Machine Learning / Data Science Engineer

As a Machine Learning Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-driven solutions tailored for our diverse clientele. Your primary focus will be on the design and deployment of scalable machine learning systems within enterprise environments. At CapTech, we foster a collaborative atmosphere that encourages knowledge sharing and continuous learning among our analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to develop comprehensive end-to-end machine learning solutions, identifying novel approaches in machine learning and data science that fulfill business objectives.Translate client requirements into data-driven models and analytical frameworks.Handle and process extensive datasets across various enterprise-level data platforms such as AWS, Azure, and GCP.Design, develop, and implement advanced analytical solutions utilizing client data, including recommender systems, natural language processing, and risk scoring.Optimize and scale machine learning systems to meet client specifications effectively.Contribute to the growth of CapTech’s Machine Learning and Data Science practices through client presentations, proposal writing, participation in business development events, and mentorship of junior data scientists and engineers.

As a Lead Machine Learning Engineer at CapTech, you will be at the forefront of designing and implementing innovative, data-driven solutions tailored to our clients' needs. Your primary focus will be on developing and deploying scalable machine learning systems within enterprise settings. Enjoy a collaborative atmosphere where you can learn from and share insights with fellow analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to develop comprehensive machine learning solutions and identify novel data science strategies that address business challenges.Offer technical leadership and work closely with teams to ensure alignment of technical solutions with customer requirements.Translate client specifications into data-centric processes, models, and analytical metrics.Analyze and transform extensive datasets across various enterprise-level platforms (e.g., AWS, Azure, GCP).Design, build, and deploy sophisticated analytical solutions utilizing client data (including recommender systems, natural language processing, and risk assessment).Optimize and scale machine learning systems to meet client needs effectively.Advance CapTech’s Machine Learning and Data Science practices by delivering client presentations, crafting proposals, participating in business development events, and mentoring junior data scientists and engineers.

About the RoleAt Insomnia Cookies, our goal is to enhance the digital journey through tailored personalization, insightful predictions, and dynamic decision-making.We are seeking a Senior Machine Learning & Data Science Lead who thrives in a hands-on environment, engaging with models, data, and production systems while working in close collaboration with our product, engineering, and marketing teams. This role combines applied data science with practical machine learning engineering to design, develop, and enhance AI-driven functionalities across our digital platforms and operations.Sweet Position Perks:• Enjoy a 4-day work week (yes, we take every Friday off!)• Comprehensive benefits including medical, dental, vision, and pet insurance• 401K plan with employer contribution match• 3 weeks of paid vacation plus 2 paid personal wellness days• A relaxed, fun office culture where you can be yourself• Free cookies, branded merchandise, and more!What You’ll Do• Partner with teams to design and implement machine learning models for personalization, recommendations, targeting, and operational enhancements.• Create predictive and forecasting solutions utilizing first-party data to bolster marketing, store operations, and inventory management.• Work on integrating models into production environments, collaborating with engineers to ensure scalability, reliability, and maintainability.• Contribute to experimentation initiatives by designing and analyzing A/B tests to assess impact.• Oversee ongoing model monitoring and improvement, ensuring quality, fairness, and explainability are prioritized.• Engage with various business units to uncover new opportunities where data science and machine learning can enhance customer experiences or operational efficiencies.What You Bring• 5+ years of experience in applied machine learning, data science, or quantitative product roles.• Proficiency with recommendation systems, predictive modeling, clustering, and time series forecasting.• Hands-on experience deploying models in production using Python, AWS/GCP, and APIs.• Strong SQL skills and experience handling large datasets.• Familiarity with A/B testing and statistical analysis for experimental design.• Excellent communication skills, capable of conveying technical concepts to both technical and non-technical audiences.• Bonus: Experience in eCommerce, quick service restaurants, or real-time customer engagement systems.Why This Role Rocks• Engage in high-impact projects that directly affect customers and operations.• Be part of the foundational development of our AI and machine learning capabilities.• Collaborate across teams on initiatives that shape digital experiences.• Join a vibrant culture that embraces experimentation and innovation.

