Data scientist jobs in College Station, TX

Title: Lead Data Scientist Duration: 12 month contract + extensions Required Skills & Experience 7+ years of experience as a Data Scientist Strong coding skills in Python (pandas, numpy, scikit-learn) and SQL. Experience with regression, elasticity estimation, clustering, and experimental validation. Comfort working with optimization outputs and constraints. Ability to wrangle data from cloud-based sources and iterate quickly with stakeholders. Job Description A retail client is hiring a Lead Data Scientist to join their Profit to Serve (PTS) initiative-a priority program driving scenario modeling and last-mile routing optimization to improve profitability and service. PTS is a foundational enabler in our AI strategy, connecting precision costing with automated insights and routing simulations. You'll work on-site in Plano, TX, partnering directly with transformation leaders to shape a high-impact initiative at the intersection of AI, data science, and operational excellence. If you love fast iteration, hands-on coding, and solving real-world business problems, this is your opportunity to make an impact at scale. What You'll Do • Build and iterate models for cost impact estimation, price elasticity, and routing optimization. • Design clustering approaches for route/service segmentation and validate optimization assumptions. • Translate ambiguous business questions into testable models and ship prototypes weekly. • Collaborate closely with business partners and data science leads to deliver reusable solutions.

Location: Dallas, TX, Type: Full-Time | On-Site Our client, a leader in land surveying, planning and civil engineering, is looking for an Azure Data Platform Architect to help integrate a wide range of business applications and data sources into a scalable, cloud-focused data platform. This role goes beyond traditional integration work and emphasizes engineering, consolidating, and modernizing both structured and unstructured data using Microsoft Azure. Candidates should bring enthusiasm for application engineering and platform design, with hands-on experience in Microsoft integrations, document management, or data engineering preferred. In this position, you will play an active, hands-on role in designing, building, and integrating Azure data services across enterprise systems. You will collaborate with engineers, architects, and business stakeholders to create a unified platform that improves data access, analytics, and automation. Responsibilities Design, build, and implement Azure-based data architectures Develop and manage workflows using Azure Data Factory, Logic Apps, OneDrive, and SharePoint Integrate and modernize enterprise applications using Azure services and automation tools Support data migration, application consolidation, and process automation across business units Enhance document management systems with improved metadata, access controls, and versioning practices Collaborate with cross-functional teams to align data strategy and architecture Support data governance efforts, including security, compliance, and retention standards within Azure environments Requirements Bachelor's degree in Information Systems, Computer Science, Engineering, or equivalent experience More than 3 years of experience with Azure cloud data platforms, data engineering, or integration projects Knowledge of Azure Data Factory, Logic Apps, Synapse Analytics, and related Azure tools Experience with ETL design, data pipelines, and application integration Familiarity with Autodesk, Bluebeam, ProjectWise, Ajera, or similar design/engineering platforms is a plus Understanding of data governance, metadata management, and Azure security Strong problem-solving skills, communication abilities, and attention to detail Bonus: Experience with Azure AI Services, Azure OpenAI, or intelligent automation This is a great opportunity to help build and scale a modern Azure data platform supporting enterprise analytics and automation. In this role you will work closely with engineers and business leaders driving digital transformation. You will be building scalable Azure data solutions. Role is in the office (on-site) 5 days per week. Do not apply unless you are authorized to work in the United States for any employer as client company cannot sponsor or transfer visas at this time. Walker Elliott is an Equal Opportunity Employer. For additional information, please email your resume to ************************** or apply online.

