Data Scientist jobs at Deluxe Corporation

No C2C We're looking for a hands-on Data Engineer to help build, scale, and fine-tune real-time data systems using Kafka, AWS, and a modern data stack. In this role, you'll work deeply with streaming data, ETL, distributed systems, and PostgreSQL to power analytics, product innovation, and AI-driven use cases. You'll also get to work with AI/ML frameworks, automation, and MLOps tools to support advanced modeling and a highly responsive data platform. What You'll Do Design and build real-time streaming pipelines using Kafka, Confluent Schema Registry, and Zookeeper Build and manage cloud-based data workflows using AWS services like Glue, EMR, EC2, and S3 Optimize and maintain PostgreSQL and other databases with strong schema design, advanced SQL, and performance tuning Integrate AI and ML frameworks (TensorFlow, PyTorch, Hugging Face) into data pipelines for training and inference Automate data quality checks, feature generation, and anomaly detection using AI-powered monitoring and observability tools Partner with ML engineers to deploy, monitor, and continuously improve machine learning models in both batch and real-time pipelines using tools like MLflow, SageMaker, Airflow, and Kubeflow Experiment with vector databases and retrieval-augmented generation (RAG) pipelines to support GenAI and LLM initiatives Build scalable, cloud-native, event-driven architectures that power AI-driven data products What You Bring Bachelor's degree in Computer Science, Engineering, Math, or a related technical field 3+ years of hands-on data engineering experience with Kafka (Confluent or open-source) and AWS Experience with automated data quality, monitoring, and observability tools Strong SQL skills and solid database fundamentals with PostgreSQL and both traditional and NoSQL databases Proficiency in Python, Scala, or Java for pipeline development and AI integrations Experience with synthetic data generation, vector databases, or GenAI-powered data products Hands-on experience integrating ML models into production data pipelines using frameworks like PyTorch or TensorFlow and MLOps tools such as Airflow, MLflow, SageMaker, or Kubeflow

We are looking for a talented and motivated Python Data Engineers. We need help expanding our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs. What you will do: - Translate business requirements into technical deliveries. Drive out requirements for data ingestion and access - Maintain the cleanliness of our Python codebase, while adhering to existing designs and coding conventions as much as possible - Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality - Efficiently coordinate with the rest of our team in different locations Qualifications - 6+ years of enterprise-level coding experience with Python - Computer Science, MIS or related degree - Familiarity with Pandas and NumPy packages - Experience with Data Engineering and building data pipelines - Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. - Strong understating of object-oriented design, design patterns, SOA architectures - Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools. - Strong communication skills - Familiarity with containerization solutions like Docker and Kubernetes is a plus

Thank you for stopping by to take a look at the Data Integration Engineer role I posted here on LinkedIN, I appreciate it. If you have read my s in the past, you will recognize how I write job descriptions. If you are new, allow me to introduce myself. My name is Tom Welke. I am Partner & VP at RSM Solutions, Inc and I have been recruiting technical talent for more than 23 years and been in the tech space since the 1990s. Due to this, I actually write JD's myself...no AI, no 'bots', just a real live human. I realized a while back that looking for work is about as fun as a root canal with no anesthesia...especially now. So, rather than saying 'must work well with others' and 'team mindset', I do away with that kind of nonsense and just tell it like it is. So, as with every role I work on, social fit is almost as important as technical fit. For this one, technical fit is very very important. But, we also have some social fit characteristics that are important. This is the kind of place that requires people to dive in and learn. The hiring manager for this one is actually a very dear friend of mine. He said something interesting to me not all that long ago. He mentioned, if you aren't spending at least an hour a day learning something new, you really are doing yourself a disservice. This is that classic environment where no one says 'this is not my job'. So that ability to jump in and help is needed for success in this role. This role is being done onsite in Irvine, California. I prefer working with candidates that are already local to the area. If you need to relocate, that is fine, but there are no relocation dollars available. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, OPT, EAD, F1, H4, or anyone that is not already a US Citizen or Green Card Holder for this role. The Data Engineer role is similar to the Data Integration role I posted. However, this one is mor Ops focused, with the orchestration of deployment and ML flow, and including orchestrating and using data on the clusters and managing how the models are performing. This role focuses on coding & configuring on the ML side of the house. You will be designing, automating, and observing end to end data pipelines that feed this client's Kubeflow driven machine learning platform, ensuring models are trained, deployed, and monitored on trustworthy, well governed data. You will build batch/stream workflows, wire them into Azure DevOps CI/CD, and surface real time health metrics in Prometheus + Grafana dashboards to guarantee data availability. The role bridges Data Engineering and MLOps, allowing data scientists to focus on experimentation and the business sees rapid, reliable predictive insight. Here are some of the main responsibilities: Design and implement batch and streaming pipelines in Apache Spark running on Kubernetes and Kubeflow Pipelines to hydrate feature stores and training datasets. Build high throughput ETL/ELT jobs with SSIS, SSAS, and T SQL against MS SQL Server, applying Data Vault style modeling patterns for auditability. Integrate source control, build, and release automation using GitHub Actions and Azure DevOps for every pipeline component. Instrument pipelines with Prometheus exporters and visualize SLA, latency, and error budget metrics to enable proactive alerting. Create automated data quality and schema drift checks; surface anomalies to support a rapid incident response process. Use MLflow Tracking and Model Registry to version artifacts, parameters, and metrics for reproducible experiments and safe rollbacks. Work with data scientists to automate model retraining and deployment triggers within Kubeflow based on data freshness or concept drift signals. Develop PowerShell and .NET utilities to orchestrate job dependencies, manage secrets, and publish telemetry to Azure Monitor. Optimize Spark and SQL workloads through indexing, partitioning, and cluster sizing strategies, benchmarking performance in CI pipelines. Document lineage, ownership, and retention policies; ensure pipelines conform to PCI/SOX and internal data governance standards. Here is what we are seeking: At least 6 years of experience building data pipelines in Spark or equivalent. At least 2 years deploying workloads on Kubernetes/Kubeflow. At least 2 years of experience with MLflow or similar experiment‑tracking tools. At least 6 years of experience in T‑SQL, Python/Scala for Spark. At least 6 years of PowerShell/.NET scripting. At least 6 years of experience with with GitHub, Azure DevOps, Prometheus, Grafana, and SSIS/SSAS. Kubernetes CKA/CKAD, Azure Data Engineer (DP‑203), or MLOps‑focused certifications (e.g., Kubeflow or MLflow) would be great to see. Mentor engineers on best practices in containerized data engineering and MLOps.

Trinity Industries is searching for a Sr. Data Engineer to join our Data Analytics team in Dallas, TX! The successful candidate will work with the Trinity Rail teams to develop and maintain data pipelines in Azure utilizing Databricks, Python and SQL. Join our team today and be a part of Delivering Goods for the Good of All! What you'll do: Facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met Work with leadership to prioritize business and information needs Engage with product and app development teams to gather requirements, and create technical requirements Utilize and implement data engineering best practices and coding strategies Be responsible for data ingress into storage What you'll need: Bachelor's Degree Computer Science, Information Management, or related field required; Masters preferred 8+ years in data engineering including prior experience in data transformation Databricks experience building data pipelines using the medallion architecture, bronze to gold Advanced skills in Spark and structured streaming, SQL, Python Technical expertise regarding data models, database design/development, data mining and other segmentation techniques Experience with data conversion, interface and report development Experience working with IOT and/or geospatial data in a cloud environment (Azure) Adept at queries, report writing and presenting findings Prior experience coding utilizing repositories and multiple coding environments Must possess effective communication skills, both verbal and written Strong organizational, time management and multi-tasking skills Experience with data conversion, interface and report development Adept at queries, report writing and presenting findings Process improvement and automation a plus Nice to have: Databricks Data Engineering Associate or Professional Certification > 2023

Summary/Objective Are you looking to work at a high growth, innovative, and purpose driven FinTech company? If so, you'll love Paymentus. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill payment and presentment for more than 1700 clients. We are a SaaS provider that enables companies to help their customers simplify their financial lives. We do that by making it easier for consumers and businesses to pay bills, plus move and manage money to achieve strong financial health. We continually build upon a massively scalable platform, supporting thousands of businesses and millions of transactions on a daily basis. We're looking for high performers to join our team who excel in their expertise and who can transform plans into action. You'll have the opportunity to grow in an environment where intelligence, innovation, and leadership are valued and rewarded. About the Role The Data Conversion Engineer serves as a key component of the Platform Integrations team, providing technical support and guidance on data conversion projects. Conversions are an integral part in ensuring adherence to Paymentus' standards for a successful launch. This role is essential to ensure all bill payment data converts properly and efficiently onto the Paymentus platform. Responsibilities Develop data conversion procedures using SQL, Java and Linux scripting