Senior data scientist jobs in Irving, TX

Our client in Dallas, TX is looking to add a Sr. Data Solutions Architect to their team. This is a hybrid role. 2 days in the office each week. This is a full time role and not open to contract or C2C candidates. US Citizenship or Green Card Required About the Role Are you ready to help shape the future of enterprise intelligence? As a Senior Data Solutions Architect, you will lead the design and implementation of modern data platforms that solve complex business challenges. This role goes beyond traditional data engineering-it focuses on enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies such as ontologies, knowledge graphs, NLP, agentic AI, and MCP frameworks. You will bridge business strategy and technical execution, creating scalable, secure, and intelligent data ecosystems that power advanced analytics and AI-driven transformation. What You'll Do Architect, build, and implement AI-ready data platforms, integrations, and application solutions across diverse technologies. Design and operationalize ontologies and knowledge graphs to support semantic data integration and contextual analytics. Integrate agentic AI frameworks to automate multi-step workflows and enhance decision-making. Own the end-to-end development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and maintain integrations across enterprise systems-including data lakes, data warehouses, and third-party APIs-ensuring performance, reliability, and consistency. Apply NLP techniques to extract insights from structured and unstructured data, enabling conversational and contextual analytics. Partner with stakeholders across departments to translate business needs into secure, scalable technical solutions. Collaborate with developers, data analysts/engineers, and external partners to deliver cross-functional data solutions. Define and maintain technical artifacts such as data flow diagrams, integration patterns, and metadata repositories. Ensure robust data governance, security, and compliance across all solutions. Stay current on emerging technologies and industry best practices. What You'll Need To be successful in this role, you should meet the following qualifications. Reasonable accommodations may be made for individuals with disabilities. Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 10+ years of experience, including at least 3 years in data architecture or data product development. Demonstrated expertise in building data platforms and data products. Strong understanding of NLP, LLMs, and advanced analytics workflows. Hands-on experience with agentic AI systems and frameworks. Extensive experience with data modeling, integration patterns, and semantic technologies; exposure to ontologies and knowledge graphs is a plus. Knowledge of Master Data Management and data governance frameworks. Experience with BI and reporting tools. Deep familiarity with modern data platforms such as Snowflake, Databricks, or Azure Synapse. Proficiency in data modeling, metadata management, and orchestration tools. Excellent communication skills and the ability to lead collaborative initiatives. Experience working in agile environments and guiding cross-functional teams.