SeAH Superalloy Technologies is building a world-class manufacturing facility in Temple, Texas, producing aerospace-grade nickel-based superalloys for investment casting and additive manufacturing. As part of SeAH Group's $150M U.S. greenfield investment, we're shaping the future of advanced manufacturing and establishing strong partnerships with industry leaders, suppliers, and communities. Position Summary We are seeking a highly skilled and proactive Data Engineer to lead and support the development and optimization of our analytics infrastructure. This role will focus on building scalable, secure, and maintainable data pipelines across enterprise systems like ERP, MES, SCADA, and WMS. The ideal candidate has a strong technical foundation in data engineering, exceptional problem-solving skills, and experience in both on-prem and cloud environments. This role will also involve the development of dashboards, visualization tools, and predictive analytics for use across operations, engineering, and executive leadership. Key Responsibilities Data Engineering & Pipeline Development: Design, build, and maintain robust, fault-tolerant data pipelines and ingestion workflows. Lead integration of key enterprise systems (ERP, MES, CMMS, SCADA, WMS). Optimize pipelines for performance, scalability, and long-term maintainability. Clean, transform, and augment raw industrial data to ensure accuracy and analytical value. System Integration & API Management: Develop and maintain RESTful API connectivity for cross-platform communication. Work with structured and semi-structured data formats (SQL, CSV, PLC logs, etc.). Translate complex business requirements into scalable data architecture. Visualization & Reporting: Create and maintain dashboards and reports using Power BI or similar tools. Automate report generation for predictive analytics, anomaly detection, and performance insights. Collaborate with stakeholders to customize visual outputs and provide decision-ready insights. Data Collection, Governance & Security: Implement ETL processes and ensure proper data governance protocols. Conduct quality checks, monitor ingestion workflows, and enforce secure data handling practices. Perform backups and manage version control for code and reports. Collaboration & Agile Operations: Participate in agile team meetings, code reviews, and sprint planning. Support internal teams with technical troubleshooting and training. Gather requirements directly from stakeholders to refine data strategies. Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. 5+ years of professional experience in data engineering, analytics, or a related technical role. Strong experience with REST APIs, microservices, and data pipeline orchestration. Proficient in SQL and scripting languages (Python, Bash, PowerShell). Experience with data warehousing, ETL design, and industrial datasets. Familiarity with on-prem and cloud environments. Excellent analytical, communication, and problem-solving skills. Preferred/Bonus Skills Experience integrating data from PLCs or industrial protocols. Familiarity with Power BI, MES, or CMMS tools. Experience applying cybersecurity standards to data infrastructure. Knowledge of manufacturing environments, especially in metals or high-spec industries.

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

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you'll **design resilient ETL/ELT pipelines and data contracts** to ensure datasets are analytics- and ML-ready. You'll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale. * * * ### **You're a great fit if you:** - Have a background in **computer science, data engineering, or information systems**. - Are proficient in **Python, pandas, and SQL**. - Have hands-on experience with **databases** like PostgreSQL or SQLite. - Understand distributed data processing with **Spark or DuckDB**. - Are experienced in orchestrating workflows with **Airflow** or similar tools. - Work comfortably with common formats like **JSON, CSV, and Parquet**. - Care about **schema design, data contracts, and version control** with Git. - Are passionate about building pipelines that enable **reliable analytics and ML workflows**. * * * ### **Primary Goal of This Role** To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems. * * * ### **What You'll Do** - Build and maintain **ETL/ELT pipelines** with a focus on scalability and resilience. - Validate and enrich datasets to ensure they're **analytics- and ML-ready**. - Manage **schemas, versioning, and data contracts** to maintain consistency. - Work with **PostgreSQL/SQLite, Spark/Duck DB, and Airflow** to manage workflows. - Optimize pipelines for performance and reliability using **Python and pandas**. - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs. * * * ### **Why This Role Is Exciting** - You'll create the **data backbone** that powers cutting-edge AI research and applications. - You'll work with modern **data infrastructure and orchestration tools**. - You'll ensure **reproducibility and reliability** in high-stakes data workflows. - You'll operate at the **intersection of data engineering, AI, and scalable systems**. * * * ### **Pay & Work Structure** - You'll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20-30 hrs/week) with flexible hours-work from anywhere, on your schedule. - Weekly Bonus of **$500-$1000 USD** per 5 tasks. - Remote and flexible working style.

We are seeking a motivated and detail-oriented Entry-Level Data Analyst to join our analytics team. The ideal candidate should be eager to work with data, perform analysis, and generate actionable insights to support business decision-making. This role is perfect for recent graduates or individuals with internship/academic project experience in data analysis or business analytics. Responsibilities: Collect, clean, and organize large data sets from multiple sources (Excel, SQL, APIs). Perform data analysis using Python, R, or SQL to identify patterns and trends. Build reports and dashboards using Power BI or Tableau to visualize KPIs. Support senior analysts and business stakeholders in data-driven decision-making. Document data processes and maintain data accuracy across all reporting systems. Collaborate with cross-functional teams to support analytical needs of ongoing projects. Required Skills & Qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or related field. Hands-on experience (academic/internship) with Excel, SQL, Python/R, Power BI/Tableau. Strong analytical thinking, problem-solving, and communication skills. Knowledge of basic statistics and data visualization principles. Ability to work independently in a fast-paced, data-driven environment. Preferred Skills (Good to Have): Experience with ETL tools or data pipeline automation. Familiarity with cloud platforms (AWS, Azure, GCP). Exposure to predictive analytics or machine learning concepts. Benefits: Remote flexibility with team collaboration tools. Training & mentorship under senior data professionals. Opportunities for long-term project extensions or full-time conversion. Competitive pay and performance-based growth.

