Senior data scientist jobs in Grand Prairie, TX - 945 jobs

This is a Full Time Direct Hire Permanent Role No C2C No Sponsorship We are seeking Data Engineers to support a critical migration project from SQL Server to Azure Synapse Analytics. This role combines data engineering, data analysis, and visualization responsibilities to ensure a smooth transition and optimized data architecture. Key Responsibilities Design, develop, and implement data pipelines to migrate data from SQL Server to Azure Synapse Analytics. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Optimize data models and queries for performance and scalability in Azure Synapse. Perform data analysis and validation to ensure accuracy and integrity during migration. Develop dashboards and reports using Power BI for business insights. Work with Microsoft Fabric to integrate and manage data workflows. Ensure compliance with data governance and security standards. Required Skills & Qualifications Strong experience with SQL (query optimization, stored procedures). Proficiency in Python for data processing and automation. Hands-on experience with Apache Spark for big data processing. Expertise in Azure Synapse Analytics and familiarity with Microsoft Fabric. Experience building and maintaining Power BI dashboards. Solid understanding of data warehousing concepts and ETL processes. Preferred Qualifications Experience with cloud-based data architecture and migration projects.

Role: Senior Data Architect-FTE Client: CBRE - Full time Opportunity Job Details As a Senior Data Architect, you will lead the design, development, and implementation of scalable, high-performance data platforms that support advanced analytics, AI/ML, and enterprise reporting. This is a hands-on role, combining strong data engineering expertise with architectural leadership to build modern, AI-ready data ecosystems. You will work closely with business stakeholders, engineering teams, and analytics leaders to translate complex business requirements into robust, secure, and future-ready data solutions. Design and implement end-to-end modern data architectures, including data lakes, lakehouses, and data warehouses. Lead hands-on development of ETL/ELT pipelines, ensuring scalability, reliability, and performance. Architect and optimize batch and streaming data pipelines across cloud and hybrid environments. Drive best practices for data modeling (conceptual, logical, physical) to support analytics and reporting. Build and manage integrations between enterprise systems, data platforms, and third-party APIs. Ensure data consistency, quality, and lineage across multiple sources. Implement metadata management, orchestration, and monitoring frameworks. Enable AI/ML-ready data foundations for advanced analytics, NLP, and intelligent automation. Support structured and unstructured data processing to enable downstream analytics use cases. Exposure to Ontology and Knowledge Graphs is a strong plus for semantic modeling and contextual analytics. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. 10+ years of overall experience, with 3+ years in data architecture and platform design. Strong hands-on expertise in data engineering and modern data platforms. Proven experience building enterprise-scale data platforms and data products. Deep familiarity with Snowflake, Databricks, Azure Synapse, or equivalent platforms. Strong knowledge of SQL, data modeling, metadata management, and orchestration tools. Experience with BI and reporting tools. Solid understanding of data governance and MDM frameworks. Excellent communication, stakeholder management, and technical leadership skills.

Required Qualifications: 9+ years' experience and hands on with Data Warehousing. 9+ years of hands on ETL (e.g., Informatica/DataStage) experience 3+ years of hands-on Big query 3+ years of hands on GCP 9+ years of Teradata hands on experience 9+ years working in a cross-functional environment. 3+ years of hands-on experience with Google Cloud Platform services like Big Query, Dataflow, Pub/Sub, and Cloud Storage 3+ years of hands-on experience building modern data pipelines with GCP platform 3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management 3+ years of experience with SQL, NoSQL 3+ years of experience in data engineering with a focus on microservices-based data solutions 3+ years of containerization (Docker, Kubernetes) and CI/CD for data pipeline 3+ years of experience with Python (or a comparable scripting language) 3+ years of experience with Big data and cloud architecture 3+ years of experience with deployment/scaling of apps on containerized environment (Kubernetes,) Excellent oral and written communications skills; ability to interact effectively with all levels within the organization. Working knowledge of AGILE/SDLC methodology Excellent analytical and problem-solving skills. Ability to interact and work effectively with technical & non-technical levels within the organization. Ability to drive clarity of purpose and goals during release and planning activities. Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail.. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Immediate need for a talented Data Engineer. This is a 06+ Months Contract opportunity with long-term potential and is located in Dallas, TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:26-00480 Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and optimize end-to-end data pipelines using Python and PySpark Build and maintain ETL/ELT workflows to process structured and semi-structured data Write complex SQL queries for data transformation, validation, and performance optimization Develop scalable data solutions using Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Databricks Ensure data quality, reliability, and performance across data platforms Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements Implement best practices for data governance, security, and compliance Monitor and troubleshoot data pipeline failures and performance issues Support production deployments and ongoing enhancements Key Requirements and Technology Experience: Must have skills: Data Engineer, Azure, Python, PySpark Strong proficiency in SQL for querying and data modeling Hands-on experience with Python for data processing and automation Solid experience using PySpark for distributed data processing Experience working with Microsoft Azure data services Understanding of data warehousing concepts and big data architectures Experience with batch and/or real-time data processing Ability to work independently and within cross-functional teams Experience with Azure Databricks Knowledge of data modelling techniques (star/snowflake schemas) Familiarity with CI/CD pipelines and version control tools (Git) Exposure to data security, access control, and compliance standards Experience with streaming technologies Knowledge of DevOps or DataOps practices Cloud certifications (Azure preferred) Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. 