About the Company As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. This role goes beyond traditional data engineering it's about enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies like Ontology, Knowledge Graphs, NLP, Agentic AI, and MCP. You'll be the extension business strategy and technical execution, shaping scalable, secure, and intelligent data ecosystems that power sophisticated analytics and AI-driven transformation. About the Role As a Senior Data Solutions Architect, you'll own the design and implementation of modern data platforms that tackle sophisticated business problems. Responsibilities Build, develop, and implement modern AI-ready data architectures, integrations, and application solutions that span multiple platforms and technologies. Compose and operationalize ontologies and knowledge graphs to enable semantic data integration and contextual analytics. Integrate Agentic AI frameworks to automate multi-step workflows and decision-making. Own the development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and support integrations between enterprise systems including data lakes, warehouses, and third-party APIs ensuring performance, reliability, and data consistency. Apply NLP techniques to extract insights from structured & unstructured data and enable conversational analytics. Collaborate with collaborators across departments to translate business needs into technical requirements and scalable and secure technical solutions. Collaborate with other developers, data analysts/engineers, and vendors to deliver multi-functional solutions. Define and maintain artifacts, including data flow diagrams, integration patterns, and metadata repositories. Ensure data governance, security, and compliance across all solutions. Remain up to date in new and emerging technologies. Qualifications Bachelor's or Master's degree in computer science, Data Engineering, or related field. 10+ years of experience with at least 3 years' experience in data architecture, data products. Required Skills Proven expertise in building Data platforms & Data products. Solid understanding of NLP, LLMs, and advanced analytics workflows. Hands-on experience with Agentic AI systems and frameworks. Substantial experience with data modeling, integration patterns & semantic technologies. Exposure to Ontology & Knowledge Graph is a plus. An understanding of Master Data Management and Data Governance frameworks. Experience with BI/reporting tools. Deep familiarity with modern data platforms (Snowflake, Databricks, Azure Synapse). Experience with data modeling, metadata management, and orchestration tools. Excellent communication and collaborator leadership skills. Experience working in agile environments and leading multi-functional teams. Preferred Skills Exposure to Ontology & Knowledge Graph is a plus. Pay range and compensation package Full time Opportunity Equal Opportunity Statement Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in remote. Build, optimize, and maintain customer data pipelines in PySpark/Databricks to support CDP-driven use cases across AWS/Azure/GCP Transform raw and integrated customer data into analytics-ready datasets used for dashboards, reporting, segmentation, personalization, and downstream AI/ML applications Develop and enrich customer behavior metrics, campaign analytics, and performance insights such as: ad engagement, lifecycle metrics, retention Partner with Marketing, Sales, Product, and Data Science teams to translate business goals into metrics, features, and analytical data models Build datasets consumed by Power BI/Tableau dashboards (hands-on dashboard creation not required) Ensure high cluster performance and pipeline optimization in Databricks, including troubleshooting skewed joins, sorting, partitioning, and real-time processing needs Work across multiple cloud and vendor ecosystems such as: AWS/Azure/GCP; Hightouch or comparable CDP vendors Participate in the data ingestion and digestion phases, shaping integrated data into analytical layers for MarTech and BI Contribute to and enforce data engineering standards, documentation, governance, and best practices across the organization Desired Skills/Experience: 6+ years of experience in Data Engineering, Analytics Engineering, or related fields, including data modeling experience Strong Data Engineering fundamentals with the ability to design pipelines, optimize performance, and deliver real-time or near-real-time datasets Ability to deeply understand data, identifying gaps, designing meaningful transformations, and creating metrics with clear business context Understanding of how customer data moves through Customer Data Platforms (CDPs) and how to design pipelines that integrate with them Experience supporting Marketing, Customer Data, MarTech, CDP, segmentation, or personalization teams strongly preferred Hands-on experience required with: Databricks, PySpark, Python, SQL, Building analytics datasets for dashboards/reporting and customer behavior analytics or campaign performance insights Experience designing and implementing features that feed downstream AI or customer-facing applications Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $150-160,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

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.

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

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. **Job Summary** This position is responsible for providing advanced mathematical and statistical methods to solve business problems. Data Scientists collect, integrate and analyze data from sources related to health status and outcomes for our members, characteristics of health care providers, internal business processes, and other domains. Data Scientists perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Data Scientists use machine learning and probabilistic modeling to construct predictive algorithms to support data analysis or product functions; they verify model and algorithm effectiveness based on real-world results. Data Scientists design experiments and methodologies to generate and collect data for business use. Data Scientists create visualizations, interactive analytical applications and interpretive artifacts to support business application of data science findings. **Required Job Qualifications:** + Bachelor's degree and 1 year of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential; OR Master's degree in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field without experience; OR 5 years experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field. + Learning and growth mindset. + Customer focus + Interpersonal, verbal and written communication skills. + Experience in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare. **Preferred Job Qualifications:** + Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience. **Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!** **Pay Transparency Statement:** At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting ************************************* . The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan. **HCSC Employment Statement:** We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. **Base Pay Range** $69,200.00 - $146,700.00 Exact compensation may vary based on skills, experience, and location. **Join our talent community and receive the latest HCSC news, content, and be first in line for new job opportunities.** **Join our Talent Community. (******************************************** PA8v\_eHgqFiDb2AuRTqQ)** For more than 80 years, HCSC has been dedicated to expanding access to high-quality, cost-effective health care and equipping our members with information and tools to make the best health care decisions for themselves and their families. As an industry leader, HCSC also has been helping to make the health care system work better for all Americans. To remain a leader, we offer compelling careers that encourage resourcefulness, strategic thought and empower you to make a difference in the lives of our members and their communities. Today, with the industry at an important crossroad, HCSC is reimagining health care and looking for original thinkers who aren't afraid to make innovative contributions. We are an Equal Opportunity Employment employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Learn more about HCSC, our commitment to our members and the opportunity you'll have to improve health care delivery in an open, collaborative environment. HCSC is committed to diversity in the workplace and to providing equal opportunity to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at ************** to request reasonable accommodations. Please note that only **requests for accommodations in the application process** will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "candidate home" to view your job submissions. Blue Cross and Blue Shield of Illinois, Blue Cross and Blue Shield of Montana, Blue Cross and Blue Shield of New Mexico, Blue Cross and Blue Shield of Oklahoma, and Blue Cross and Blue Shield of Texas, Divisions of Health Care Service Corporation, a Mutual Legal Reserve Company, and Independent Licensee of the Blue Cross and Blue Shield Association © Copyright 2025 Health Care Service Corporation. All Rights Reserved.