Actuary Analyst Contract: 6 Month Domain: Actuary - P&C (Property & Casualty) About the Role W are seeking a highly skilled Actuary Analyst to support state filing processes, rate analysis, and actuarial modeling within the P&C domain. This role requires strong analytical capability, actuarial expertise, and the ability to work independently on complex, unstructured projects. Key Responsibilities Analyze assigned state data and manage the end-to-end state filing process, including developing/revising rates, performing trend analysis, and preparing documentation for the Department of Insurance (DOI). Work closely with the Lead Actuary to obtain sign-offs and coordinate responses to any DOI objections. Independently apply technical and actuarial methodologies to complete advanced actuarial projects with minimal guidance. Select, validate, and analyze data required for trend analysis to support accurate rate level indications. Translate business needs into technical requirements and run actuarial/statistical models. Interpret, summarize, and communicate results clearly to support business decisions while maintaining a strong control environment. Utilize actuarial, mathematical, or statistical techniques to enhance actuarial work product. Apply understanding of insurance products, market trends, and stakeholder needs to solve unstructured business problems. Ensure all business activities comply with risk, regulatory, and compliance standards. Qualifications Experience in Actuarial Science, P&C Insurance, Statistical Modeling, or Rate Filing. Strong analytical and problem-solving skills. Ability to work independently on advanced projects. Excellent communication and documentation skills. Prior experience handling DOI filings, trend analysis, or rate development preferred.

Job Title: Operations Data Analyst Duration: 14 Months to start (Possible extension) Our clients Site Operations team is seeking an Operations Data Analyst to help drive operational excellence by analyzing capacity, uptime, and performance across our data centers. This role is critical for enabling leadership to make informed decisions, optimize strategies, and ensure our infrastructure is running at peak efficiency. You'll work closely with operations, engineering, and data science partners to deliver actionable insights, maintain reporting code, and develop dashboards that support our core KPIs. Responsibilities Analyze operational data to assess capacity availability, uptime and operational efficiency. Generate and maintain weekly reports tracking team performance against core KPIs Clean, transform, and analyze data, often using proxy and regression analysis to address incomplete datasets Maintain and test code that produces reports and manages underlying data structures; integrate new data sources as needed Develop and enhance dashboards in collaboration with field teams and data scientists. Conduct predictive analytics to anticipate operational trends and risks on ad hoc basis Produce reports and whitepapers with actionable recommendations for leadership. Provide data supplied narratives that are connected to the business, determining what is important and its impact to the business/operation. Must-Have Skills 3+ years in data analysis, operations analytics, or a related field Proficiency in SQL for data extraction and analysis Proven experience in data analysis, including cleaning, transforming, and interpreting complex datasets Significant experience with data visualization tools and leveraging data driven models to drive business decisions. Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions and reporting results across various stakeholder groups (including executive level). Intellectual curiosity and initiative in identifying hypotheses and driving continuous improvement Collaborative, team-oriented mindset Nice-to-Have Skills Experience in operations, data center, manufacturing, telecom, or NOC environments. Familiarity with dashboard development tools (e.g., Bento, Tableau). Degrees/Certifications Bachelor's degree in an analytical field (e.g., Computer Science, Research, Statistics, Engineering)