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. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and analytics platforms. In this role, you will lead the creation of scalable pipelines, data models, and cloud-based architecture that ensures reliable, high-quality data across the organization. You will architect and implement new database solutions, drive migration and optimization efforts in PostgreSQL and Snowflake, and advance data governance initiatives. Working in an agile, cross-functional environment, you will translate business needs into scalable solutions while ensuring security, integrity, and performance. This role is ideal for someone who thrives on building data platforms from the ground up and shaping enterprise data strategy. This position is remote but may follow a hybrid schedule for candidates located within 60 miles of an Alliance office. Essential Functions Architect and implement new databases and data platforms to meet business and technical requirements Build and maintain scalable ELT/ETL pipelines and data models for analytics and reporting Manage and optimize database environments, including provisioning, performance tuning, and access controls Implement and manage automation and workflow orchestrations for reliable, repeatable deployments Ensure data quality, consistency, and compliance through robust validation and monitoring practices Collaborate with cross-functional teams to define technical requirements, estimate development efforts, and deliver business-aligned solutions Troubleshoot complex issues, recommend improvements, and maintain clear documentation of data systems, processes, and solutions proposed/implemented Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 10+ years of hands-on experience with relational databases, including designing and implementing new database systems Knowledge, Skills, & Abilities Proven experience designing and building new databases and large-scale data systems, particularly in PostgreSQL and Snowflake; hands-on experience with dbt Demonstrated ability to develop and optimize ELT/ETL pipelines for complex data sets Experience with cloud architecture, workflow orchestration, and Git-based version control Knowledge of data governance, data quality, and validation practices Strong troubleshooting and root-cause analysis skills Excellent communication skills and experience working in agile, cross-functional teams Working knowledge of Python preferred, familiarity with data visualization principles a plus Work Environment While performing the duties of this job, the employee regularly works in an office setting with constant sitting and occasional standing. Physical Demands Prolonged periods of sitting or standing at a desk while using a computer. Travel Not Applicable Other Duties Please note this job description is intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Additional job-related duties may be assigned. Alliance reserves the right to amend and change responsibilities to meet business and organizational needs as necessary with or without notice. Employee Benefits: Key Benefits Include: - Medical, Dental, and Vision Insurance - Flexible Spending Accounts - 401(K) Plan with Competitive Match - Continuing Education and Tuition Assistance - Employer-Sponsored Disability Benefits - Life Insurance - Employee Assistance Program (EAP) - Paid Time Off (PTO), Paid Holidays, & Bonus Floating Holiday (if hired before July 1st) - Profit Sharing or Individual Bonus Programs - Referral Program - Per Diem & Paid Travel - Employee Discount Hub Salary based upon experience. EEO Commitment: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, national origin, ethnicity, sex, pregnancy, sexual orientation, gender identity/expression, including transgender identity, religion, disability, age, genetics, active military or veteran status and any other characteristics protected under applicable federal or state law.

General Purpose This role oversees and manages the work of Data Engineer who design and develop ETL pipelines and processes in our Cloud Infrastructure. They are responsible for the overall data integrity and quality, pipeline performance, and cost optimization within our Cloud (Azure) infrastructure. Duties and Responsibilities Manages the day-to-day tasks and development work of the Data Engineering team to ensure alignment with objectives and deliverables Conducts continuous evaluation and improvement on the ETL pipelines created by the Data Engineers to ensure cost effectiveness and performance Designs and implement automatic data quality reporting, communicating directly with different stakeholders whenever there are deviations Create and implement technical roadmaps to ensure we have the most up-to-date Cloud infrastructure Ensure technical alignment with the Data Engineering team from HQ. Qualifications Bachelor's degree in computer science, software engineering, information technology, or a related field. Advanced degree is a plus. 3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure. 3+ years proven experience leading and managing a team of data engineers, including setting objectives, providing guidance, and assessing performance A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling. Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache Kafka, and distributed data processing frameworks. Experience with various database systems, including relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency on cloud platforms like Azure, AWS, etc. for data storage and processing. Ability to lead and manage a team of data engineers, including setting objectives, providing guidance, and assessing performance. 30% travel projected Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at if you need assistance completing this application or to otherwise participate in the application process. Know Your Rights dol.gov Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