Augment and automate existing manual procedures to optimize accuracy and reduce time for each conversion Develop and update conversion mappers to interpret incoming data and manipulate it to match Paymentus' specifications Develop new specifications to satisfy new customers and products Serve as the primary point of contact/driver for all technical related conversion activities Review conversion calendar and offer technical support and solutions to meet deadlines and contract dates Maintain and update technical conversion documentation to share with internal and external clients and partners Work in close collaboration with implementation, integration, product and development teams using exceptional communication skills Adapt and creatively solve encountered problems under high stress and tight deadlines Learn database structure, business logic and combine all knowledge to improve processes Be flexible Monitor new client conversions and existing client support if needed; provide daily problem solving, coordination, and communication Management of multiple projects and conversion implementations Ability to proactively troubleshoot and solve problems with limited supervision Qualifications B.S. Degree in Computer Science or comparable experience Strong knowledge of Linux and the command line interface Exceptional SQL skills Experience with logging/monitoring tools (AWS Cloudwatch, Splunk, ELK, etc.) Familiarity with various online banking applications and understanding of third-party integrations is a plus Effective written and verbal communication skills Problem Solver - recognizes the need to resolve issues quickly and effectively, uses logic to solve problems; identifies problems and brings forward multiple solution options; knows who/when to involve appropriate people when troubleshooting issues Communication; ability to use formal and informal written and/or verbal communication channels to inform others; articulates ideas and thoughts clearly both verbally and in writing Dynamic and self-motivated; able to work on their own initiative and deliver the objectives required to maintain service levels Strong attention to detail Proficiency with raw data, analytics, or data reporting tools Preferred Skills Background in the Payments, Banking, E-Commerce, Finance and/or Utility industries Experience with front end web interfaces (HTML5, Javascript, CSS3) Cloud technologies (AWS, GCP, Azure) Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers, photocopiers and smartphones. Physical Demands This role requires sitting or standing at a computer workstation for extended periods of time. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are Monday through Friday, 40 hours a week. Occasional evening and weekend work may be required as job duties demand. Travel No travel is required for this position. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Equal Opportunity Statement Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, ancestry, citizenship status, religion, marital status, disability, military service or veteran status, genetic information, medical condition including medical characteristics, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment. Reasonable Accommodation Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Role : Actuary Analyst Experience Required - 6+ Years Must Have Technical/Functional Skills • Must have ACAS/FCAS designation or relevant designation in other Actuarial societies • Must have P&C Insurance experience • State Filing Experience with DOI for personal lines of Insurance is preferred • Bachelor's degree; and 5 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. • Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making. • Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, SQL or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. • Experience communicating complex solutions and analysis to both technical and nontechnical audiences. Roles & Responsibilities • Understand, analyze and review the assigned state and responsible for completing state filing process including but not limited to developing rates, trend analysis, revise rates, prepare documentation to DOI, get the sign off from Lead Actuary and coordinate and respond for any DOI objections. • Independently apply complex technical and actuarial methodologies, as well as proficient actuarial knowledge, to complete unstructured projects •Select and ensure quality of data used to perform trend analysis supports rate level indications; translates business problem into technical requirements; runs required models and interprets and communicates results to support business activities while executing and enhancing a strong control environment with guidance from an Director of respective Line of Business. •Utilize actuarial, mathematical, or statistical techniques to augment actuarial work product. •Apply understanding of products supported, stakeholders' needs, and industry trends to solve unstructured business problems. •Identify compliance gaps and process improvements and recommends develops solutions. •Lead unit initiatives and participates in cross-functional efforts as a technical subject matter expert. •Effectively communicate insights and solutions to all audiences, including executive leadership. •Synthesize complex and conflicting information into a clear and influential value proposition. •Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. Interested candidates please do share me your updated resume to ******************* Salary Range - $100,000 to $180,000 per 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.

