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Purpose As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications. This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up. You’ll Be Successful With • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred., • 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry., • Proven track record of moving models from development into production which deliver measurable impact to the business., • Expert proficiency in Python and SQL. Comfortable with version control., • Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow)., • Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development., • Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus)., • You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc., • The ability to translate "black box" model outputs into clear, actionable insights for business leadership., • Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling., • Strong intellectual curiosity with a bias toward action and continuous improvement., • Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams. Your Day Consists Of • Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning., • Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy., • Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment., • Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI)., • Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications., • Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights., • Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring., • Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams., • Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency., • Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats., • Be compliant with all appropriate privacy and security protocols. Working Conditions (travel, hours, environment) • Limited travel required including air and car travel, • While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate. Physical/Sensory Requirements Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Benefits & Rewards • Bonus opportunities at every level, • Non-traditional retail hours (we close at 7p!), • Career advancement opportunities, • Relocation opportunities across the country, • 401k with discretionary company match, • Employee Stock Purchase Plan, • Referral Bonus Program, • 80 hrs. annualized paid vacation (full-time associates), • 4 paid holidays per year (full-time hourly store associates only), • 1 paid personal holiday of associate’s choice and Volunteer Time Off program, • Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria) Equal Employment Opportunity Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law. This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

Job Description JOB DESCRIPTION Quantum Space Node Prototype Engineer / Innovation Fellow (Intern or Entry-Level Engineer — Future Founder Track) Location: Atlanta, GA (HQ) Division: Quantum Infrastructure & Micro-Node Systems Reports To: CEO / Quantum Node Program Manager Compensation: Competitive salary or stipend + bonus + future profit-sharing opportunity Status: Full-Time or High-Intensity Internship (10–14 weeks, option to convert) ROLE PURPOSE This is not a normal internship or engineering job. This is a once-in-a-lifetime chance to help invent the first intelligent micro-infrastructure system in the country, transforming everyday parking spaces into alive, dynamic, AI-powered urban nodes. You will be the hands-on builder, problem-solver, prototyper, and designer behind the Quantum Space Node Lite™ (QSN-L) — a futuristic, low-cost, scalable system that blends: • hardware, • software, • sensors, • AI, • AR, • electronics, • and visionary designYour work will directly shape the commercial product that will be deployed across the entire GGES portfolio and licensed nationwide. You will literally help create a new industry. WHAT WE’RE LOOKING FOR You are: ✔ A builder You prototype fast, break things, fix them, and improve rapidly. ✔ A creative technologist You can merge electronics, code, hardware, sensors, and imagination. ✔ A futurist You think about what the world should look like and build toward that. ✔ An optimizer You can reduce cost, simplify components, and make things elegant. ✔ A storyteller You love explaining your creations, demoing them, and inspiring buy-in. ✔ A “make-it-work-at-all-costs” creator You’ve built robots, drones, IoT projects, custom electronics, or anything unusual. ✔ A leader in training You want to eventually lead a team, a division, or an entire product line. We care more about your capability, curiosity, and drive than we do about a perfect resume. ROLE RESPONSIBILITIES 1. Prototype Development • Build the first functional QSN-L prototype., • Assemble and integrate:, • camera module, • edge compute board, • LED AR strip, • pressure micro-strips, • air quality sensors, • microphone array, • QR/NFC engagement panel, • enclosure & wiring, • Optimize cost down to $2,500 total per node.2. Hardware & Software Integration, • Program microcontrollers (ESP32, Pi Zero)., • Train or integrate AI detection models., • Calibrate sensors and pressure strips., • Link edge hardware to cloud dashboard.3. AI & Analytics, • Implement basic:, • vehicle detection, • occupancy detection, • dwell-time tracking, • LED pattern activation, • QR/NFC engagement automation, • Rapid Iteration, • Build → test → refine → repeat., • Produce prototype demonstrations for leadership., • Document everything for future installation teams.5. Field Deployment, • Install early units in:, • GGES property parking lots, • partner plazas, • Run real-world testing., • Solve installation challenges creatively.6. Innovation & Future Concepting, • Work with leadership to expand:, • AR features, • ad interaction layers, • AI-driven safety features, • data visualization, • Bring imaginative ideas to the table daily.7. Cross-Team Communication, • Present findings in weekly meetings., • Collaborate with Program Manager, Operations, Sales & Data teams., • Provide input for marketing, pitch decks, and commercialization materials. REQUIRED SKILLS (We expect you to have most, not all — passion matters more.) Technical (1–3 years hobby or academic experience acceptable) • Microcontrollers (ESP32, Arduino, Pi), • Python + basic AI inference experience, • Electronics and soldering, • 3D printing or fabrication, • LED/lighting control, • Basic networking (LTE, Wi-Fi, MQTT), • IoT systems, • CAD or simple mechanical designCreative / Conceptual, • Ability to sketch or visualize new concepts, • Ability to simplify complex challenges, • Strong problem-solving instinctsMindset, • Hungry, • Curious, • Fearless, • Obsessed with innovation, • Thrives with autonomy PREFERRED (BUT NOT REQUIRED), • Experience with TensorFlow Lite, • Experience with Google Coral TPU, • AR/VR knowledge, • Low-voltage electrical experience, • Environmental sensor integration, • Experience making something “that shouldn’t work, but does” WHAT SUCCESS LOOKS LIKE (90 DAYS) By Day 30: • QSN-L prototype fully assembled., • Basic edge detection functioning., • LED panel + AR Ghost Panel working.By Day 60:, • Field tests completed at 1–3 parking spaces., • Cloud analytics reporting live., • Cost optimized under $2,500 per unit.By Day 90:, • Commercial-ready prototype presented to Executive Leadership., • Deployment SOP finalized., • Ready-to-scale design achieved. WHY THIS ROLE IS SPECIAL, • You get to build technology no one else in the U.S. is building., • You’ll be “Employee #1” of a new division that will become a major revenue generator., • You’ll directly influence product design, commercialization, and launch strategy., • You’ll work directly with the CEO on a future-defining technology. APPLICATION INSTRUCTIONS We’re not looking for a standard resume. Applicants must submit: • A portfolio or photos of things they’ve built (hardware, electronics, robots, etc.), • A 1-minute video explaining why this opportunity excites them, • A short technical challenge (we provide)This person will be chosen based on creativity + execution energy, not pedigree.