Job Description Union Technologies is reindustrializing America's defense manufacturing base with a first-of-its-kind Factories-as-a-Stockpile™ model, integrating advanced robotics, manufacturing, and software into sovereign factory systems at scale. Headquartered in Dallas, Texas, UNION is dedicated to restoring America's industrial strength and guaranteeing deterrence for the century ahead. We recently emerged from stealth with $50M in funding led by top-tier venture investors and strategic partners. Read more in our Press Release Job Summary: We need you to help unlock the power of data in defense manufacturing - building AI-driven insights that predict perfection and prevent failures in high-stakes production. Have you developed machine learning models in manufacturing or aerospace settings? Do you thrive on dissecting massive datasets to forecast issues and boost quality? Have you turned statistical analyses into real-world process wins using tools like Python and Power BI? Do you want to be part of a culture that demands data-backed excellence, where every insight fortifies national security and operational efficiency? We need a seasoned Senior Data Scientist to develop advanced analytics and machine learning models for optimizing manufacturing processes and product quality in defense-grade steel forgings. With 5-7 years of experience in data science or advanced analytics within manufacturing, aerospace, or defense, plus expertise in Python, R, SQL, Minitab, R-Shiny, Power BI, machine learning, predictive modeling, SPC, CpK/PpK analysis, and root cause tools like 8D and 5-Why. Come work in our cutting-edge facility and help us integrate data-driven strategies with Lean and Six Sigma principles to foster a collaborative, innovative environment that automates excellence and mentors the next generation of analysts. Key Responsibilities: • Develop advanced analytics and machine learning models to optimize manufacturing processes and improve product quality for defense-grade steel forgings. • Analyze large-scale production and quality datasets to identify trends, predict failures, and drive process improvements. • Apply statistical methods (CpK/PpK, SPC) and predictive modeling to ensure process capability and stability. • Build dashboards and visualization tools using Python, R-Shiny, and Power BI for real-time process monitoring. • Collaborate with process engineers to integrate data-driven insights into shop-floor operations. • Implement root cause analysis using data (8D, 5-Why) and support continuous improvement initiatives. • Drive automation of data collection and reporting systems to reduce manual effort and improve accuracy. • Serve as a technical mentor for junior data analysts and engineers on statistical and machine learning techniques. Required Qualifications: Education: Bachelor's or Master's in Data Science, Statistics, Computer Science, Industrial Engineering, or related field. Experience: 5-7 years in data science or advanced analytics within manufacturing, aerospace, or defense; experience with process optimization preferred. Technical Skills: Programming: Python, R, SQL Tools: Minitab, R-Shiny, Power BI, Excel Methods: Machine Learning, Predictive Modeling, SPC, CpK/PpK analysis Work Style: Analytical thinker; hands-on problem solver; thrives in high-pressure environments. Soft Skills: Strong communicator; collaborative; able to translate complex data insights into actionable recommendations. Preferred Qualifications: Familiarity with defense standards (MIL-STD, ITAR). Experience with manufacturing data systems (MES, ERP) and IoT sensor data. Knowledge of Six Sigma and Lean principles. Exposure to cloud platforms (AWS, Azure) for data pipelines and model deployment. Join the mission. We'll handle the move. Exceptional talent shouldn't be bound by geography. If you're ready to relocate to Dallas, TX and join us in reindustrializing America's defense backbone, we'll make it easy-and for those who move quickly, additional incentives may be available. Compensation Range: $110K - $190K

Company description Publicis Re:Sources is the backbone of Publicis Groupe, the world's most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients. Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,200+ employees globally. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at ********************************* The Publicis Re:Sources Guiding Principles define who we are and what we stand for. They reflect the mindset and behaviors that shape how we work, how we support one another, and how we drive progress together. * People First, Driving Success Together * Problem Solving Mindset * Respect Each Other * Partner and Collaborate as One Team * Commit to Quality and Standards * Innovate and Embrace the Future Overview We are looking for a Senior Data Scientist with deep expertise in Generative AI and advanced machine learning techniques to join our AI innovation team. This role will focus on designing, developing, and deploying generative models that power next-generation AI solutions for our organization. * Visa sponsorship is not available for this role including H1B, OPT EAD etc.* Responsibilities * Lead the development and optimization of Generative AI models (LLMs, diffusion models, transformers) for text, image, and multimodal applications. * Design and implement end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment. * Collaborate with product and engineering teams to integrate generative models into scalable applications. * Conduct research on emerging Gen AI techniques and apply them to business use cases. * Fine-tune pre-trained models and develop custom architectures for domain-specific tasks. * Ensure compliance with AI ethics, bias mitigation, and data privacy standards. * Mentor junior data scientists and contribute to best practices in model development and MLOps. Qualifications * Bachelor's. in Computer Science, Data Science, AI/ML, or related field. * 7+ years of experience in Data Science, with at least 2+ years in Generative AI. * Strong proficiency in Python, TensorFlow, PyTorch, and ML frameworks. * Hands-on experience with LLMs (GPT, BERT, etc.), diffusion models, and transformer architectures. * Expertise in NLP, computer vision, and multimodal AI. * Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools. * Strong understanding of data ethics, bias detection, and responsible AI principles. Preferred * Experience with prompt engineering, fine-tuning large models, and vector databases. * Knowledge of retrieval-augmented generation (RAG) and agentic AI frameworks such as Langchain, Langgraph, Langfuse. * Publications or contributions in AI research communities. Additional information All your information will be kept confidential according to EEO guidelines. This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. Salary Range - $125-145K/yr (Depends on location, qualifications and experience) This document does not create an employment contract, implied or otherwise, other than an ""at-will"" relations. #LI-DS1