Description AmeriSave Mortgage Corporation is a leading fintech mortgage lender committed to transforming the home financing experience through data-driven innovation. We are building a world-class analytics organization to power smarter decisions across marketing, operations, and pricing. Role OverviewWe are seeking a highly skilled and strategic Principal Data Scientist to lead high-impact, hands-on initiatives across marketing analytics, workforce planning, lead routing, and pricing sensitivity. This is an individual contributor role ideal for someone who thrives on solving complex problems and delivering measurable business outcomes through advanced analytics, optimization, and modeling.Responsibilities:Marketing Analytics Build and deploy predictive models for lead conversion, customer lifetime value, and marketing ROI. Design and analyze experiments to evaluate campaign performance and optimize spend. Develop attribution frameworks and incrementality testing to guide marketing strategy. Workforce Planning & Optimization Design intelligent scheduling systems that align staffing with demand across mortgage and call center operations. Apply constraint-based optimization, linear/mixed-integer programming, and fatigue modeling to maximize productivity and SLA adherence. Integrate with workforce management systems to automate and enhance planning processes. Lead Routing & Pricing Sensitivity Develop machine learning models to optimize lead routing based on agent performance, availability, and customer profiles. Analyze pricing elasticity and customer sensitivity to rate changes across segments and channels. - Simulate pricing scenarios and recommend adjustments in collaboration with pricing and finance teams. Cross-Functional Collaboration Partner with stakeholders across Marketing, Sales, Operations, and Finance to translate business needs into analytical solutions. Present findings and recommendations to senior leadership in a clear, actionable manner. Qualifications: Master's or PhD in Data Science, Statistics, Operations Research, Computer Science, or a related field. 6+ years of experience in applied data science roles, preferably in high-volume, customer-facing environments. Strong proficiency in R, Python, SQL, and Power-BI Experience working with workforce management systems and call center focused organizations Demonstrated success in marketing analytics, workforce optimization, and pricing strategy. Experience working with credit bureau data **Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. It is estimated based on what a successful Colorado applicant might be paid. It assumes that the successful candidate will be in Colorado or perform the position from Colorado. Similar positions located outside of Colorado will not necessarily receive the same compensation. ** Compensation The annual compensation for this position generally ranges between $130,000 - $200,000. Benefits · 401(k) · Dental insurance · Disability insurance · Employee discounts · Health insurance · Life insurance · Paid time off · 12 paid holidays per year · Paid training · Referral program · Vision insurance Supplemental pay types: · Referral bonuses AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. California Consumer Privacy Act Disclosure Acknowledgment Employment Applicants, New Hires, and Employees Residing in California AmeriSave Mortgage Corporation's Privacy Policy Statement (“Policy”) can be reviewed here: ******************************** AmeriSave Mortgage Corporation's California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: ****************************************************** When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.

Ameriprise Financial, Inc. seeks a Director - Data Scientist, in Minneapolis, MN. Key Responsibilities To identify, develop, and implement analytical solutions, while leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, and optimization solutions. Identify/interpret business needs, define high-level business requirements, strategy, technical risks, and scope, and engage with business leaders and analysts to provide analytical thought leadership for business problems. Remote work permitted 2 days per week. #LI_DNI Required Qualifications Master's degree in business analytics, statistics, or a related field, plus 3 years of experience in the following: advanced statistical concepts and techniques with skills in linear algebra; conducting hands-on analytics projects using advanced statistical methods, including generalized regression models, Bayesian methods, Random Forest, gradient boosting, neural networks, machine learning, and clustering; statistical programming (SAS, Python, SQL) and data visualization software in a data-rich environment. Salary Range: $165,800 - $194,600. To apply, please visit joinameriprise.com. Job Req #R25_0000003908. General information on company benefits, and other compensation, including health and retirement, can be found at ******************************************************* About Our Company We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $165,800 - $194,600 a year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business MARKT Marketing

