities are managed together as one Thorogood Americas in support of development of our business not only in the region, but around the world. We work with our colleagues in the US, UK, India, Singapore, and Brazil to provide effective solutions for our clients situated across the globe. The global nature of our work exposes our consultants to a variety of experiences across industries and cultures. The ability to work collaboratively and effectively as part of a distributed team is therefore imperative for the position. Our most successful consultants develop a well-rounded set of skills in each of these areas of business, people, and technology. You'll do so via a number of opportunities: Comprehensive training: During your first months at Thorogood, experienced consultants will introduce you to the technologies we work with, the industries we serve, and the ways in which we develop our business. Crucially, we will share how we live our values. When you've finished, we'll plan to have you working on a client project immediately. Building your core technology skills: We're the kind of people who learn best by doing. You'll be working on a team locked onto business value for the customer to develop fast, effective, and high-quality technical solutions. Working with top clients: Thorogood works with some of the biggest and best-known companies in the world. You'll be a part of client interactions, sometimes leading them, to make sure we're keeping our projects on track and delivering value to our customers. Developing relationships: We consider ourselves trusted advisors for our clients. We earn this trust through listening carefully, sharing the expertise we have acquired, and helping to progress the objectives within their organizations. Shaping future projects: We are always listening to customers to understand their objectives and needs and working with our consultants to share proposals on how we can help. Working as part of a supportive project team: You'll be working from our offices in Philadelphia, with occasional travel externally to client sites and internally to other Thorogood offices. Your project teams will be comprised of consultants across many levels of experience, working together daily to support one another along the way. Becoming an expert, yourself: Our subject matter experts are not necessarily the most tenured people at Thorogood. In the rapidly changing world of data and analytics, we look to all levels of experience to gain expertise in new technologies and analytical techniques. In addition to project work, Thorogood consultants run our company. We expect you to contribute here, as well: Helping to grow our business: Interact with current and prospective clients, listen to their needs, and drive business development activities and discussions. Together, we'll consider the business objectives in conjunction with the technical possibilities in order to understand the opportunities for their organizations. Delivering educationally focused marketing events: Prepare and present informational events for contacts at prospective and current clients. Fostering vendor partnerships: Help maintain and further our relationships with key vendor partners in the space including Microsoft, Databricks, Amazon Web Services, Google Cloud and others, whose offerings we implement for customers. Developing our consultancy: Contribute to recruiting, training, and managing our people. Additional Benefits We individually select each of our consultants very carefully through our comprehensive interview and assessment process. We place a great deal of value on consultants' growth and wellbeing. In addition to a challenging and rewarding career path, Thorogood offers the following benefits: Very competitive salary and compensation program Company-sponsored health, dental, and vision coverage 401(k) program with employer match Generous vacation allowance with incremental increases over time based on consultant tenure Incentive programs Opportunities for national and international travel Focus on work-life balance Location and Timing This position is based at our Center City office in Philadelphia, PA. Our consultants are currently working in a flexible, hybrid work model. However, a level of in-person attendance at our office is required. The expected start date for this position is approximately between January 2026 or July 2026, depending on candidate start date availability. About You Qualified candidates must have Strong interest in business, people, and technology Strong academic record in a related discipline, including engineering, computer science, mathematics, statistics, business, management, or another business and quantitative-focused field Bachelor's degree with graduation between December 2025 and June 2026 Candidates must demonstrate effectiveness in Working individually and as part of project teams Maintaining responsibility and accountability for quality and work delivery Client focus and relationship management Time management and priority setting Data awareness and business interest Learning new technologies This is an entry-level position; no prior full-time employment experience is required. Please do highlight if you have studied or worked with Cloud BI & Analytics technology platforms, e.g. Databricks, Snowflake, Amazon Web Services, Microsoft Azure, or Google Cloud Platform SQL, Python, R, Scala, Spark, or any other programming or statistical programming languages and frameworks Applied mathematics, statistics, probability, machine learning, artificial intelligence, large language models, and/or generative artificial intelligence Data science, data engineering, data analysis, or data visualization technologies Managed structured, semi-structured, and unstructured data storage, transformation, or analysis Integrating data solutions into web applications Please note: Thorogood will ensure that every employee is authorized to work in the United States. If you are offered employment with the Company, we shall require proof of your authorization to work within the United States. Thorogood does not sponsor applicants for work visas. Applicants must be currently authorized to work within the United States on a full-time basis