PRIORITY 2 SENIOR DATA SCIENTIST Duration: Long term contract on C2C Other Required skills to focus: Statistic Modeling, Predictive Modeling, Python/ PySpark preferred, SQL etc. Required Skills: Data Science, Python, Machine Learning ML/ AI, Statistics, GCP/ AWS. JOB DESCRIPTION: Senior Data Scientist This position is for a hands-on experienced data scientist with experience in developing predictive models for business applications. The position involves working on data science projects and solutions that drive customer experience, customer service, network, and technical operations, marketing effectiveness, personalization, recommendation, and operational efficiency. The position involves developing AI/ML solutions to complex business problems, preparing and processing large data, testing models' performance, working with data engineers to implement models, preparing technical results and presentations, and migrating python and pyspark-based predictive models to Google Cloud Platform. Required: · Solid hands-on experience in coding statistical and machine learning models using Python, PySpark, and machine learning libraries. · Experience with building machine learning models and data processing using Google Cloud Platform (GCP). · Bachelors degree in data science, computer science, statistics, mathematics, or engineering with six or more years of relevant work experience as a data scientist developing and coding predictive models for business applications, or a Masters degree in data science, computer science, statistics, mathematics, or engineering with four or more years of relevant work experience as a data scientist developing and coding predictive models for business applications. · Experience in data management and data analysis in a relational database, Hadoop and Spark, SQL hands-on experience. · Experience in NLP, language understanding, topics modeling, and deep learning applications. · Experience in large-scale data science projects and delivering from end to end. · Experience with building data pipelines, model artifacts, and packaging for and model deployment. · Strong communication and interpersonal influencing skills. · Excellent problem-solving and critical thinking capabilities

Imperial Dade is the leading independently owned and operated distributor of foodservice packaging and janitorial supplies in North America. As a provider of customized supply chain solutions, we serve customers in many business-to-business market segments, including restaurants, grocery stores, healthcare, sports and entertainment, and cruise lines. Founded in 1935 and headquartered in New Jersey, Imperial Dade serves as a mission-critical partner to more than 120,000 customers through our footprint of 130+ branches. All correspondence will come directly from Imperial Dade and not a personal email address. Imperial Dade, a leading North American distributor, has a Senior Digital Data Scientist role available in Jersey City, NJ or Miami, FL, Texas or other Central or East Coast Time Zones! We are seeking an innovative and digitally focused Senior Data Scientist to accelerate our digital transformation journey in Jersey City, NJ. In this strategic role, you will be at the forefront of leveraging data science and advanced analytics to drive digital product innovation, optimize digital experiences, and inform digital strategy across the organization. You will collaborate closely with digital product, marketing, and technology teams to unlock the value of our data, enhance digital customer journeys, and fuel our growth as a digital-first organization. This is an exciting opportunity for a data science leader who is passionate about shaping the future of digital business through data-driven insights and solutions. This position is from Monday through Friday, from 8:00 am to 5:00 pm. Salary Range: 135,000 to 160,000 + bonus Location variable: The listed salary range is based on the Jersey City, NJ market. Compensation for candidates in other areas will be competitively adjusted to reflect the local market. You will: * Partner with digital product managers and UX teams to analyze user behavior, identify friction points, and recommend enhancements for web and mobile platforms based on transaction and behavioral data. * Build, deploy, and monitor machine learning models that personalize digital experiences, optimize recommendations, and improve digital engagement. * Analyze digital marketing campaigns, A/B test new features, and measure the effectiveness of digital initiatives to maximize ROI. * Develop and maintain dashboards and reporting frameworks that provide real-time insights into digital KPIs, customer journeys, and conversion funnels. * Synthesize data from multiple digital touchpoints (web, app, Sales Portal, CRM, social, e-commerce) to deliver holistic, actionable insights. * Collaborate with business leaders to define and track digital success metrics, supporting strategic decision-making and digital roadmaps. * Evaluate and implement new digital analytics tools and platforms to enhance our capabilities. You have: * 4+ years of experience in data science or advanced analytics, with a strong focus on digital products, digital marketing, or digital transformation. * Master's or PhD in Data Science, Computer Science, Statistics, or a related field preferred. * Proficiency in SQL, Python, & R, and experience with digital analytics tools (Google Analytics, Mixpanel, etc.). * Extensive hands-on experience with Google Tag Manager (GTM) * Deep understanding of digital customer journeys, UX analytics, visualization skills (Power BI, or similar), with the ability to communicate digital insights to diverse audiences. * Experience in machine learning for digital applications, e-commerce, SaaS, or digital product environments (AWS, Azure, GCP) and big data frameworks (Spark, Databricks). * Background in digital experimentation, CRO (conversion rate optimization) experience using Customer Lifetime Value models to identify growth drivers