About the Hiring TeamLevel Infinite is Tencent's global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.What the Role Entails Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China. Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world. Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players. Level Infinite is Tencent's global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. About Us Tencent Games Global Data Insight is a world-class data science team empowering game development, publishing, and operations across our global portfolio. Our mission is to solve complex challenges in the gaming industry through advanced data science, experimentation, and machine learning - transforming insights into actions that shape the future of play for billions of gamers. What You'll Do As a Data Scientist at Tencent Games: Leverage large-scale data to uncover insights, guide decision-making, and drive measurable business impact across R&D, marketing, and live-ops stages. Build computational workflows using Python, SQL, and big-data ecosystems to process and analyze complex datasets. Design and deploy scalable, automated frameworks for A/B testing, statistical modeling, and machine learning. Partner with product, engineering, and business stakeholders to design end-to-end data solutions that optimize player experience, monetization, and operational efficiency. Contribute to a culture of experimentation and scientific rigor through analytics innovation, reproducibility, and continuous learning. Who We Look For What We're Looking For: Ph.D in Computer Science, Statistics, Mathematics, or a related quantitative discipline. Deep understanding of mathematical modeling, statistical inference, and machine learning techniques applied to real-world data. Strong proficiency in Python and SQL; experience with data visualization tools (e.g., Tableau, Power BI, Looker) is a plus. Proven ability to translate complex data into actionable business insights and communicate findings effectively to non-technical audiences. Passion for gaming and enthusiasm for using data to improve player engagement and business outcomes. Why Tencent Games Global Scale & Impact: Access data from our players worldwide and make decisions that shape the global gaming landscape. Innovation & Growth: Collaborate with world-class experts across data science, game design, and AI research. Culture & Collaboration: Thrive in a friendly, cross-cultural environment that values curiosity, ownership, and creativity. Global Opportunities: Work with teams across Shenzhen, Shanghai, and Palo Alto - where data meets global gaming innovation. Location State(s) US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $118,100.00 to $274,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Must Have Technical/Functional Skills We are seeking a skilled Technical Data Steward to support enterprise data governance and metadata management initiatives within the Alation Data Platform. The successful candidate will ensure the accuracy, completeness, and traceability of metadata and data lineage across diverse data environments. This role bridges technical and business domains, working closely with data owners, analysts, and business data stewards to promote transparency accountability and consistent data usage across the organization * 3+ years of experience in data stewardship, metadata management, or data governance. * Hands-on experience with Alation or similar metadata management tools. * Strong SQL skills (MSSQL, Oracle, or similar platforms). * Experience with data lineage tracing, ETL processes, and enterprise data integration concepts. * Excellent communication, documentation, and interpersonal skills; ability to translate technical data issues into clear business language. * Solid understanding of relational database structures, schemas, and data models. Roles & Responsibilities Metadata Management: o Manage data lineage documentation from ingestion through transformation and consumption. o Improve training documentation to assist Alation users with creating/maintaining lineage Data Lineage & ETL Tracking: o Trace data flows across multiple systems, including databases, ETL tools (e.g., Informatica, Talend, scripting tools like SAS), data warehouses, and analytics platforms. o Collaborate with business data stewards to map Critical Data Elements (CDEs) - from the column level-to their authoritative sources. o Document technical relationships between data sources, transformations, and outputs. Analytics & Reporting: o Write and optimize SQL queries to support Alation Analytics dashboards and reports, lineage validation, and data usage metrics. o Provide insights on data lineage completeness, quality, and catalog adoption trends. Collaboration & Relationship Management: o Partner with business data stewards and data owners to document source-to-target mappings, ensure lineage accuracy and align metadata standards. o Build and maintain strong cross-functional relationships to encourage data sharing and consistent stewardship practices. o Communicate technical concepts clearly to non-technical stakeholders through written documentation and visual models. Technical Stewardship: o Understand how data traverses through various database technologies (e.g., SQL Server, Oracle, Hive, DB2, etc.). < div>o Support documentation of data storage locations, data movement, and transformation logic. o Participate in governance forums to enforce data quality, metadata standards, and stewardship best practices. Preferred Qualifications * Familiarity with Informatica PowerCenter, Talend, Tableau, Power BI, Hive, or DB2. * Experience developing or supporting metadata-driven analytics or data governance dashboards. * Prior experience collaborating within a federated data stewardship model across technical and business teams. Salary Range: $125,000 to $135,000 per year

Artificial Intelligence(GenAI)/ML + Data science Must Have Technical/Functional Skills Primary: Artificial intelligence/ML Secondary: Data science, Python, NLP, Agile tools Experience: 7 to 10+ Roles & Responsibilities ⦁ Experience with NLP, deep learning, or time series analysis. ⦁ Experience deploying models to production environments. ⦁ Knowledge of regulatory requirements and compliance in banking and finance. ⦁ Familiarity with MLOps practices and tools. ⦁ Experience with Agile methodology and tools (JIRA or Rally) ⦁ Proven experience as a Data Scientist in Banking or a similar domain ⦁ Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). ⦁ Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering. ⦁ Strong knowledge of statistics, machine learning, and data mining techniques. ⦁ Experience with data visualization tools (e.g., Tableau, Power BI). ⦁ Experience with Big Data Platforms (Hadoop). ⦁ Familiarity with SQL and working with relational databases. ⦁ Excellent problem-solving, communication, and collaboration skills. ⦁ Experience with cloud platforms (AWS, Azure, or GCP) is a plus. ⦁ Analyze large financial datasets to extract insights and support business decisions. ⦁ Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). ⦁ Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. ⦁ Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. ⦁ Communicate findings and recommendations through reports, dashboards, and presentations. ⦁ Work with data engineers to ensure data quality and pipeline reliability. Salary Range- $95,000-$120,000 a year