About Us:At Perpay, a certified B Corp and one of Philadelphia’s most influential growth-stage startups, our mission is to enhance the financial stability of everyday Americans. Over the past decade, we've achieved a strong product-market fit and an efficient operating model across various offerings, establishing Perpay as the top financial partner for individuals with subprime credit.With over 500,000 customers utilizing more than $1 billion in spending power, we are at a crucial turning point. As we scale our operations, launch new products, and increase our impact, we seek passionate teammates ready to embark on this journey with us.We are proud to partner with industry leaders such as First Round Capital and L Catterton.Our impactful products include:Perpay Marketplace: A platform that merges interest-free payments with modern e-commerce, making ownership more affordable while promoting healthy repayment behaviors.Perpay+: A tool that uses Marketplace repayment history to help members track and improve their credit scores with all three major credit bureaus.Perpay Credit Card: A credit card offering enhanced access to the benefits of a World Mastercard, eliminating barriers like high security deposits and low approval rates.Our team thrives on in-person collaboration in our unique center-city Philadelphia office, designed to be a comfortable "home away from home". This space not only offers stunning river views but also promotes rapid product development, strong relationships, and career growth. The excitement from achieving significant milestones is palpable. While we primarily work in the office, we provide reasonable flexibility for personal needs, such as caring for sick children or handling urgent errands, and we organize official remote weeks around major holidays. If you are passionate about making a meaningful impact, fostering collaboration, and enjoying generous perks, Perpay is the ideal place for you in Philadelphia.About the Role:As a Senior Data Scientist at Perpay, you will play a key role in our business's daily success, driving both new and existing product initiatives with your analytical prowess and machine learning expertise. Additionally, you will help shape the future of our data science team by developing scalable processes and systems to support our rapid growth. This is a thrilling opportunity to positively influence Perpay’s mission and improve the lives of our customers. We seek an individual who is enthusiastic about all facets of data science, including machine learning, exploratory data analysis, and the effective communication of results for real-time deployments. This pivotal position is part of our data science team and reports to the Data Science Manager.

About Us:At Perpay, a certified B Corp and Philadelphia's leading growth-stage startup, we are dedicated to enhancing the financial stability of everyday Americans. For over a decade, we have successfully established a strong product-market fit and a profitable operating model through our diverse product offerings. Our mission positions Perpay as the trusted financial partner for consumers with subprime credit.With more than 500,000 customers leveraging over $1 billion in spending power, we are at a transformative juncture. We are expanding our operations, introducing new solutions, and amplifying our impact. We seek passionate individuals eager to embark on this journey with us.Our venture partners include esteemed firms such as First Round Capital and L Catterton.Innovative Products We Offer:Perpay Marketplace: Integrates interest-free payments and modern e-commerce to lower ownership costs and encourage responsible repayment behaviors.Perpay+: Utilizes Marketplace repayment history to assist members in monitoring and enhancing credit scores with all three credit bureaus.Perpay Credit Card: Increases access to the benefits of a World Mastercard by eliminating common barriers such as high security deposits and low approval rates.Our team thrives on collaboration in our unique center-city Philadelphia office, a comfortable “home away from home” that features river views and encourages rapid development, strong relationships, and career growth. The excitement of achieving significant milestones is palpable here. While we primarily work in the office, we provide reasonable flexibility for personal needs, such as caring for sick children or urgent errands, and we coordinate official remote weeks around major holidays. If you are passionate about making a meaningful impact, valuing collaboration and equity, and enjoying generous perks, Perpay is the ideal workplace in Philadelphia right now.About the Role:As a Data Science Intern at Perpay, your primary focus will be on learning and growth. We recognize the importance of mentorship and provide students with the opportunity to gain invaluable work experience prior to graduation. Throughout the 10-12 week internship during the summer of 2026, you will utilize our extensive data sets to research, identify, and develop features that will enhance our models and drive tangible results. By applying your knowledge of modeling, statistical methods, and exploratory data analysis, you will collaborate with business leaders and present solutions aimed at fostering company growth. You will also have the chance to think strategically and identify long-term opportunities for contributing to our Data Science roadmap, all while honing the skills necessary for success in the field.