⦁ 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

Data Scientist The application window is expected to close on: 12/05/2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Members of the Operations Organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions. Meet the Team Join our dynamic team in the newly formed Cisco Automation and AI at the forefront of AI innovation! We're a passionate group of engineers, data scientists, and product experts dedicated to building the future of commerce. We are building an AI Assistant to revolutionize how users interact with our platform. We value collaboration, continuous learning, and the opportunity to make a real-world impact. Position Summary: We are looking for a full-stack Data Scientist who will play a crucial role in designing, developing, and implementing an AI Assistant within our Commerce Platforms. The ideal candidate will have expertise across the entire data science lifecycle, including data engineering, data curation, modeling, and analysis. Additionally, they must possess strong business understanding and excellent communication skills to bridge the gap between technical development and business needs. Your Impact As a Full-Stack Data Scientist, you will be at the heart of creating an intelligent and intuitive AI Assistant. You'll be tackling the challenge of integrating advanced AI capabilities into our commerce platform, allowing you to push the boundaries of what's possible with LLMs and RAG systems. This is an exciting opportunity to shape the future of our commerce platform and see your innovations directly impact thousands of users. Key Responsibilities: Modeling and Analysis: * Assist in the design, development, and optimization of generative AI models. * Perform exploratory data analysis to uncover insights and inform model development. * Continuously monitor and refine models to improve their performance and accuracy. Business Understanding and Communication: * Work closely with business stakeholders to understand their needs and translate them into technical requirements. * Communicate complex technical concepts to non-technical team members and stakeholders. * Provide insights and recommendations based on data analysis to drive business decisions. Feedback Loops and Continuous Improvement: * Establish and manage feedback loops to gather user input and improve the AI Assistant. * Analyze feedback data to identify areas for improvement and implement necessary changes. * Develop strategies to enhance model performance based on user feedback and operational metrics. Trust and Security: * Ensure the integrity and security of data used and generated by the AI Assistant. * Implement measures to maintain user trust and comply with relevant regulations and standards. * Develop protocols to handle sensitive data and ensure its protection. Collaboration and Integration: * Collaborate with cross-functional teams, including software engineers, product managers, and domain experts, to ensure seamless integration of the AI Assistant. * Participate in code reviews and contribute to the overall improvement of the development process. * Ensure that the AI Assistant aligns with business goals and delivers a high-quality user experience Minimum Qualifications: * Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. * Strong programming skills in languages such as Python, R, or Java. * Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, Haystack, or DSPy. * Familiarity with RAG evaluation frameworks and techniques (e.g., Ragas, DeepEval, TruLens). Preferred Qualifications: * Experience with human-in-the-loop (HITL) processes for feedback collection and annotation. * Proven experience as a Data Scientist, with a focus on generative AI and machine learning. * Strong proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow). * Solid understanding of automated evaluation metrics and strategies for LLMs * Strong problem-solving skills and the ability to debug complex AI system behaviors. * Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, and analysis. * Excellent business understanding and the ability to communicate effectively with both technical and non-technical stakeholders. * Experience in building and deploying AI-driven applications, particularly AI Assistants, is a plus. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $134,600.00 to $177,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $155,900.00 - $246,200.00 Non-Metro New York state & Washington state: $149,600.00 - $218,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

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.

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.

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.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you'll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable's self-serve business. You'll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. What you'll do Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics Who you are Bachelor's degree in computer science, data science, mathematics/statistics, or related field 6+ years of experience as a data scientist, data analyst, or data engineer Experience supporting product development teams and driving product growth insight Background in SaaS, consumer tech, or data-driven product environments preferred Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode) Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels) Proven ability to apply AI/ML tools - from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot) Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights Provides thought leadership on user funnels, retention, and growth analytics Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows Experience at an AI-native company, with exposure to building or scaling products powered by AI Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness Models curiosity, creativity, and a learner's mindset; thrives in ambiguity and inspires others to do the same Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$205,200-$266,300 USDFor all other work locations (including remote), the base salary range for this role is:$185,300-$240,000 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Data Scientist responsibilities are: Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams Data Scientist requirements are: 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred Must be a U.S. Citizen