Employer Nature of Business Commercial airline carrier Job Number Salary Not provided Description openings for a Data Scientist/Sr. Data Scientist to perform the following duties: Gather data from various analytical databases and sources, and implement advanced statistical methodologies to optimize operations; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Conduct exploratory analyses including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive); Partner with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions; Work with other teams across the organization to integrate and centralize customer data for analytics purposes to increase customer knowledge across the organization, including but not limited to third party data, digital behavior, operational metrics, etc.; Deploy models as proofs-of-concept or fully productionized implementations; Develop, analyze, and evaluate customer centric metrics that incorporate customer attributes and behaviors holistically and allow the company to better understand customer value; Collaborate cross-functionally across workgroups to add customer insights leading to better decisions; Select appropriate analytical tools and write analytics-based code and queries to generate outputs supporting strategy and decision-making; Identify and assess opportunities to leverage new technologies and collaborate with external vendors to enhance customer understanding. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Experience qualifications 2 years of experience as Analyst or any occupation in which the required experience was gained, and demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data sources; Strong economic and market analysis skills; Strong analytical skills with work experience in dynamic environment; Demonstrated ability to solve and to lead others in solving complex analytical problems; Competitive analysis; Database management systems, data structuring, and data architecture; Machine learning methods including correlation, clustering, segmentation, and regression; Machine learning algorithms including XGboost, KNN Neighbors, and Random Forest; Data extraction, cleaning, and analysis; Cloud Computing or Distributed Computing; Azure Databricks or Spark. Educational requirements Masters degree in Business Analytics, Operations Research, or related field.

Role: Staff Data Scientist ( This is a Senior role) Join Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily. Collaborate closely with sales, product, and engineering teams to spearhead the design and implementation of cutting-edge retail solutions. Helps the team get better technically, mentors junior associates, and keeps customer success in focus, in particular: * Is responsible for designing, developing, and testing new algorithms, models, or solving approaches based on machine learning, operation research, or * other techniques to solve a Blue Yonder business problem with little or no supervision. * Develops prototypes and proofs of principles for innovative features. * Integrates new models and algorithms into a product solution. * Mentors team with scientific libraries and development tools. * Develops quality software (including test code) according to clean code principles and Blue Yonder standards. * Considers operational aspects of machine learning services in early design stages and strives for more automation and self-service to reduce operational efforts for themselves and the team. * Empowers team members by sharing knowledge and providing hints so they come up with their own solutions. * Leads by example. Technical Environment Operate within a sophisticated technical landscape, utilizing Python 3.* and frameworks such as TensorFlow, PyTorch, BigQuery, Apache Beam, Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask. Our application architecture follows a scalable, resilient, reactive, event-driven and secure multi-tenant Microservices design, hosted on Google and Azure Cloud. Responsibilities: * As Staff Data scientist, you will be a guiding the team in the implementation of machine learning models and deep learning tools. * Collaborate with cross-functional teams to execute data enrichment, cleansing routines, and feature selection. * Evaluate candidate models, select the final model, and report on test performance. * Ensure proper runtime deployment of models and implement runtime monitoring for continued model stability. * Drive collaboration with product, sales, and engineering teams to shape the final solution. * Utilize data to understand patterns, formulate and test hypotheses, and iterate as needed. * Play a key role in preparing sales materials and estimating hardware requirements. * Lead client meetings, both online and onsite, to discuss new and current functionality. Qualifications: * Bachelor's Degree in Computer Science or any other related field is required * Min 8 to 10 years of experience with strong foundation in data science and deep learning principles. * Proficient in Python programming with a solid understanding of data structures. * Experience with frameworks and libraries like Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib, etc. * Expertise in a database query language, preferably SQL. * Familiarity with deep learning, time series, NLP, reinforcement learning, and combinatorial optimization. Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. * Solid experience with major cloud platforms, preferably Azure and/or GCP. * Knowledge of modern software development tools and best practices, including Git, Github Actions, Jenkins, Docker, Jira, etc. * Proven experience in team leadership, mentoring junior data scientists in an official or unofficial capacity. * Desired knowledge of Kafka, Redis, Cassandra, etc. Synomym title : Staff Software Engineer #LI- SR1 #LI-LOCAL * ------------------------------------------ The annual salary range for this position is $130,023.09 - $163,976.90 The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position. At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: * Comprehensive Medical, Dental and Vision * 401K with Matching * Flexible Time Off * Corporate Fitness Program * A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time. Who we're looking for Toyota's OneTech Data Department is looking for a passionate and highly motivated Senior Data Scientist. The primary responsibility of this role is to develop impactful and scalable data science solutions on the edge or cloud that enhance various business functions. Reporting to the Senior Manager at the Office of Data Science and Automation, the person in this role will support the OneTech Data department's objective to optimize business and manufacturing processes