Role overview tsmg is looking for AI/ML Data Contributors based in Philadelphia, PA to assist with a variety of machine learning initiatives. This position centers on strengthening AI models through practical tasks such as data labeling, content review, and user testing. What you will do Label data and review content to help improve the accuracy of machine learning systems Take part in user testing, which may involve evaluating devices or virtual reality experiences Work on a range of projects, with the flexibility to contribute remotely or on-site depending on project requirements Work structure Assignments vary in both scope and duration. This role is well-suited for those interested in flexible, task-based work and the opportunity to participate in multiple projects over time.

Hybrid Opportunity in Philadelphia, PAAt BlueConic, we are revolutionizing the way businesses harness customer data, transforming it into actionable intelligence in real time. As the innovators behind the industry’s first Customer Growth Engine (CGE), we empower brands to transcend traditional Customer Data Platforms (CDPs), adopting a more intelligent, rapid growth model that leverages AI, prioritizes privacy, and delivers significant value throughout the customer journey.Join us in redefining customer engagement—where cutting-edge machine learning, causal decision-making, and real-time experimentation converge to facilitate optimized actions at scale.About the Role:We are seeking a skilled Data Scientist to become a vital member of our Product & Technology team. In this position, you will operate at the nexus of product development and customer-centric data science, contributing to the creation and application of advanced decision-making capabilities that drive real-time personalization, experimentation, and optimization for growth.Your collaboration with product managers, engineers, and customer teams will be essential for designing, implementing, and operationalizing predictive and decision-making models—integral to BlueConic’s product roadmap and in direct collaboration with customers addressing significant growth challenges.This hands-on role is ideal for someone who thrives on transforming theoretical concepts into practical applications, moving from models to measurable real-world outcomes.Key Responsibilities:Design, develop, and deploy predictive and decision-making models that enhance BlueConic’s product functionalities, including next-best-action and real-time personalization.Utilize and advance causal inference techniques and reinforcement learning (notably contextual multi-armed bandits) to refine customer interactions and assess incremental impact.Collaborate with product and engineering teams to incorporate models into scalable, real-time systems.Engage directly with customers on advanced use cases, creating and validating models tailored to their unique business goals and data environments.Convert business objectives into modeling strategies, clearly communicating results to both technical and non-technical stakeholders.Contribute to experimentation frameworks, uplift modeling, and closed-loop optimization methodologies.Help establish best practices for data science within the product organization, including standards for model evaluation, testing, and deployment.

About Us:At Perpay, we are proud to be a certified B Corp and a leading growth-stage startup in Philadelphia, committed to enhancing the financial stability of everyday Americans. For over ten years, we have achieved a strong product-market fit with a profitable and efficient operating model across a diverse range of products, establishing Perpay as the top financial partner for consumers navigating subprime credit.With more than 500,000 customers leveraging over $1 billion in spending power, we are at an exciting juncture. We are expanding our operations, creating innovative offerings, and amplifying our positive impact. We invite enthusiastic team members to join us on this transformative journey.Our venture partners include First Round Capital and L Catterton.Our impactful product offerings include:Perpay Marketplace: Merging interest-free payments with modern e-commerce to lower ownership costs and encourage responsible repayment behavior.Perpay+: Utilizing Marketplace repayment history to assist members in monitoring and improving their credit scores with all three major credit bureaus.Perpay Credit Card: Enhancing access to the benefits of a World Mastercard by eliminating common obstacles like high security deposits and low approval rates.Our team thrives on collaboration in our inviting center-city Philadelphia office, which provides stunning river views and fosters rapid product development, strong relationships, and career growth. The atmosphere is invigorating as we celebrate significant achievements together. While we primarily work on-site, we offer sensible flexibility for personal matters, including caring for sick children or urgent errands, and coordinate remote work weeks around major holidays. If you are passionate about making a difference, teamwork, equity, and enjoying generous perks, Perpay is the ideal place for you in Philadelphia.About the Role:As a Data Engineering Intern at Perpay, your primary focus will be on learning and development. We value mentorship and offer students a unique opportunity to gain valuable experience before graduation. During the 10-12 weeks of our internship in the summer of 2026, you will build data pipelines, design tools and infrastructure for large-scale data analysis, and tackle significant data warehousing challenges. You will collaborate with stakeholders to develop and implement innovative data solutions and extract actionable insights from complex datasets to guide management recommendations. In addition to engaging in impactful projects, you will have the opportunity to network with various business leaders to enhance your personal and professional growth.