Hi., Hope you are doing well. This is Krishna from ICS Global Soft Inc. Kindly find the below and let me know your availability. Requirement: Role: Senior BigData Engineer Location: Wilmington, DE Duration: Multi-Year Contract Job Description: •Will join a growing team buildinga modernized Data Ecosystem. •Responsible for expanding andoptimizing data and data pipeline architecture, modernizing data ecosystem withopen source technologies as well as optimizing data flow and collection forcross functional teams. •Project Details: Datamodernization project from scratch. Theyare taking their legacy data platform and migrating everything into AWS. Theywill be analyzing current platform, planning and designing how to set up thenew data/ETL pipelines, then start coding. Technical Experience: •Big data tools: Hadoop, ApacheSpark, Kafka, etc. •Relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra. •Data pipeline and workflowmanagement tools: NiFi, Kylo, Luigi, Airflow, Azkaban etc. •AWS cloud services: S3, EC2, EMR,RDS, Redshift •Stream-processing systems: Storm,Spark-Streaming, etc. •Object-oriented/object functionscripting languages: Python, Java, C++, PySpark, Scala General Responsibilities: •Create and maintain optimal datapipeline architecture. •Assemble large, complex data setsthat meet functional / non-functional business requirements. •Identify, design, and implementinternal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc. •Build the infrastructure requiredfor optimal extraction, transformation, and loading of data from a wide varietyof data sources using SQL and AWS ‘big data' technologies. •Build analytics tools thatutilize the data pipeline to provide actionable insights into customeracquisition, operational efficiency and other key business performance metrics. •Workwith stakeholders including the Executive, Product, Data and Design teams toassist with data-related technical issues and support their data infrastructureneeds. Best Regards Krishna Chalasani RecruitmentLead 1231 Greenway Drive | Ste 375 | Irving, TX 75038 E-mail: **************************** Office: ************ | Cell:************ LinkedIn NMSDC Certified | Certified Minority Business Enterprise (MBE), SBE | AnE-Verify company According to Bill S.1618 Title III passed by the 105th US Congress, thismessage is not considered as "Spam" as we have included the contactinformation. If you wish to be removed from our mailing list, please respondwith "remove" in the subject field. We apologize for anyinconvenience caused..

Job DescriptionAt ALLERE GROUP, we pride ourselves in creating the perfect match for our candidates. We work tirelessly to build relationships with top companies across the nation, so we always have exciting opportunities for the right candidates. If you are excited about emerging technologies and would love to be a part of a progressive company, we want to talk to you!Job Title: Data Loss Prevention (DLP) Security EngineerLocation: Wilmington, DE (Hybrid) DLP Engineer 4-5 years of hands-on experience in data loss prevention solutions to join our security team. The ideal candidate will have strong expertise in Symantec DLP, Varonis, and Microsoft Purview, with proven ability to design, configure, and maintain DLP policies and rules. This individual will partner with Security Operations and IT teams to execute on a comprehensive DLP strategy that safeguards sensitive data and ensures compliance. Key Responsibilities Design, implement, and maintain DLP rules, policies, and workflows across Symantec DLP, Varonis, and Microsoft Purview. Partner with stakeholders to define DLP strategy and ensure alignment with business objectives and compliance requirements. Monitor, tune, and troubleshoot DLP systems for performance, false positives, and accuracy. Conduct incident investigations, root cause analysis, and recommend corrective actions. Update software with patches and support from various DLP software. Develop documentation for DLP processes, incident response, and user education. Stay current on evolving data security trends, tools, and compliance regulations. Required Qualifications 4-5 years of experience as a DLP Engineer, Security Engineer, or related role. Hands-on experience with: Symantec DLP, Varonis, Microsoft Purview Strong background in DLP rules development and policy configuration. Experience executing on a data protection strategy in a large or regulated enterprise. Solid understanding of data classification, compliance frameworks, and security operations. Strong problem-solving skills and ability to work both independently and collaboratively. ALLERE GROUP is a proud woman-owned business (WBENC certified) and active supporters of numerous philanthropic, volunteer, and fundraising endeavors. ALLERE GROUP offers direct hire, contract to hire, and statement of work placements. We offer access to employer healthcare benefits, and a 401k retirement plan. Allere Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Implement Big Data solutions using Hadoop, Spark, Kafka, and cloud-native services. Build real-time and batch data pipelines for analytics and reporting. Lead cross-functional teams of data engineers, analysts, and developers. Collaborate with executives to define KPIs and reporting needs. Mentor junior team members and promote best practices in BI and Big Data. Salary Range: $100,000 to $115,000 per year