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a qualified Life Actuary to join our diverse team. The ideal candidate will possess strong risk management skills, with a particular focus on Interest Rate Risk Management and broader financial risk experience. This role requires an individual who has acquired their ASA designation or FSA designation and has a few years of meaningful experience. Key responsibilities will include experience in Asset-Liability Management (ALM), encompassing liquidity management, asset allocation, cashflow matching, and duration targeting. You will also be responsible for conducting asset adequacy testing to ensure the sufficiency of assets to meet future obligations. Experience in product pricing, especially for annuity products. Furthermore, an understanding of Risk-Based Capital (RBC) frameworks and methodologies is required. Proficiency with actuarial software platforms, with a strong preference for AXIS, is highly advantageous. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Performs complex work assignments using actuarial modeling software driven models for pricing, valuation, and/or risk management. Reviews laws and regulations to ensure all processes are compliant; and provides recommendations for improvements and monitors industry communications regarding potential changes to existing laws and regulations. Runs models, generates reports, and presents recommendations and detailed analysis of all model runs to Actuarial Leadership. May make recommendations for model adjustments and improvements, when appropriate. Shares knowledge with team members and serves as a resource to team on raised issues and navigates obstacles to deliver work product. Leads or participates as a key resource on moderately complex projects through concept, planning, execution, and implementation phases with minimal guidance, involving cross functional actuarial areas. Develops exhibits and reports that help explain proposals/findings and provides information in an understandable and usable format for partners. Identifies and provides recommended solutions to business problems independently, often presenting recommendation to leadership. Maintains accurate price level, price structure, data availability and other requirements to achieve profitability and competitive goals. Identifies critical assumptions to monitor and suggest timely remedies to correct or prevent unfavorable trends. Tests impact of assumptions by identifying sources of gain and loss, the appropriate premiums, interest margins, reserves, and cash values for profitability and viability of new and existing products. Advises management on issues and serves as a primary resource for their individual team members on raised issues. Ensures risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 4 years relevant actuarial or analytical experience and attainment of Fellow within the Society of Actuaries; OR 8 years relevant actuarial experience and attainment of Associate within the Society of Actuaries. Experience performing complex work assignments using actuarial modeling software driven models for pricing, valuation, and/or risk management. Experience presenting complex actuarial analysis and recommendations to technical and non-technical audiences. What sets you apart: Asset-Liability Management (ALM): Experience in ALM, including expertise in liquidity management, asset allocation, cashflow matching, and duration targeting. Asset Adequacy Testing: Experience conducting asset adequacy testing to ensure the sufficiency of assets to meet future obligations. Product Pricing: Experience in pricing financial products, with a particular emphasis on annuity products. Risk-Based Capital (RBC): Experience with risk-based capital frameworks and methodologies. Actuarial Software Proficiency: Familiarity with actuarial software platforms. Experience with AXIS is considered a significant advantage. Actuarial Designations: Attainment of Society of Actuaries Associateship (ASA) or Fellowship (FSA). Compensation range: The salary range for this position is: $127,310 - $243,340. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

* Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. * Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. * Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. * Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. * Deploy models using Azure, ensuring scalability and governance with MLOps best practices. * Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. * Collaborate with engineering teams for productionization and monitoring of models. * Drive continuous improvement through metrics-driven insights and iterative refinements Salary Range: $110,000 $140,000 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 & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