tsmg seeks AI/ML Data Contributors based in Philadelphia, PA to help improve machine learning models across multiple projects. This position involves hands-on work with data labeling, reviewing content, and participating in user-based testing. What you will do Label data to support model training and evaluation Assess and review content for accuracy and relevance Take part in user-based testing, which may include device or VR testing Project format Assignments differ in scope and may be completed remotely or require in-person participation, depending on the project. Some tasks are suited for remote work, while others involve onsite activities. Work structure This is a task-based, flexible role. Contributors can choose projects that fit their schedule and interests, with opportunities to work on several assignments over time.

Join Databricks as a Resident Solutions Architect specializing in Healthcare & Life Sciences, where you'll leverage cutting-edge technology to transform healthcare data into actionable insights. In this role, you will collaborate with healthcare organizations to design and implement innovative data solutions that enhance patient outcomes and streamline operations.

tsmg seeks AI/ML Data Contributors to assist with a variety of projects based in Philadelphia, PA and throughout the United States. This role supports the development of machine learning models through practical tasks such as data labeling, content review, and user testing. Role overview Assignments differ in scope and format. Some projects are completed remotely, while others require in-person participation, including device or VR testing. Contributors may take part in several projects over time, providing exposure to different areas of artificial intelligence and machine learning. What you will do Work on flexible, project-based assignments, with both remote and on-site opportunities Label data, evaluate content, and participate in user-based testing as needed Gain experience in the AI/ML field by contributing to a range of tasks

Role overview This flexible contract position with tsmg centers on supporting machine learning projects as an AI/ML Data Contributor in Philadelphia, PA. The work involves hands-on tasks that help improve the accuracy and performance of AI systems. What you will do Label data to train and refine machine learning models Evaluate content for quality and relevance Participate in user testing to assess AI outputs Project details Assignments are organized by task and may require a mix of remote and on-site participation. Some projects include testing with physical devices or in virtual reality environments. Contributors can take part in multiple projects over time, depending on personal availability and interest.

Reply is seeking an AI/ML Engineer with deep experience in AWS. This position is available in Atlanta, GA, Kansas City, MO, and Philadelphia, PA. The team partners with clients to apply artificial intelligence and machine learning, aiming to strengthen their technology capabilities. What you will do Design and develop machine learning models tailored to real business challenges Deploy scalable solutions using AWS services Collaborate with colleagues from various teams to deliver project outcomes Ensure data integrity is maintained throughout each project phase Requirements Solid understanding of AI and machine learning concepts Proven experience with AWS and deploying machine learning solutions in the cloud Ability to work collaboratively and adapt to shifting project needs

Join StemXpert as an Analytics Engineer, where you will play a pivotal role in transforming data into actionable insights. Collaborate with cross-functional teams to design and implement robust data solutions, ensuring data integrity and accessibility. You will leverage cutting-edge technologies to analyze complex datasets and develop analytical models that drive business strategies.

At CapTech, our Data Engineering consultants empower clients to construct and sustain sophisticated data systems that integrate data from diverse sources to facilitate informed decision-making. We specialize in developing pipelines and preparing data for utilization by data scientists, analysts, and other data systems. Our passion lies in problem-solving and delivering innovative solutions tailored to our clients' needs. As Cloud Data Engineers, we leverage the cloud infrastructure of our clients to provide immediate value and ensure scalability for future growth. We thrive in a collaborative environment, offering numerous opportunities to learn from and share insights with fellow developers, architects, and clients.Your Impact and Responsibilities:Serve as a trusted advisor to customers, offering best practices, methodologies, and technologies for implementing robust data engineering solutions.Design, implement, and maintain modern data pipelines that deliver optimal solutions using appropriate cloud technologies.Collaborate with product owners and business subject matter experts (SMEs) to analyze customer requirements and deliver sustainable engineered solutions.Provide technical leadership and collaborate across teams to ensure alignment of technical solutions with customer needs.Stay abreast of the latest cloud technologies, patterns, and methodologies; effectively communicate results and ideas to key stakeholders.

About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.