Job Description Are you passionate about applying machine learning to transform the future of RF hardware? At Falcomm, we are revolutionizing wireless communications by integrating AI-driven solutions into the design of our energy-efficient Power Amplifier (PA) products. We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development of intelligent tools that enhance RF workflows, automate complex EM simulations, and accelerate the tape-out of high-performance PAs. This role sits at the intersection of software engineering, machine learning, and RF physics, perfect for a developer who wants to get close to the hardware. Responsibilities: • End-to-End ML Pipeline Development: Architect and maintain robust code for training and serving ML models that predict and optimize RF performance metrics., • PA Design Automation: Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic (EM) simulations., • Tool Integration: Seamlessly integrate ML inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers., • Software Engineering Excellence: Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within an agile hardware team., • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field., • 2+ years of professional experience in software engineering or machine learning., • Proficiency in Python: Advanced scripting, object-oriented programming, and automation skills., • ML Framework Expertise: Experience building models using PyTorch, TensorFlow, or scikit-learn., • Data Engineering: Strong grasp of data processing libraries (pandas, numpy, scipy) and file I/O operations., • RF & PA Domain Knowledge: Experience with Power Amplifier design,, • RF front-end architectures, or a strong understanding of RF metrics (PAE,, • Gain, ACLR, EVM)., • RF/EM Simulation Tools: Hands-on experience with Cadence Virtuoso,, • Ansys HFSS, or Keysight ADS., • Open Source Innovation: Experience utilizing or contributing to open-, • source RF/EDA alternatives (e.g., gdsfactory, KLayout, Qucs, openEMS)., • Simulation Scripting: Familiarity with automating RF simulations via, • SKILL, AEL, or Python APIs., • Physics-Informed ML: Interest or experience in applying ML to physics-, • Competitive Salary and Equity Package, • Comprehensive Health, Dental, and Vision Insurance, • 401(k) Retirement Plan, • Paid Time Off (PTO) and Sick Leave DISCLOSURE • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status., • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm., • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Job DescriptionAbout GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and roleCVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production‑grade systems. This role combines strong hands‑on technical execution with mentorship, collaboration, and data‑driven problem solving. Operating within an Agile environment, the Senior ML Engineer works closely with the machine learning team and cross‑functional partners to translate product requirements into robust ML solutions. The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality. What you will do Technical Development & Innovation • Design, implement, and optimize state‑of‑the‑art machine learning and computer vision models to enhance product capabilities., • Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision‑language models., • Implement and benchmark newly developed algorithms on large‑scale datasets, validating both accuracy and throughput., • Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC‑AUC, confusion matrices)., • Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks., • Support end‑to‑end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement., • Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery., • Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration., • Participate in design reviews, technical discussions, and knowledge‑sharing initiatives to raise overall team capability., • Proactively suggest improvements to existing models, workflows, tools, and product features., • Collaborate effectively with engineering, product, and data stakeholders to deliver high‑impact ML solutions., • Maintain awareness of emerging ML and computer vision trends and assess their applicability to real‑world problems. Skills we're looking for • Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience, • Strong hands‑on experience developing and deploying machine learning models in production environments., • Advanced understanding of supervised, unsupervised, and semi‑supervised learning techniques., • Expertise in classification, regression, clustering, and anomaly detection., • Solid experience with convolutional neural networks, recurrent neural networks, and transformer‑based models., • Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus), • Hands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning., • Experience using computer vision and scientific computing libraries such as OpenCV., • Familiarity with model deployment, monitoring, and CI/CD workflows., • Beneficial to have experience working with large‑scale datasets and performance‑critical ML systems., • Prior experience mentoring or technically guiding other ML engineers., • Beneficial to have exposure to production MLOps practices and model lifecycle management., • Able to balances research‑driven exploration with pragmatic, production‑focused execution. To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers. Unleash your potential and be part of our mission to power safe and rewarding digital lives.