Matrix has been named a Zweig Group 2025 Best Firm to Work For! Matrix Design Group, Inc is actively hiring for an in-office Data Scientist position in our San Antonio, Denver, Colorado Springs or Phoenix offices. As an employee-owned company we are committed to fostering, cultivating, and preserving a culture of diversity, respect, and excellence. We have a friendly, collegial, collaborative atmosphere and offer a full range of benefits including medical, dental, vision, disability, and life insurance; holiday, vacation, and sick leave; training and education; 401(k) and an Employee Stock Ownership Plan (ESOP). We strive to employ highly motivated people capable of creatively applied problem-solving skills who desire to advance personally and professionally. Salary Range: $90,000.00 to $110,000.00 Annually. Salary will be dependent upon experience. Location: San Antonio, Denver, Colorado Springs or Phoenix. (Must be willing to work a hybrid schedule) SUMMARY: Matrix seeks a driven individual to provide Data Science and Business Intelligence support to the firm as part of our Advanced Solutions Division. Support to Advanced Solutions is often related directly or indirectly to the Department of Defense and will include data collection and analysis, leveraging various programming languages to meet client needs, researching and writing unique reports. It may also include data management, exposure to cloud platforms, the use of APIs, and other tasks as assigned. ESSENTIAL FUNCTIONS: Support continuous process improvement and business process reengineering projects through focused application of sound data science, data analysis, and mathematical principles, to include process mapping, data collection, analysis, & visualization Support project execution to include the development of technical documents and presentations and contributing to other project deliverables Support project execution with statistical and other technical skills, to include but not limited to: statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems; digital dashboard construction, linear regression, parameter estimates, connection of data silos, and process automation Support proposal development by providing technical content and coordinating with others to incorporate the input and feedback of both clients and team members Meet with clients and their representatives as an individual or part of a team to present results, explain complex technical and/or statistical concepts, resolve issues, answer questions, and maintain positive, constructive relations Research areas or issues as assigned and write formal and informal reports of varying lengths focused on summarizing information or persuading readers to support objectives COMPETENCIES Proficiency and demonstrated ability to work independently in statistical analysis, simulation, modeling, machine learning, artificial intelligence, or other methods to analyze information and develop practical solutions to business problems Proficiency in programming tools and languages, to include SQL, Python, R, and APIs Proficiency in data visualization tools (e.g., Power BI, Tableau, R Shiny, and others) Well-versed in use of the Microsoft Office suite of products, to include Power Platform and SharePoint Familiarity with the Department of Defense (DoD) and the Department of the Air Force (DAF) Ability to harness the above in the scraping of PDFs or web for relevant information Strategic thinker with exceptional communication skills (written and oral) and presentation skills, including the ability to synthesize and distill complex topics into concise reports/presentations Possess the ability to explain complex technical information in a manner comprehensible to non-technical audiences Ability and willingness to travel to project sites and other facility offices EDUCATION AND EXPERIENCE: Graduate degree in data science, statistics, operations research, engineering, or related field of study 4 or more years of relevant experience in data science, data management, and/or data analysis, to include internship(s) Valid driver's license, in conjunction with successfully passing the Company's MVR screening 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. Physical Demands: While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to stand; walk and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds. The noise level in the work environment is usually moderate. Matrix Design Group, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, gender, color, religion, sex, national origin, or protected veteran status, and will not be discriminated against based on disability. Any applicant with a qualifying physical or mental disability who believes they require reasonable accommodation for any part of the application process should contact us at ************ for assistance. How to Apply: Please apply online at ****************************************

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Principal Data Scientist on our Data Science team in Hopkinton, Massachusetts or Round Rock, Texas. What you'll achieve As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Solve business and customer issues utilizing AI/ML Build prototypes and scalable AI/ML solutions that will be integrated into software products Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 10+ years of experience in a related role or equivalent skill/education; must include deep knowledge of data science principles. Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus Desirable Requirements Master's or PhD in a quantitative discipline. Ability to act as a coach to the team and strong product/technology/industry knowledge Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $192,000 - $248,000. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

WHO WE ARE Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers. Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila. If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you. AFS has received a number of prestigious industry awards, including: * 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards * 2021 Most Innovative Companies - presented by Fast Company * 2021 Best API & Best Trading Technology - presented by Global Fintech Awards ABOUT THIS ROLE We are seeking a highly motivated Data Strategy Intern to join our team. This intern will play an integral role in supporting our efforts to refine workflows, analyze data, and help teams execute efficiently. This role combines elements of strategy development, data analysis, and client implementation support-offering you hands-on experience in executing projects at scale. To be considered, you must be able to commit to a 10-week hybrid internship and work 40 hours per week during our summer program Key Responsibilities: * Data Analysis and Research: Conduct analysis and research on industry trends, prospects, clients, and competitors * Project Management: Support revenue operations projects and manage initiatives that track client revenues & cost allocations, streamline vendor process management, and identify revenue or cost-saving opportunities * Process Documentation: Work with stakeholders to collaborate across Product, Business, and Customer Service to develop internal and client-facing policies * Process Creation, Optimization, and Automation: Create efficiency-oriented processes to streamline operations * Collaboration: Work closely and cross-functionally with members of Sales, Marketing, Finance, Operations, Relationship Management and Solutions teams Education and Experience: * Currently pursuing or recently completed a degree in Business Administration, Math, Stats, Econ, Data Analytics, MIS, Information Technology, or a related field. * Senior standing, May 2027 graduate * Strong analytical skills and attention to detail, with experience in data analysis. * Familiarity with SQL. * Basic understanding of platform services and metrics creation is a plus. * Strong knowledge of Microsoft Excel, Word, and PowerPoint * Ability to think strategically and solve problems * Strong track record of independent work and leadership ability * An analytical mind, willing to continually roll up your sleeves and dig deeper into everything put in front of you * Excellent informal and formal written, verbal, and presentation communication skills * Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. * General interest in Fintech. Preferred Skills: * Experience with Claude Agentic AI * System Design * Data Base Structure Work Environment: * This internship operates in an office environment. * This internship operates on a hybrid schedule in Austin, TX or Dallas, TX Salary: * $25 per hour. #LI-DNI Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Our Rewards We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices. EEO Statement Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics. Disability Statement Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.