Join Our TeamAt Vanguard Intellectual Partners, we are looking for a dedicated Intellectual Property Associate specializing in Patent Prosecution, with a focus on Chemical Engineering and Materials Science. This is an exciting opportunity for individuals passionate about innovation and technology.Position OverviewThe ideal candidate will possess prior patent prosecution experience coupled with a strong background in chemical engineering or materials science. You will work with cutting-edge technologies, including filtration, material science, polymer science, and medical devices. Experience in both chemical and mechanical preparation and prosecution is essential. Candidates with patent searching and analysis skills will be given preference.Qualifications• Juris Doctor (JD) degree and bar admission are required.• Proven experience in patent prosecution.• Strong academic credentials and excellent written and oral communication skills.• Collaborative attitude and a commitment to client-focused teamwork.We are committed to fostering a culture of collaboration and success within a client-centered environment.

Valorem Reply is a prestigious digital transformation firm dedicated to enhancing business operations through data-driven solutions, IT modernization, customer experience enhancement, product transformation, and creating a digital workplace. Our expertise lies in harnessing the capabilities of Microsoft technologies to deliver scalable, agile, and innovative digital business services tailored to our clients' needs.As a Data Engineer at Valorem Reply, you will be instrumental in designing, constructing, and optimizing cutting-edge data platforms utilizing Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Your role will merge technical prowess with strong consulting abilities, engaging clients to understand their business challenges and translating those insights into scalable data solutions. You will play a key role in solution architecture, delivering high-quality data solutions that yield tangible business benefits. You will find yourself in a collaborative environment where you can discuss intricate technical details with engineers, facilitate design sessions with clients, and present your recommendations to executive leadership.

At CapTech, our Data Engineering consultants empower clients to construct and sustain sophisticated data systems that unify information from various sources, enhancing decision-making capabilities. Our team excels in developing data pipelines and preparing datasets for utilization by data scientists, analysts, and integrated data systems. We thrive on tackling challenges and delivering innovative solutions tailored to our clients' needs. As Cloud Data Engineers, we leverage cloud infrastructure to provide immediate value while ensuring scalability for future demands. We foster a collaborative atmosphere with ample opportunities for knowledge sharing and professional growth alongside our peers, architects, and clients.Key responsibilities for the Cloud Data Engineer position include:Creating data pipelines and other data solutions utilizing Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).Providing expert advice to clients on technologies and methodologies for efficient data ingestion and processing in cloud environments.Employing engineering best practices to resolve intricate data challenges.Collaborating with end users, development teams, and business analysts to ensure optimal data architecture that maximizes client data value across their organization.Explaining architectural distinctions between various solution strategies, highlighting their respective advantages and disadvantages.

At Veeva Systems, we are committed to transforming the life sciences industry. As a leader in industry cloud solutions, we empower life sciences organizations to accelerate the delivery of therapies to patients. With a remarkable trajectory, we achieved over $2 billion in revenue last fiscal year and continue to expand our horizons.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—guide our actions. As a proud public benefit corporation (PBC) since 2021, we are dedicated to balancing the needs of customers, employees, society, and investors.As a Work Anywhere company, we prioritize your flexibility, allowing you to choose an ideal work environment—whether at home or in the office.Join us in revolutionizing the life sciences sector by making a meaningful impact on our customers, employees, and communities.The RoleAs a Senior Architect within our Commercial Technology Architecture team, you will play a vital role in guiding life sciences clients in crafting effective technology strategies and architectures that align with their commercial objectives. You will oversee various aspects of our clients' commercial solutions—including application architecture, systems and data integrations, and business process assessments—to help them achieve commercial excellence through integrated master data and compliant content.In this position, you will lead business process due diligence, provide best practices advice, and design end-user requirements for customer application implementation projects. You will produce deliverables throughout the entire lifecycle of Veeva applications for pharmaceutical and medical device organizations. Collaborating with clients, vendors, and Veeva colleagues, you will deliver high-quality solutions that drive customer success while progressively taking on responsibilities for analysis, design, and the creation of commercial architecture landscapes supported by Solution Architects.This is a remote, full-time permanent role with Veeva, designed for customer interaction. As long as you are near an airport and can meet future travel requirements, there are no specific location constraints.