Senior data scientist jobs in Dallas, TX - 932 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.

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.

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.

8+ years (with strong hands-on Azure Data Factory and PL/SQL experience) We are looking for a highly skilled Azure Data Engineer with deep expertise in Azure Data Factory (ADF) and PL/SQL to design, build, optimize enterprise-scale data integration and transformation solutions. The ideal candidate will work closely with business, analytics, and architecture teams to deliver reliable, scalable, and high-performance data pipelines. Design, develop, and maintain ADF pipelines for batch and incremental data loads Implement ETL/ELT workflows using ADF activities such as Copy, Data Flow, Lookup, ForEach, and Web activities Integrate ADF with Azure Data Lake Storage Gen2, Azure Blob Storage, Azure SQL, Synapse Analytics, and on-prem systems Develop and optimize PL/SQL stored procedures, packages, functions, and triggers Write complex SQL queries involving joins, subqueries, analytics functions, and performance tuning Perform query optimization using indexes, execution plans, and partitioning strategies.

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.

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

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

VERY URGENT AND IMMEDIATE NEED. Note: Need Only US Citizen, Green Card, EAD-GC, J2 EAD, H4 EAD, L2 EAD, and TN Visa. Job Title: Sr Data Scientist Engineer Duration: Long Term Contract Need Telecom Background working Experience Required Skills: Data Science Machine Learning AI Big Data/ Hadoop Python Cloud- AWS/GCP Job Description: Need minimum 08+ years of experience What were looking for... You are an accomplished Data Scientist, a recognized Machine Learning expert, and a thought leader in AI Technology and business innovation. You are a master at analyzing big data. Required: Formal education: Bachelors degree with six or more years of relevant work experience as a Data Scientist practicing model development for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years of relevant experience as a data scientist or machine learning engineer. Hands-on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script. Experience in data management and data analysis in a relational database, Hadoop and Spark. Experience with Cloud computing platform such as GCP or AWS Strong communication and interpersonal influencing skills. Excellent problem solving and critical thinking capabilities. Desired: A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business. Expertise in deep learning, NLP, reinforcement learning, recommender system, etc. Experience in leading large scale data science projects and delivering from end to end. Experience with building data pipelines, model framework and model deployment.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

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)

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.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions.

Be an essential member of a diverse team of professionals dedicated to making a lasting impact! As a Data Scientist Senior Associate on the Home Lending Data & Analytics team, you will play a pivotal role in deriving actionable insights to support our originations strategy. Your curiosity to proactively explore data, ask insightful questions, and uncover patterns will inform strategic decision-making for business improvement. This position offers you an exciting opportunity for career growth and skill development, where you'll combine quantitative analysis, business acumen, and problem-solving to drive impactful outcomes. To ensure success, you'll partner with Sales, Product, Marketing and other Data & Analytics teams to conduct deep-dive analyses that identify drivers of business performance and recommend actions to improve KPIs. You will build analytical frameworks to support strategic priorities and implement predictive analytic models to drive growth of Home Lending business. Job Responsibilities: Collaborate with Sales, Product, Marketing and other Data & Analytics partners to define objectives and develop data-driven solutions for complex business challenges. Source and integrate data from various platforms to narrate the story of past performance and provide guidance on enhancing business effectiveness in meeting customer needs. Perform descriptive, diagnostic, and inferential analyses to uncover trends, patterns, and actionable business insights. Identify opportunities with the broader team to develop and enhance dashboards & automated reporting tools to facilitate decision making for business partners. Conduct deep-dive analyses to identify and quantify drivers of business performance and recommend actions to improve KPIs. Build analytical frameworks to support strategic and complex business priorities. Implement predictive analytic models within targeted marketing campaigns, including customer segmentation and forecasting the incremental benefits of marketing efforts. Required Qualifications, Capabilities, and Skills: Bachelor's degree and 2+ years of experience in data analysis, business strategy, or related analytics field. Proficiency using SQL, Python, and MS Excel for data manipulation, visualization, and analysis Proven ability to connect data analysis to business strategies and deliver results that drive measurable impact. Exceptional critical thinking, analytical, and communication skills to effectively deliver insights to technical and non-technical audiences. Strong ability to analyze complex problems, dive deep into data, and design innovative solutions. Relentless intellectual curiosity to understand the "why" behind data patterns. Preferred Qualifications, Capabilities, and Skills: Experience with cloud platforms (e.g., AWS, Snowflake) for large-scale data processing. Familiarity with customer segmentation, targeting, or propensity modeling. Background in financial services, mortgage, or related domains is a plus. This role is not eligible for visa sponsorship or relocation assistance

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 *****************************.

Bachelors Degree in a quantitative field required with minimum of 1 year of experience; Masters degree preferred. Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts and experience with applications. Ability to write clean and concise code, especially in R or Python. Keen eye for detail and thoughtful investigation of data before relying upon it. Ability to work in a professional, confident manner. Sound prioritization and time management skills. Intuition for data science best practices, stemming from proven experience.

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

**Why USAA?** At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. **The Opportunity** We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is **not** available for this position. The **Senior Graph Data Scientist - Identity Analytics** is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: + Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts + Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities + Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes + Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits + Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience + Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance + Exports insights to decision systems to enable better fraud targeting and model development efforts + Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks + Collaborate with the broader analytics community to share standard methodologies and techniques **What you'll do:** + Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. + Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. + Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. + Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. + Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. + Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. + Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. + Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. + Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. + Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. + Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. + Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. + Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. + Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. **What you have:** + Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. + 6 years of experience in a predictive analytics or data analysis + 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. + 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. + Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency). + Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. + Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. + Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. + Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. + Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. + Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. + Experience guiding and mentoring junior technical staff in business interactions and model building. + Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. **What sets you apart:** + US military experience through military service or a military spouse/domestic partner + Graduate degree in a quantitative subject area + Over 4 years of experience with model development or other advanced fraud detection algorithms + Over 3 years of experience with graph databases and graph solutions + Experience in fraud/financial crimes model development **Compensation:** The salary range for this position is: **$143,320- $257,970.** **USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).** **Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. **Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. _Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._ _USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._ **If you are an existing USAA employee, please use the internal career site in OneSource to apply.** **Please do not type your first and last name in all caps.** **_Find your purpose. Join our mission._** USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity. USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members. USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law. California applicants, please review our HR CCPA - Notice at Collection (********************************************************************************************************** here. USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.