We are looking for a Data Scientist! This position will play a key role in shaping data-driven strategies that directly influence the bank's profitability, customer value, and market competitiveness. This role sits at the intersection of analytics, finance, and product strategy - transforming data into pricing intelligence that supports smarter, faster business decisions. Will design and implement advanced pricing and profitability models for retail banking products, leveraging internal performance metrics, market benchmarks, and third-party data sources. Through predictive modeling, elasticity analysis, and scenario testing, will help the organization optimize deposit and loan pricing, forecast financial outcomes, and identify growth opportunities. Collaborating across product, finance, and executive teams, will translate complex analytical findings into clear business recommendations that drive strategic action. Will also contribute to enhancing our analytics infrastructure - improving data pipelines, model governance, and reporting capabilities to strengthen enterprise-wide decision-making. Core Expertise: Pricing strategy · Profitability modeling · Financial forecasting · Machine learning · SQL · Python · R · Data visualization · Strategic analytics · Cross-functional collaboration CapFed is an equal opportunity employer.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a qualified Life Actuary to join our diverse team. The ideal candidate will possess strong risk management skills, with a particular focus on Interest Rate Risk Management and broader financial risk experience. This role requires an individual who has acquired their ASA designation or FSA designation and has a few years of meaningful experience. Key responsibilities will include experience in Asset-Liability Management (ALM), encompassing liquidity management, asset allocation, cashflow matching, and duration targeting. You will also be responsible for conducting asset adequacy testing to ensure the sufficiency of assets to meet future obligations. Experience in product pricing, especially for annuity products. Furthermore, an understanding of Risk-Based Capital (RBC) frameworks and methodologies is required. Proficiency with actuarial software platforms, with a strong preference for AXIS, is highly advantageous. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Performs complex work assignments using actuarial modeling software driven models for pricing, valuation, and/or risk management. Reviews laws and regulations to ensure all processes are compliant; and provides recommendations for improvements and monitors industry communications regarding potential changes to existing laws and regulations. Runs models, generates reports, and presents recommendations and detailed analysis of all model runs to Actuarial Leadership. May make recommendations for model adjustments and improvements, when appropriate. Shares knowledge with team members and serves as a resource to team on raised issues and navigates obstacles to deliver work product. Leads or participates as a key resource on moderately complex projects through concept, planning, execution, and implementation phases with minimal guidance, involving cross functional actuarial areas. Develops exhibits and reports that help explain proposals/findings and provides information in an understandable and usable format for partners. Identifies and provides recommended solutions to business problems independently, often presenting recommendation to leadership. Maintains accurate price level, price structure, data availability and other requirements to achieve profitability and competitive goals. Identifies critical assumptions to monitor and suggest timely remedies to correct or prevent unfavorable trends. Tests impact of assumptions by identifying sources of gain and loss, the appropriate premiums, interest margins, reserves, and cash values for profitability and viability of new and existing products. Advises management on issues and serves as a primary resource for their individual team members on raised issues. Ensures risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 4 years relevant actuarial or analytical experience and attainment of Fellow within the Society of Actuaries; OR 8 years relevant actuarial experience and attainment of Associate within the Society of Actuaries. Experience performing complex work assignments using actuarial modeling software driven models for pricing, valuation, and/or risk management. Experience presenting complex actuarial analysis and recommendations to technical and non-technical audiences. What sets you apart: Asset-Liability Management (ALM): Experience in ALM, including expertise in liquidity management, asset allocation, cashflow matching, and duration targeting. Asset Adequacy Testing: Experience conducting asset adequacy testing to ensure the sufficiency of assets to meet future obligations. Product Pricing: Experience in pricing financial products, with a particular emphasis on annuity products. Risk-Based Capital (RBC): Experience with risk-based capital frameworks and methodologies. Actuarial Software Proficiency: Familiarity with actuarial software platforms. Experience with AXIS is considered a significant advantage. Actuarial Designations: Attainment of Society of Actuaries Associateship (ASA) or Fellowship (FSA). Compensation range: The salary range for this position is: $127,310 - $243,340. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We are looking for a Data Scientist! This position will play a key role in shaping data-driven strategies that directly influence the bank's profitability, customer value, and market competitiveness. This role sits at the intersection of analytics, finance, and product strategy - transforming data into pricing intelligence that supports smarter, faster business decisions. Will design and implement advanced pricing and profitability models for retail banking products, leveraging internal performance metrics, market benchmarks, and third-party data sources. Through predictive modeling, elasticity analysis, and scenario testing, will help the organization optimize deposit and loan pricing, forecast financial outcomes, and identify growth opportunities. Collaborating across product, finance, and executive teams, will translate complex analytical findings into clear business recommendations that drive strategic action. Will also contribute to enhancing our analytics infrastructure - improving data pipelines, model governance, and reporting capabilities to strengthen enterprise-wide decision-making. Core Expertise: Pricing strategy · Profitability modeling · Financial forecasting · Machine learning · SQL · Python · R · Data visualization · Strategic analytics · Cross-functional collaboration CapFed is an equal opportunity employer.