through advanced machine learning and analytics. What you'll be doing * Utilize machine learning, deep learning, computer vision and generative AI models to create intelligence solutions, including predictive models, recommendation systems, and optimization algorithms for various business and manufacturing teams. * Translate business challenges into tangible proof-of-concept models through a combination of creative thinking, well-planned experimentation, rigorous analysis, and an innovative application of machine learning techniques. * Write production-quality code in Python, PySpark, and SQL to ensure robust and efficient data processing. * Develop data-driven products that analyze large datasets to extract insights that inform strategic investments and drive operational improvements. * Communicate complex analytical results and recommendations to both technical and non-technical stakeholders using compelling data visualizations, reports and presentations. * Work collaboratively with product managers, senior scientists, data engineers, and other team members in an agile and scrum environment, ensuring cross-functional alignment to fulfill product delivery requirements. What you bring * Education: A degree in a quantitative field such as Data Science, Computer Science, Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable. * Experience: A minimum of 3 years of professional experience. * Proficient in analyzing and modeling large data sets, structured and unstructured, utilizing modern statistical, machine learning, deep learning, and GenAI techniques. * Expertise in transforming ambiguous questions into impactful experiments, analysis, or models. * Experience with Machine Learning platforms (AWS Sagemaker, Databricks), Deep Learning frameworks (PyTorch, TensorFlow), Data Pipelines (Spark and Airflow), CI/CD, GitHub, and visualization (Power BI or Tableau). Added bonus if you have * An advanced degree (MS or PhD). * Experience working in automotive or other advanced manufacturing industries. * Experience deploying models in a production environment. * Familiarity with development and deployment of models on edge nodes. What we'll bring * A work environment built on teamwork, flexibility and respect * Professional growth and development programs to help advance your career, as well as tuition reimbursement * Team Member Vehicle Purchase Discount * Toyota Team Member Lease Vehicle Program (if applicable) * Comprehensive health care and wellness plans for your entire family * Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute * Paid holidays and paid time off * Referral services related to prenatal services, adoption, childcare, schools and more * Relocation assistance (if applicable): Belonging at Toyota Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question, need assistance with your application or do you require any special accommodations? Please send an email to *****************************.

Join our Data Analytics Reporting Team (DART) to build modular agentic components and ship production-ready AI features. You'll leverage Python, AWS, and leading agentic frameworks to automate workflows, scale securely, and deliver measurable business outcomes. As a Data Scientist Associate Sr within the Data Analytics Reporting Team at JPMorganChase, you will design, build, and maintain modular components for agentic systems that automate and orchestrate workflows across business platforms. You will own workstreams and Jira stories, delivering high-quality, scalable Python code and features within larger AI/ML initiatives. You will containerize and deploy solutions to cloud environments using Docker and infrastructure as code with Terraform, and collaborate closely with cross-functional partners to integrate agentic capabilities into existing systems. You will stay current on agentic frameworks such as LangGraph, Google ADK, and AutoGen, as well as LLMs and GenAI techniques including retrieval-augmented generation, applying them pragmatically to solve business problems. You will document designs, communicate progress and technical concepts to stakeholders, and uphold code quality, security, and compliance through testing and peer reviews. Exposure to Kubernetes and EKS, MLOps tooling, and core AWS services (S3, RDS, CloudFormation) will help you drive resilient, production-grade solutions aligned to business goals Job Responsibilities Build, test, and maintain modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. Take ownership of individual workstreams and Jira stories, delivering high-quality code and features as part of larger AI/ML initiatives. Work closely with team members to integrate agentic capabilities into existing systems and support solution delivery. Containerize and deploy agentic system components on cloud platforms, following established DevOps and infrastructure-as-code practices. Stay current with advancements in agentic frameworks (e.g., LangGraph, Google ADK, AutoGen), LLMs, and GenAI, and apply these technologies to assigned tasks and features. Document design decisions, implementation details, and results; communicate progress and technical concepts to team members and stakeholders. Ensure code quality, security, and compliance through testing, peer reviews, and adherence to best practices Required Qualifications, Capabilities, and Skills Bachelor's degree with 3+ years' experience or Master's degree with 1+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering). Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments. Strong Python programming skills, with a focus on modular, scalable, and maintainable code. Experience with AWS cloud platform. Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes. Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams. Excellent problem-solving, communication, and documentation skills. Exposure to agentic system design patterns, orchestration, and workflow automation. Preferred Qualifications, Capabilities, and Skills Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG). Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools. Financial services industry experience. Ability to design and evaluate autonomous system features aligned with business goals. Experience with additional cloud services (EKS, S3, RDS, CloudFormation). Experience with containerization (Docker), and infrastructure as code (Terraform). This role is 5 days a week in office full time. This role is not hybrid nor remote. This role is not eligible for any visa sponsorship or transfer support at this time.