Job Description Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Cozen O'Connor is hiring a Business Intelligence Architect to join the IS team. This position is a staff-level role on the Enterprise Data Services team. The individual in this role is responsible for the design, development, and maintenance of data presentation tools within Cozen O'Connor. The role also participates in data engineering responsibilities in collaboration with other team members. Responsibilities Learn and maintain an understanding of the transactional system data used throughout the firm, and the end-user delivery methods for reporting and dashboards. Development, administration, and support of the firms' PowerBI-based reporting and dashboards. Administration, support and preparation for decommissioning of the firms' Qlik-based reporting/dashboard tools. Act as the (internal) user-facing subject matter expert on firm-wide reporting tools and design practices. Apply best practices for Data Governance and Metadata Management. Create and maintain well organized and easy to use documentation for end-user applications. In collaboration with IS Compliance team, provide evidence as required to satisfy audit requirements and ISO certification renewal. Qualifications Minimum of 4 years of development experience with PowerBI. Minimum of 4 years of development experience with Microsoft Fabric ETL methods. Some development experience with Qlik Suite (Qlik Sense, NPrinting) is preferred, but not required. Some experience with source control/release processes using Azure DevOps as a repository, as well as Git for version comparison. BS or BA Degree in Information Systems, Information Technology or other related field and/or commensurate work experience. Knowledge of enterprise-scale data management methodology, best practices, and associated frameworks (DAMA DMBOK, etc.). Expert-level proficiency in working with technical and non-technical users to facilitate data presentation needs. Some experience with T-SQL query building preferred. Excellent analytical and communication skills.

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

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.

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.