Job Description Job Description: 4P Consulting Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology. Key Responsibilities: • Data Collection: Gather and collect large datasets from multiple sources, including APIs, databases, and external providers., • Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers., • Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data characteristics and patterns., • Feature Engineering: Develop features from raw data to enhance machine learning models., • Machine Learning Modeling: Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations., • Model Evaluation: Assess and fine-tune models using relevant evaluation metrics for optimal performance., • Data Visualization: Create clear, insightful visualizations and reports to present findings to non-technical stakeholders., • Predictive Analytics: Utilize statistical and machine learning techniques to predict trends and future outcomes., • Statistical Analysis: Apply statistical methods to test hypotheses and analyze data., • A/B Testing: Design and execute A/B tests to evaluate changes and improvements., • Data Integration: Integrate data science solutions into existing workflows and software systems., • Data Security: Ensure data privacy by implementing appropriate security measures., • Documentation: Maintain clear documentation of processes, models, and findings., • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred)., • Programming Skills: Proficiency in Python or R., • Data Tools: Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch)., • Database Knowledge: Strong understanding of SQL and relational databases., • Statistical Skills: Expertise in statistical analysis techniques., • Machine Learning: Deep knowledge of machine learning algorithms and techniques., • Data Visualization: Proficient in tools like Matplotlib, Seaborn, or Tableau., • Problem-Solving: Strong analytical and problem-solving skills., • Communication: Ability to clearly explain complex findings to non-technical audiences., • Collaboration: Experience working within cross-functional teams., • Domain Knowledge: Relevant industry experience (e.g., healthcare, finance) may be required., • Competitive salary, • Opportunities for career growth and development, • Health and wellness benefits

Job DescriptionThis position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly, efficiently while providing excellent value for the organization. The ML Engineer will work with stakeholders – both business and IT to be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences. Job Responsibilities: • Model Development: Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks. Design, build, and optimize machine learning models and algorithms for various applications., • Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation. Ensure data quality and integrity to enable accurate model predictions., • Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud-based platforms like Azure., • Model Training and Evaluation: Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement., • Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments and integrate them with existing systems., • Continuous Improvement: Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions., • Documentation and Communication: Document your work thoroughly, including model architectures, methodologies, and results. Present findings and insights to stakeholders in a clear and understandable manner. Technical Requirements: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field., • Proven experience in developing and deploying machine learning models and algorithms., • Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)., • Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure)., • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques., • Ability to work effectively in a collaborative, cross-functional team environment., • Strong problem-solving skills and a passion for tackling complex challenges., • Excellent communication and presentation skills. Preferred Qualifications: • Experience with big data technologies such as Hadoop, Spark, or similar., • Knowledge of deep learning architectures and techniques., • Previous experience in natural language processing (NLP) or computer vision projects., • Understanding of version control systems like Git.