A Fortune 50 client is looking for a Senior Data Scientist Engineer to come join their team in support of their Integrated Business Planning program for their European sector. As a Senior Data Scientist, you will be working on this clients large Integration Business Planning program in helping them change their data hierarchy by decreasing their 13k demand forecasting models to 7-8k in an effort to create less models but more efficient models. This role will require someone who understands IBP demand planning forecasting who can assess the accuracy and performance of machine learning models in the new models, help with model selection logic, perform data validation check and data quality checks, assist in the change in hierarchy of the data, and map existing old data to the new models to create better output. We are looking for someone who can help with making business recommendations and create solutions for problems that arise are key to success. You will also be working on data engineering areas and supporting analytics for business users as needed. An ideal candidate will have a passion for solving problems and be comfortable working in a smaller team, within a global organization. This role allows candidates to be remote in India, however you must be available to work either 10am-7pm IST or 11am 8pm IST. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements -8+ years overall Data Science experience -Expertise in Python and Pyspark -Experience with various algorithms including, but not limited to: Forecasting, Econometrics, and Curve fitting methods --> Demand Forecasting is most important -1-2 years development role, ML Model implementation, experimentation & related software engineering focused -Experience working in Azure ecosystem: ADF, ADLS, Databricks, Blob, etc. -ADO board experience -Strong SQL background -Expertise in CICD -Excellent problem-solving and analytical skills; strong communication and teamwork abilities; ability to work in a fast-paced and dynamic environment -Excellent written and verbal communication -Bachelors or Masters degree in Computer Science, Engineering, or a relate - Understanding of data engineering concepts and tools -Industry experience in CPG, F&B, or FMCB

Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time. Who we're looking for Toyota's OneTech Data Department is looking for a passionate and highly motivated Senior Data Scientist. The primary responsibility of this role is to develop impactful and scalable data science solutions on the edge or cloud that enhance various business functions. Reporting to the Senior Manager at the Office of Data Science and Automation, the person in this role will support the OneTech Data department's objective to optimize business and manufacturing processes through advanced machine learning and analytics. What you'll be doing Utilize machine learning, deep learning, computer vision and generative AI models to create intelligence solutions, including predictive models, recommendation systems, and optimization algorithms for various business and manufacturing teams. Translate business challenges into tangible proof-of-concept models through a combination of creative thinking, well-planned experimentation, rigorous analysis, and an innovative application of machine learning techniques. Write production-quality code in Python, PySpark, and SQL to ensure robust and efficient data processing. Develop data-driven products that analyze large datasets to extract insights that inform strategic investments and drive operational improvements. Communicate complex analytical results and recommendations to both technical and non-technical stakeholders using compelling data visualizations, reports and presentations. Work collaboratively with product managers, senior scientists, data engineers, and other team members in an agile and scrum environment, ensuring cross-functional alignment to fulfill product delivery requirements. What you bring Education: A degree in a quantitative field such as Data Science, Computer Science, Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable. Experience: A minimum of 3 years of professional experience. Proficient in analyzing and modeling large data sets, structured and unstructured, utilizing modern statistical, machine learning, deep learning, and GenAI techniques. Expertise in transforming ambiguous questions into impactful experiments, analysis, or models. Experience with Machine Learning platforms (AWS Sagemaker, Databricks), Deep Learning frameworks (PyTorch, TensorFlow), Data Pipelines (Spark and Airflow), CI/CD, GitHub, and visualization (Power BI or Tableau). Added bonus if you have An advanced degree (MS or PhD). Experience working in automotive or other advanced manufacturing industries. Experience deploying models in a production environment. Familiarity with development and deployment of models on edge nodes. What we'll bring A work environment built on teamwork, flexibility and respect Professional growth and development programs to help advance your career, as well as tuition reimbursement Team Member Vehicle Purchase Discount Toyota Team Member Lease Vehicle Program (if applicable) Comprehensive health care and wellness plans for your entire family Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute Paid holidays and paid time off Referral services related to prenatal services, adoption, childcare, schools and more Relocation assistance (if applicable): Belonging at Toyota Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question, need assistance with your application or do you require any special accommodations? Please send an email to *****************************.