Thorogood is an independent, specialized, data and analytics consulting firm that works with some of the biggest and best-known companies around the world. We have offices in London, Philadelphia, Boston, Singapore, São Paulo, and Bangalore, and we work as a global unit to service blue chip customers drawing from the consumer goods, pharmaceutical, insurance, and banking sectors, among others. Together, we compete on the basis of our specialism, our people, our independence, high quality, and our experience delivering assuredly for customers over several decades. We help our customers leverage the latest technologies to make timely, data-driven business decisions. Our multi-skilled teams understand the critical interplay of data engineering, data science, and data visualization. We work across these areas to create business-focused, end-to-end technology solutions robust enough to meet enterprise needs. We recognize the importance of environmental sustainability, both in how we work and in the solutions we build for our clients. Our services span strategy, implementation, advanced analytics services, user empowerment, and support. Additional information about us, our people, what we do, and some of perspectives can be found on our website here. About the Position Overview Our consultants are expected to have a strong interest in business. Understanding our clients' organizations and industries is key to identifying areas of opportunity for us to help. Similarly, consultants must have excellent listening, writing, and presenting skills, alongside the aptitude and motivation to master multiple data-focused technologies in a fast-moving field. This combination of business, people, and technical skills is essential. Our Brazil and US entities are managed together as one Thorogood Americas in support of development of our business not only in the region, but around the world. We work with our colleagues in the US, UK, India, Singapore, and Brazil to provide effective solutions for our clients situated across the globe. The global nature of our work exposes our consultants to a variety of experiences across industries and cultures. The ability to work collaboratively and effectively as part of a distributed team is therefore imperative for the position. Our most successful consultants develop a well-rounded set of skills in each of these areas of business, people, and technology. You'll do so via a number of opportunities: Comprehensive training: During your first months at Thorogood, experienced consultants will introduce you to the technologies we work with, the industries we serve, and the ways in which we develop our business. Crucially, we will share how we live our values. When you've finished, we'll plan to have you working on a client project immediately. Building your core technology skills: We're the kind of people who learn best by doing. You'll be working on a team locked onto business value for the customer to develop fast, effective, and high-quality technical solutions. Working with top clients: Thorogood works with some of the biggest and best-known companies in the world. You'll be a part of client interactions, sometimes leading them, to make sure we're keeping our projects on track and delivering value to our customers. Developing relationships: We consider ourselves trusted advisors for our clients. We earn this trust through listening carefully, sharing the expertise we have acquired, and helping to progress the objectives within their organizations. Shaping future projects: We are always listening to customers to understand their objectives and needs and working with our consultants to share proposals on how we can help. Working as part of a supportive project team: You'll be working from our offices in Philadelphia, with occasional travel externally to client sites and internally to other Thorogood offices. Your project teams will be comprised of consultants across many levels of experience, working together daily to support one another along the way. Becoming an expert, yourself: Our subject matter experts are not necessarily the most tenured people at Thorogood. In the rapidly changing world of data and analytics, we look to all levels of experience to gain expertise in new technologies and analytical techniques. In addition to project work, Thorogood consultants run our company. We expect you to contribute here, as well: Helping to grow our business: Interact with current and prospective clients, listen to their needs, and drive business development activities and discussions. Together, we'll consider the business objectives in conjunction with the technical possibilities in order to understand the opportunities for their organizations. Delivering educationally focused marketing events: Prepare and present informational events for contacts at prospective and current clients. Fostering vendor partnerships: Help maintain and further our relationships with key vendor partners in the space including Microsoft, Databricks, Amazon Web Services, Google Cloud and others, whose offerings we implement for customers. Developing our consultancy: Contribute to recruiting, training, and managing our people. Additional Benefits We individually select each of our consultants very carefully through our comprehensive interview and assessment process. We place a great deal of value on consultants' growth and wellbeing. In addition to a challenging and rewarding career path, Thorogood offers the following benefits: Very competitive salary and compensation program Company-sponsored health, dental, and vision coverage 401(k) program with employer match Generous vacation allowance with incremental increases over time based on consultant tenure Incentive programs Opportunities for national and international travel Focus on work-life balance Location and Timing This position is based at our Center City office in Philadelphia, PA. Our consultants are currently working in a flexible, hybrid work model. However, a level of in-person attendance at our office is required. The expected start date for this position is approximately between January 2026 or July 2026, depending on candidate start date availability. About You Qualified candidates must have Strong interest in business, people, and technology Strong academic record in a related discipline, including engineering, computer science, mathematics, statistics, business, management, or another business and quantitative-focused field Bachelor's degree with graduation between November 2023 and June 2024 Candidates must demonstrate effectiveness in Working individually and as part of project teams Maintaining responsibility and accountability for quality and work delivery Client focus and relationship management Time management and priority setting Data awareness and business interest Learning new technologies This is an entry-level position; no prior full-time employment experience is required. Please do highlight if you have studied or worked with Cloud BI & Analytics technology platforms, e.g. Databricks, Snowflake, Amazon Web Services, Microsoft Azure, or Google Cloud Platform SQL, Python, R, Scala, Spark, or any other programming or statistical programming languages and frameworks Applied mathematics, statistics, probability, machine learning, artificial intelligence, large language models, and/or generative artificial intelligence Data science, data engineering, data analysis, or data visualization technologies Managed structured, semi-structured, and unstructured data storage, transformation, or analysis Integrating data solutions into web applications Please note: Thorogood will ensure that every employee is authorized to work in the United States. If you are offered employment with the Company, we shall require proof of your authorization to work within the United States. Thorogood does not sponsor applicants for work visas. Applicants must be currently authorized to work within the United States on a full-time basis

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