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.

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 ********************

You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years - scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company's most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible - insurance, buy/sell, registration, loans, safety, repairs, parking, etc - a $2T market in the U.S. We started with insurance in 2019, and since then we've launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor's degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company's C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* The successful candidate's starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America's first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers - and we're just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that's disrupting a massive market.

⦁ Defines , creates and enhances database models for operational and reporting needs for specified domain. ⦁ Create , build, design database schemas to enable high throughput OLTP transactions ⦁ Code stored procs , packages, triggers using standard database patterns and ensure optimal performance and a secure codebase. ⦁ Troubleshoot and identify areas of improvement and recommend solutions to fix observed or potential issues with design, performance or security. ⦁ Ensures adherence to Enterprise data movement , quality and accountability standards in technology. ⦁ Conducts data driven analyses of usage of detailed data elements across the business domain to provide optimal data provisioning patterns across the application space. ⦁ Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value. Challenges data and information integrity. Works as a business partner that provides decision support to various LOB unit leaders. ⦁ Leads discussion in the ongoing development and operations of both operational data models and business intelligence architecture that enables fast real time access to data as well as fact-based decision making and ad hoc analysis and insight generation. ⦁ Operational Data Store modeling, design and development ⦁ Design and prototype new analyses, reports, applications and systems ⦁ Enhancing old processes and defining new ones ⦁ Data mining and producing novel reports for management ⦁ Works closely with Line of Business Client to develop and enhance SQL data base solution Salary Range- $125,000-$130,000 a year

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners. Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society. Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large. As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results. As a Data Scientist, you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation. Key Responsibilities Experience in the full ML lifecycle - understanding, developing, deploying, and maintaining traditional data science solutions. Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks. Strong programming skills in Python or PySpark. Solid understanding of supervised + unsupervised learning algorithms and concepts. Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts. Experience in the optimization and tuning of machine learning solutions to handle large volumes of data. Outstanding verbal and written communication skills. Excellent presentation and whiteboarding skills. Experience communicating highly technical concepts to non-technical audiences. Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements. Skills, Knowledge and Expertise Bachelor's degree in computer science or related field Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus Experience with GitHub or Azure DevOps Prior consulting and business development experience a plus.

Duties: Build advanced machine learning and NLP models to address complex business challenges and enhance product capabilities. Design and implement creative software solutions that integrate machine learning models into real-world business flows, leveraging programming languages for production-quality code development. Collaborate with product managers and partner teams to translate business requirements into technical specifications and designs, incorporating state-of-the-art machine learning models. Develop scalable APIs using cloud services, ensuring secure and high-quality production code that meets industry standards. Utilize CI/CD tools and containerization methodologies to deploy code into production environments, automating processes to enhance operational stability and efficiency. Facilitate data pipelines to ensure seamless integration of machine learning models into existing systems. Drive evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials, ensuring applicability within existing information architecture. Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across various business areas, contributing to reusable code and components. Engage in independent research and exploration of new machine learning methods to stay abreast of advancements and apply them to complex business- critical problems. Implement statistical analysis and testing to validate machine learning models and ensure their effectiveness in solving business problems, providing insights into data-driven decision-making processes. Develop and utilize knowledge graphs to enhance data connectivity and semantic understanding, enabling advanced data analytics and solving problems such as fraud detection. QUALIFICATIONS: Minimum education and experience required: Master's degree in Data Science, Machine Learning, Computer Science, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Software Engineer, Machine Learning Engineer, Research Engineer, or related occupation. The employer will alternatively accept a Bachelor's degree in Data Science, Machine Learning, Computer Science, or related field of study plus 5 years in the job offered or as Data Scientist, Software Engineer, Machine Learning Engineer, Research Engineer, or related occupation. Skills Required: This position requires experience with the following: Applying statistical methods and probability theory for effective hypothesis and A/B testing to enhance machine learning models and business decisions; Designing and developing machine learning models to address real-world business challenges using structured and unstructured data; Leveraging Python for machine learning model development, training, and inference using a rich library ecosystem; Integrating knowledge graphs with ML models to infer data relationships to enhance semantic understanding and AI decision-making; Building backend services using Java, and integrating solutions into business systems with multi-threading and multiprocessing for performance and security; Streamlining software development and deployment using Jenkins for CI/CD pipelines; Containerizing ML applications using Docker for consistent, scalable deployment; Deploying ML models with AWS services such as SageMaker leveraging AWS infrastructure for data storage, processing, and hosting; Employing Informatica for data integration and ETL processes, ensuring quality data management for timely analysis; Automating and scheduling workflows using Autosys for efficient machine learning and data pipeline execution; Providing modular, scalable software solutions using Microservices architecture integrating ML models into business workflows. Job Location: 8181 Communications Pkwy, Plano, TX 75024

Placed at the heart of Gensler's People + Process + Technology the Global Design Technology Studio drives the firm's digital transformation of our creative and project delivery practices throughout the globe. Our ultimate outcome is to co-create a design technology ecosystem that enables our practitioners to leverage the most advanced methodologies and technological solutions reaching a new level of creativity and delivering the most impactful designs to our clients. So, if you are a disruptive technologist that's ready to change the world with big and impactful ideas, we want you to join our growing and innovative award-winning team! The Global Design Technology Studio at Gensler is looking for a Senior Data Scientist to join our team. In this role you will bring crucial leadership and capability into our Design Technology team that is delivering innovative solutions connecting the data and outcomes from our designs to our practitioners, projects, and clients through a highly creative and collaborative culture. You will be required to demonstrate strong technical aptitude with traditional and cutting-edge methodologies for the collection, management, analysis, synthesis, and assessment of large datasets with an objective of identifying trends, insights, and opportunities for improvement. **Gensler is open to other locations for the candidate who meets all of the required and desired qualifications. Please note, you would be required to commute into the office 5 days per week. What You Will Do Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data originating and extracted from data-rich design authoring tools Leverage the outcomes of trained data models to explore trends and define insights in alignment with business and client needs Define and develop data pipelines in MS Azure to deliver data and insights via Web APIs into data visualization platforms and other Gensler IP in partnership with Data Engineering colleagues Collaborate with studio colleagues on strategies & innovative solutions for driving insights back into early stages of the design process Research opportunities and implement the integration and correlation of additional datasets such as geospatial data, proprietary data, and operational data Research emerging technologies in the AEC space and make recommendations on build vs. buy strategies Support R&D of future Strategic Insights initiatives Support a fast-growing data-driven design community of practitioners in the firm Support and drive technical upskilling of project teams to implement sophisticated PowerBI solutions on projects Participate in the convergence of multiple aspects of our overall digital strategy with data and insights generation in alignment with business goals Your Qualifications Bachelor's or Master's degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science. 15+ years of strong practical experience in statistical analysis, machine learning, and / or predictive modeling (AEC Industry experience a plus) Ability to work in a highly creative environment and collaborate on solutions to complex problems Track record of staying current with best practices and new technology solutions Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases Proficiency in SQL, Python and R (or equivalent) programming languages for data manipulation, analysis, and model development Experience with various machine learning & generative ai technologies, performance evaluation and creating end-to-end ML pipelines in Azure Experience with generative AI models & development frameworks, specifically around LLMs and NLP Understanding of Data governance practices, data privacy regulations, and security best practices Proficiency with Data Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and / or streamlit. Experience with using Git + source control in a team environment Experience with Microsoft Fabric is a plus Experience with development of serverless compute services like Azure Functions a plus Computer Vision experience is a plus Experience in REST API service development a plus C# as well as event-driven architectures is a plus Azure (or other cloud provider) certifications a plus Life at Gensler At Gensler, we are as committed to enjoying life as we are to delivering best-in-class design. From curated art exhibits to internal design competitions to “Well-being Awareness Week,” our offices reflect our people's diverse interests. We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flex spending, paid holidays, and paid time off. We also offer a 401k, profit sharing, employee stock ownership, and twice annual bonus opportunities. Our annual base salary range has been established based on local markets. As part of the firm's commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future.

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. We can recommend jobs specifically for you! Click here to get started.

Support data modeling process, creating algorithms and predictive models, as well as performing custom analysis Support identification of key indicators both for compliance and effectiveness critical to mission/business success Support manipulation of large data sets and using them to identify trends and reaching meaningful conclusions Support ability to clean, aggregate and organize data from multiple sources and transfer this information to data warehouses Support data requirements and ensure storage, availability and coherence of electronically stored information to guarantee it meets the organization's needs

Technical and Functional Skills : Primary: Data science Secondary: Python, AI/ML/NLP, Agile tools Experience: 7 to 10+ Years * 7+ years of experience as Data Scientist or related roles * Bachelor's degree in Computer Science, or a related technical field * Deep understanding and some exposure to new Gen AI Open-source Models * At least 5 years programming experience in software development and Agile process * At least 5 years Python (or equivalent) programming experience to work with ML/NLP models. * Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization * Experience in ML/NLP development pipelines of large data sets, both structured unstructured * At least 2 years' experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing * Knowledge and hands-on experience working with OCR products * Master's degree in Computer Science/Data Science, or a related technical field * Collaborating with a diverse set of partners and stakeholders from various Line of Business. * Highly motivated, proactive and a self-starter; strong sense of ownership ability to create and execute plans without daily oversight * Critical thinker; ability to analyze problems and identify issues and provide solutions * Ability to navigate the enterprise data assets across multiple functions. * Highly organized. Effectively prioritizes and balances multiple efforts in a fast-paced environment * Excellent communication and Presentation skills * Analytical abilities, great problem solving, client focused Salary Range- $95,000-$120,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Join the Merchant Services Cost Insights team within JPM Payments Data & Analytics at JPMorgan Chase. Here, we harness data science, research, and business expertise to drive client-centric innovation. Utilize your technical skills on projects focused on cost-based analytics and advanced GenAI applications, crafting impactful solutions for Chase Merchant Services clients. As a Data Analytics Associate on our Merchant Services Cost Insights team, you will be instrumental in developing interactive dashboards for both internal and external use, and enhancing business processes to deliver value and growth for our clients. You will participate in projects that merge data science, research, and business knowledge, concentrating on cost-based analytics, business intelligence, data engineering, and visualization. Your role will involve using your technical skills and business insight to collaboratively design and implement comprehensive solutions with significant commercial impact for our clients and customers. Our team supports both internal Payment Insights and external Digital Merchant Insights applications, along with custom client analytics requests on an as-needed basis. **Job Responsibilities:** + Design and execute analytic projects by comprehending business objectives and conducting thorough analyses to recommend solutions that align with project goals. + Employ tools such as Snowflake, Python, and Tableau to develop data pipelines and dashboards, facilitating AI-driven insights and informed decision-making. + Provide merchants with actionable recommendations to enhance their cost strategies. + Sustain and enhance the capabilities of existing analytic products for both internal and external audiences. + Work collaboratively with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms. + Follow change control and testing procedures for any modifications to code and products. **Required qualifications, capabilities and skills:** + Bachelor's or Master's degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field with minimum 2 years' of relevant work experience. + Experience in writing complex SQL queries, with knowledge of assessing and sourcing data, optimizing data structures, and managing database query performance. + Expertise in quantitative research techniques and analytics using Python. + Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables. + Strong written and oral communication skills to clearly present analytical findings and make business recommendations and prepare executive level communications. + Proven ability to collaborate effectively and cultivate strong partnerships. **Preferred qualifications, capabilities and skills:** + Ability to perform rapid prototyping in Tableau and streamlit. + Experience in the payments industry and/or technology-enabled industries is desirable. + Familiarity with Snowflake and foundational understanding of cloud services. + Attention to detail with a proven ability to learn new concepts and skills quickly. + Ability to clearly develop and document analytic requirements with stakeholders. + Knowledge of machine learning/data science theory, techniques, and tools. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

As a Data Scientist VP in CTC Architecture's new and emerging risk department, you'll join an organization that leverages your skills to help develop, test and scale data science enabled solutions that help secure our systems by design, protect our data and strengthen resiliency. Your ability to understand data relationships and take ownership of data-driven tasks will be key to your success. You'll also develop approaches and/or processes to accomplish goals with an emphasis on A/B testing & advanced analytics. You will help drive a number of experimental engagements that will leverage data science to robustly evaluate the effect of novel interventions in the software, model and data development lifecycles, and scale their deployment across different firmwide teams. You will help to thoughtfully scope, execute and advocate for experiments and generate evidential results that will credibly guide scaled-up initiatives that reduce our partners' cybersecurity/technology risk, increase developer velocity, enhance engineering experience, or reduce toil. A key thematic focus across the experimental portfolio will be on developing novel insights on how AI-driven solutions can be developed and used by firmwide partner teams, at maximum velocity, and minimum risk. You'll utilize strong communication skills to develop relationships, spark curiosity and direct collaboration with key stakeholders and partners across functions and lines-of-business. Many experiments are focused on how human decision-making intersects with risk, so experience with human-centered design, behavioral economics and security engineering will be valuable. **Job Responsibilities:** + Design, implement, and analyze A/B tests to evaluate the effectiveness of various strategies, initiatives, and ML/AI models + Collaborate with cross-functional teams to identify testing opportunities and develop hypothesis-driven proposals for novel risk reduction strategies, along with the rationale for how they advance the priorities of the businesses we support + Leverage a variety of statistical and mathematical techniques and algorithms to analyze datasets and solve complex business problems + Obtain and validate data assets for experimental use, either through familiarity with the firm's systems of record, and/or through developing relationships with x-LoB data SMEs + Ensure rigorous statistical analysis and interpretation of test results to inform business decisions + Identify creative opportunities to enrich and extend hypothesis-driven data experimentations using the firm's existing data assets, to drive incremental value + Integrate successful solutions with the existing JPMC application estate, Governance, Risk, Control ecosystem, and systems of record + Prepare concrete delivery plans for how to scale up validated solutions - use case cadence, stakeholder priorities, infrastructure required, feature roadmap, obstacles foreseen etc + Develop data-driven narratives that summarize and communicate key messages to senior management, sponsors, and colleagues **Required Qualifications, Capabilities, and Skills:** + 5+ years of experience working in an A/B testing and/or analytical role and/or enterprise data science role + MS degree in a related field, such as Data Science, Applied Mathematics, Statistics, Engineering, Economics, or similar STEM discipline + Experience using statistical programming languages (Python, R) to manipulate data and draw insights from large data sets + Demonstrable curiosity about enterprise technology, risk and decision-making + Practical understanding of ML/AI and its use in enterprise contexts + Adept at explaining and converting complex concepts into digestible information for audiences at various levels of the business + Strong storytelling capabilities **Preferred Qualifications, Capabilities, and Skills:** + Functional industry experience in finance, cybersecurity, operations, sales, marketing, credit/risk, or technology + Knowledge of the cybersecurity industry + Experience working with UX research techniques + CISSP + Experience working in management/strategy/technology consulting \#CTC JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans