Data scientist jobs in Grapevine, TX - 440 jobs

Contract Type: W2 Only Job Title: Data Scientist We are seeking a mid-level Data Scientist to join our team and help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Required Skills: Research, prototype, and develop AI/ML solutions for customer segmentation and personalization. Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact. Build, deploy, monitor, and analyze machine learning models in production environments. Apply statistical experimentation techniques when launching and iterating on AI-driven products. Partner closely with data, product, marketing, and engineering teams to align solutions with business goals. Translate complex analytical findings into clear, actionable insights for non-technical stakeholders. Stay current with emerging tools, frameworks, and best practices in data science and experimentation. Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence. Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: 2+ years of experience in statistical data science, feature engineering, and customer segmentation. 2+ years of hands-on experience with Python, SQL, and PySpark. 2+ years of experience training, evaluating, and deploying machine learning models. 2+ years of experience productionizing ML workloads in AWS or Azure. Familiarity with containerized deployments using Docker and/or Kubernetes. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: Experience working with the Databricks platform. Experience building ML models using large-scale structured and unstructured data. Exposure to MarTech ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs) Experience integrating data science solutions into marketing and personalization workflows.

The Principal Data Consultant works in partnership with Product Management, Sales, Customer Support, Order Management, Data Delivery centers, and other cross-functional groups to define and document requirements for standard and custom data products, and to further provide analytical and liaison support to the delivery of sustainable and streamlined data solutions. The **hybrid-remote** PrincipalData Consultant leverages both data and client knowledge to define and align customer requirements to data extract specifications and deliverables while providing support to account executives and product managers regarding the applicability of CoreLogic data to business use cases.* Facilitate discovery of business requirements from client's perspective, translated into specifications which will deliver the right mix of data elements to enable clients to make timely and insightful decisions* Collaborate with clients and internal stakeholders to ensure data needs are well understood* Gather requirements from internal and external stakeholders to write extract specifications that meet client's needs* Define user stories and requirements and conduct research / analysis in support of developing standardized layouts and packages to meet requirements* Write detailed descriptions of user needs (including acceptance criteria) for the development of custom data extracts, or (preferentially) new standard data products* Validate specifications with internal and external stake-holders to ensure they are consistent with articulated business requirements and deliver the expected results* Coordinate issue resolution across multiple teams* Bachelor's degree in Business Administration, Computer Science, relevant discipline, or equivalent experience.* Typically has 10+ years of Business/Process Analyst or directly related experience in the same or related industry* Excellent written and oral communication skills* Ability to translate business requirements into complete and deliverable specifications·* Excellent organizational and project management and facilitation skills. Ability to prioritize and handle multiple concurrent projects* Excellent interpersonal skills for interacting with/influencing cross-functional teams and gaining consensus. Strong listening and question-based knowledge gathering skills* Ability to synthesize and analyze data from a variety of sources, identify issues, draw conclusions, and craft solutions* Experience working as a member of a distributed team. Ability to organize and coordinate with stakeholders across multiple functions and geographic locations* Domain knowledge covering one or more aspects of the real estate economy (mortgage servicing, property insurance, credit, etc)* Experience authoring SQL queries.* Familiarity with diverse coding, profiling, and visualization approaches including Python, Tableau, and Google Cloud* Extensive knowledge of client base, product, and data offerings* Understanding of Big Data, Cloud, Machine Learning approaches and concepts Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. Please navigate to "location" and filter on desired country under the "locations". ex: United States, Canada, United Kingdom, India# We have some exciting news to share with you, CoreLogic will now be called Cotality! Our new brand reflects our commitment to delivering innovative solutions and building deep relationships.Speaking of fresh starts-if you're thinking about making a change, and you're someone who wants to work for a growing company with a people-first culture which has earned us Great Place to Work recognitions in six countries, apply today!Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.If you need reasonable accommodation to complete the on-line application, please contact Talent Acquisition at ******************** or **************.Please include the following information in your email:The specific accommodation you're requesting to complete an employment application the position you are applying for (job title and/or job number)********************. Please allow up to three business days to receive a response.Please include the following information in your email:*Your organization's name**Organization's location(s)**Brief description of your need*Cotality is aware of schemes involving fraudulent job postings on third-party employment search sites and/or individual(s) or entities claiming to be employees of Cotality. Those involved are offering fraudulent employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Cotality or a Cotality recruiter, please contact Cotality at ********************.* Please be advised that all legitimate correspondence from a Cotality employee will come from "@Cotality.com" or "@CoreLogic.com" email accounts.* Cotality will not **interview** candidates via text or email. Our interviews will be conducted by recruiters and leaders via the phone, zoom/teams or in an in-person format.* Cotality will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.Please click to view the Cotality Applicant Privacy Statement.By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. #J-18808-Ljbffr

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.

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.

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.

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

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

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

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.

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.

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.

Transform data into business insights and drive innovation in Payments Transformation business, enhancing customer experiences and shaping the future of financial services. As a Data Scientist Lead, Vice President on the Payments Instrumentation and Metrics Analytics team, you will be at the forefront of developing data solutions that drive business impact. You will play a pivotal role in ensuring data-driven analysis and automated reporting, shape group strategy, assess opportunities, and measure progress against key objectives. This role is a mix of data science, consulting (problem solving, thought leadership, client management), and product management across the development and implement lifecycle for product analytics solutions. Overall, this role presents an opportunity to apply analytics and strategy skills to a broad range of challenges, learn about financial services lines of business and products (e.g., payments, banking, and digital), gain exposure to cutting edge technologies (e.g. Databricks, Snowflake, Streamlit, ThoughtSpot, Sigma ,Python, Alteryx and Tableau) and methods, and communicate insights to a wide range of stakeholders and leadership audiences. The Payments Instrumentation and Metrics team, works with top providers of payment, fraud management, and data security solutions, supporting transactions in over 130 currencies. The Payments I&M team, comprised of data scientists, design strategists, and business leaders, crafts data products that transform business operations. Be part of a team that impacts thousands of clients globally and promotes significant change within J.P. Morgan. **Job responsibilities** + Automating analyses into dashboards and analytics products used across Payments Transformation product teams and senior-level management reporting to enhance the customer experience at scale + Conducting quantitative analysis to identify strategic, actionable opportunities for the Payments Transformation Product business + Working with large data sets to conduct analyses that include scoping, gathering, wrangling, and visualization + Supporting the prototyping of machine learning algorithms, communicating analytical results to various audiences, and assessing new data sources and techniques + Adhering to standards of excellence of the team by demonstrating professional expertise, strong work ethic, integrity, and professional behavior + Develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. + Extract and understand data to form an opinion on how to best help our clients and derive relevant insights. + Resolve issues and remove barriers that hinder analytics initiatives. + Create metrics to measure the impact and effectiveness of investments in new products or enhancements of existing products. + Deliver tactical and strategic product and market insights through analytics, reporting and state of the art visualization techniques. + Organize and manage multiple projects with diverse cross-functional stakeholders at once. **Required qualifications, capabilities, and skills** + Consulting orientation with ability to influence cross-functional teams + Self-starter with out-of-the box quantitative and qualitative problem solving skills + Strong time management skills, with ability to multi-task and keep multiple tracks of analysis moving, and drive to bring new ideas to life + Strong SQL programming skills optimizing to handle extremely large data sets + Strong experience with one or more major data visualization tools including Tableau, ThoughSpot, Alteryx . + Excellent written and oral communication and presentation skills with experience communicating effectively with diverse audiences across business and technology + Communicating data-driven insights and conveying actionable recommendations. + Managing analytics/data science projects from scoping to delivery, and engaging with stakeholders + Ability to work autonomously while providing regular status updates and meeting objectives. **Preferred qualifications, capabilities, and skills** + 4+ years of experience in a consulting or industry position supporting a data or reporting function + Deep understanding of the financial services or Payments industry + Experience using machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, causal inference, and natural language processing) + Experience building data applications using Streamlit/ThoughtSpot + Experience building data visualizations using Tableau + Experience using data warehousing tools, specifically Snowflake or Databricks 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 **Base Pay/Salary** Brooklyn,NY $142,500.00 - $210,000.00 / year

⦁ 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

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.

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.

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.

JobID: 210699258 JobSchedule: Full time JobShift: Base Pay/Salary: Chicago,IL $114,000.00-$165,000.00 Come join us in reshaping the future! The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes, and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization. This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch. Job Responsibilities: * Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks. * Utilize advanced analytics to identify opportunities and support our bankers' as they build lasting relationships to help clients navigate their financial needs over time. * Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed. * Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources. * Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required. * Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic. * Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions. Required qualifications, capabilities and skills: * Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services. * 3+ years of experience with optimization and machine learning models design and implementation - can be in a marketing, operational, or digital setting. * Expertise implementing next-gen models using machine learning. * Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. * Problem-solving skills are essential. * Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity. * Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards.

Transform data into business insights and drive innovation in Payments Transformation business, enhancing customer experiences and shaping the future of financial services. As a Data Scientist Lead, Vice President on the Payments Instrumentation and Metrics Analytics team, you will be at the forefront of developing data solutions that drive business impact. You will play a pivotal role in ensuring data-driven analysis and automated reporting, shape group strategy, assess opportunities, and measure progress against key objectives. This role is a mix of data science, consulting (problem solving, thought leadership, client management), and product management across the development and implement lifecycle for product analytics solutions. Overall, this role presents an opportunity to apply analytics and strategy skills to a broad range of challenges, learn about financial services lines of business and products (e.g., payments, banking, and digital), gain exposure to cutting edge technologies (e.g. Databricks, Snowflake, Streamlit, ThoughtSpot, Sigma ,Python, Alteryx and Tableau) and methods, and communicate insights to a wide range of stakeholders and leadership audiences. The Payments Instrumentation and Metrics team, works with top providers of payment, fraud management, and data security solutions, supporting transactions in over 130 currencies. The Payments I&M team, comprised of data scientists, design strategists, and business leaders, crafts data products that transform business operations. Be part of a team that impacts thousands of clients globally and promotes significant change within J.P. Morgan. Job responsibilities Automating analyses into dashboards and analytics products used across Payments Transformation product teams and senior-level management reporting to enhance the customer experience at scale Conducting quantitative analysis to identify strategic, actionable opportunities for the Payments Transformation Product business Working with large data sets to conduct analyses that include scoping, gathering, wrangling, and visualization Supporting the prototyping of machine learning algorithms, communicating analytical results to various audiences, and assessing new data sources and techniques Adhering to standards of excellence of the team by demonstrating professional expertise, strong work ethic, integrity, and professional behavior Develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Extract and understand data to form an opinion on how to best help our clients and derive relevant insights. Resolve issues and remove barriers that hinder analytics initiatives. Create metrics to measure the impact and effectiveness of investments in new products or enhancements of existing products. Deliver tactical and strategic product and market insights through analytics, reporting and state of the art visualization techniques. Organize and manage multiple projects with diverse cross-functional stakeholders at once. Required qualifications, capabilities, and skills Consulting orientation with ability to influence cross-functional teams Self-starter with out-of-the box quantitative and qualitative problem solving skills Strong time management skills, with ability to multi-task and keep multiple tracks of analysis moving, and drive to bring new ideas to life Strong SQL programming skills optimizing to handle extremely large data sets Strong experience with one or more major data visualization tools including Tableau, ThoughSpot, Alteryx . Excellent written and oral communication and presentation skills with experience communicating effectively with diverse audiences across business and technology Communicating data-driven insights and conveying actionable recommendations. Managing analytics/data science projects from scoping to delivery, and engaging with stakeholders Ability to work autonomously while providing regular status updates and meeting objectives. Preferred qualifications, capabilities, and skills 4+ years of experience in a consulting or industry position supporting a data or reporting function Deep understanding of the financial services or Payments industry Experience using machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, causal inference, and natural language processing) Experience building data applications using Streamlit/ThoughtSpot Experience building data visualizations using Tableau Experience using data warehousing tools, specifically Snowflake or Databricks