Company: The Boeing Company The Boeing Company is currently seeking a Senior Data Scientist to join the team in Dallas, TX. The Boeing Company is looking for an experienced data scientist who can play lead role in developing and building next generation Artificial Intelligence (AI) and Machine Learning (ML) products and services. This position will work effectively with cross-functional teams and technical leads to determining, defining, and deploying analytics solutions to meet business goals. At Boeing, we are already making a difference across the industry using AI and ML to deliver superior product experience to our internal functions and commercial and government customers. We are expanding and growing in all areas in the frontier of the aerospace industry. We already have some of the best minds and talent in this field, and we're looking for someone with applied experience in AI and ML (including Natural Language Processing, Deep Learning, Conversational AI, and Computer Vision) to join our team in this lead data scientist role. Position Responsibilities: Evaluate business objectives, determine stakeholder needs, and identify requirements Choose best fit methods, define algorithms, validate, and deploy models to achieve business results Perform necessary data preparation and enhancements to models Interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Manufacturing, Quality, and Safety Work with data scientist leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base Provide thought leadership for machine learning and advanced analytics methods at Boeing and externally Engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value Evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization Ensure analytics solutions meet the business requirements and are implemented in a timely manner to validate business value Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation Identify modeling attributes and parameters Follow best practices and standard processes for model validation and refinement as per business requirements Assess performance of models and analysis and confirm that business objectives were met Work with business unit stakeholders to develop and sustain analytics solutions Basic Qualifications (Required Skills/Experience): 5+ years of experience working with projects, teams, and/or leaders in the analytics and/or data science space 5+ years of experience researching and applying large language and generative AI models 5+ years of experience with various machine learning methods such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, support vector machines (SVM), deep learning, reinforcement learning, etc. 5+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures Preferred Qualifications (Desired Skills/Experience): Bachelor's degree or equivalent work or military experience Master's degree in data science or equivalent Experience in supply chain domain Experience in agile and product-oriented development Experience in building ML models and bring in to full production use within the industry Experience training machine learning models in a cloud computing environment such as: Amazon Web Services, Google Cloud Platform, Microsoft Azure, etc. Experience programming in one or more of the following: C, C++, Java, Python, Scala Experience with statistical software (e.g., R, MATLAB) and database languages (e.g., SQL) Experience in advanced statistics (e.g., probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods, etc.) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $173,400 - $234,600 Language Requirements: Not Applicable Education: Not Applicable Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This is not an Export Control position. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E - Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build. Data Scientist, Advanced Technologies (National Tax - Tax Technology and Transformation) (Manager) (Multiple Positions) (1676660), Ernst & Young U.S. LLP, Dallas, TX. Apply data mining techniques, performing statistical analysis and building high quantity prediction systems integrated with tax technology products. Assist businesses navigate the digital age of tax transparency alongside new trends in tax compliance and tax audit methods, as well as helping to solve the most pressing challenges that businesses face. Identify complex problems and reviewing related information to develop and evaluate options, and provide data-driven business recommendations to clients. Decrease the cost of managing data and increasing the value of existing data. Process, cleanse and verify the integrity of data used for analysis and enhance data collection procedures to include information that is relevant for building analytic system. Select features and, build and optimize classifiers using machine learning techniques. Support various client projects, ranging from assisting in the production of leading edge machine models, to designing and implementing robust data pipelines that can handle data at a multinational, enterprise scale. Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Full time employment, Monday - Friday, 45 hours per week, 8:30 am - 5:30 pm. MINIMUM REQUIREMENTS: Must have a Bachelor's degree in Accounting, Computer Science, Data Science, Engineering, Management Information Systems, Statistics, or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master's degree in Accounting, Computer Science, Data Science, Engineering, Management Information Systems, Statistics, or a related field and 3 years of related work experience. Must have 3 years of experience working in a professional services firm, a consulting firm, or a mid-sized/regional to large-sized/national public accounting firm. Must have 3 years of experience in the management and manipulation of large datasets, both structured and unstructured, of which 1 year of experience must be with tax or accounting-related datasets. Must have 3 years of experience with machine learning techniques and algorithms, including at least one of the following: Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines (SVM), and/or Decision Forests. Must have 2 years of experience managing and/or analyzing data using at least one of the following: - SQL and NoSQL; - SQL Server; or - MongoDB. Must have 1 year of experience with using the Python toolkit (Pandas, NumPy, and/or Jupyter Notebooks). Must have 1 year of experience with distributed file systems including Apache Spark. Must have 1 years of experience designing and implementing ETL solutions for tools, including at least one of the following: Alteryx, SSIS, DataStage, Informatica, Talend, and/or Pentaho. Must have 1 years of experience with data visualization tools, such as Power BI, Tableau, and/or D3.js. Must have 1 year of experience with data science programming languages, including, Python and R. Must have 1 year of experience managing junior data and data analytics professionals, including setting goals, assigning work, and reviewing performance. Requires domestic travel up to 10%, to serve client needs. Employer will accept any suitable combination of education, training or experience. Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1676660). What we offer We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $128,475.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. • Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. • Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. • Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. • Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY's Talent Shared Services Team or email SSC Customer Support at **************************. This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at ****************************************************************************************** at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.