Job Description Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions. We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards. Responsibilities • Design and implement code for training/serving ML models in chip design workflows, • Automate creation of large datasets for training models, • Integrate ML models into existing chip design software infrastructure, • Write comprehensive tests and documentation, • Collaborate with engineers to understand model requirements and deployment needs, • Participate in code reviews and follow software engineering best practices, • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field, • Strong Python programming skills with experience in scripting and automation, • Understanding of software engineering principles and code organization, • Experience with data processing libraries (pandas, numpy, scipy), • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn), • Basic understanding of file I/O, data parsing, and format conversion, • Experience with version control systems (Git) and collaborative development Preferred Skills • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.), • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE), • Experience with shell scripting (bash) and command-line tools, • Understanding of semiconductor design concepts, • Familiarity with Linux environments, • Experience with workflow automation and batch processing systems, • Knowledge of data visualization tools (matplotlib, plotly) for design analysis, • Competitive Salary, • Sick Leave DISCLOSURE • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status., • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm., • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Job DescriptionJob Title: Data Scientist-GCP Client: TBD Work Time Zone: EST Rate: $58/hour on 1099/C2C Location: Atlanta, GA ( Hybrid – 3 days on-site) We are looking for an experienced and forward-thinking Data Scientist to join our Data, Analytics, and Data Products team. The ideal candidate will have strong hands-on experience using Google Cloud Platform (GCP) tools—especially Vertex AI and Gemini—to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions. Core Responsibilities • Data Analysis & Exploration, • Analyze and explore large, complex datasets using BigQuery and other GCP-native sources., • Identify patterns, trends, and actionable insights to inform data science projects and business initiatives., • Statistical Modeling & Machine Learning, • Build, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting)., • Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development., • Generative AI & LLM Applications, • Develop and deploy generative AI use cases using Vertex AI and Gemini., • Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more., • Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG)., • Model Deployment & MLOps, • Use Vertex AI Pipelines, Model Registry, and Prediction Services to deploy and manage models., • Implement monitoring for model drift, bias detection, and performance tracking in production., • Experimentation & Validation, • Design and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact., • Define evaluation metrics aligned with model fairness, quality, and real-world utility., • Cross-Functional Collaboration, • Work closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models., • Bachelor's degree in Statistics, Computer Science, Data Science, or a related quantitative field., • 8-12 + years of experience in applied data science, machine learning, and statistical analysis., • Strong coding skills in Python or R for data analysis, modeling, and automation., • Hands-on experience with Vertex AI components (Notebooks, Pipelines, Training, Prediction)., • Familiarity with Gemini or other LLMs; experience with prompt engineering or GenAI tools., • Strong analytical thinking, communication, and storytelling abilities., • Proven track record with GenAI, including LLM integration, fine-tuning, and RAG systems., • Deep expertise in the Vertex AI ecosystem (Feature Store, Vector Search, Agent Builder)., • Solid understanding of MLOps practices and tools (e.g., CI/CD pipelines for ML)., • Experience with TensorFlow, PyTorch, or JAX.

Job Description Job Title Data Scientist Employment Type Full-time Work Authorization Requirements Authorized to work in the United States Language Requirements English About PRGX PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit . Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships. · Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions. · Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment. · Stay up-to-date with the latest research and developments in machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of experience applying machine learning techniques to solve complex data problems. · Strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. · Experience with data preprocessing, feature engineering, and data visualization techniques. · Proficiency in Python programming, and experience working with big data tools such as Spark. · Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. · Strong problem-solving skills and attention to detail. · Experience with agile development methodologies and version control tools such as Git. Preferred Qualifications: • Experience working with natural language processing (NLP) techniques., • Familiarity with deep learning frameworks such as TensorFlow or PyTorch. PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices. Physical Requirements Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication Data Privacy Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.

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Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash