Data Science Analyst

As a Machine Learning/Data Science Engineer at CapTech, you will play a pivotal role in crafting and executing innovative data-driven solutions for our clients. Your main focus will be on architecting and deploying scalable machine learning systems within enterprise settings. At CapTech, we foster a collaborative culture that encourages continuous learning and knowledge sharing among analysts, architects, and clients.Key Responsibilities:Collaborate effectively with clients, data scientists, engineers, and cross-functional teams to deliver comprehensive end-to-end machine learning solutions while exploring new methodologies to fulfill business objectives.Translate client needs into actionable data-driven processes, models, and analytical metrics.Perform in-depth analysis and transformation of extensive datasets hosted on various enterprise-level data platforms, including AWS, Azure, and GCP.Design, develop, and implement advanced analytical solutions utilizing client data, such as recommender systems, natural language processing models, and risk assessment frameworks.Operationalize machine learning systems with an emphasis on optimization and scalability to meet client expectations.Contribute to the growth of CapTech’s Machine Learning and Data Science practices by delivering engaging client presentations, crafting proposals, participating in business development events, and mentoring 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 for our clientele. Your primary focus will be on developing and deploying scalable machine learning systems within enterprise environments. At CapTech, we foster a collaborative atmosphere, offering numerous opportunities to engage with and learn from fellow analysts, architects, and clients.Key responsibilities for the Lead Machine Learning Engineer role include: Collaborating with clients, data scientists, engineers, and cross-functional teams to devise end-to-end machine learning solutions and explore new methodologies in data science to fulfill business objectives.Providing technical leadership and ensuring alignment of technical solutions with client requirements across teams.Translating client needs into data-driven processes, models, and analytical metrics.Conducting analysis and transformation of large datasets leveraging various enterprise-level data platforms such as AWS, Azure, and GCP.Designing, developing, and deploying advanced analytical solutions utilizing client data, including recommender systems, natural language processing, and risk scoring.Optimizing and scaling machine learning systems to meet client specifications.Enhancing CapTech’s Machine Learning and Data Science capabilities through client presentations, proposal writing, participation in business development events, and mentoring junior data scientists and engineers.

Join Our Team as a Machine Learning Engineer! At FanDuel, we consider data to be the driving force behind our success. As a Machine Learning Engineer, you will play a pivotal role in harnessing our extensive real-time and relational data to deliver exceptional insights to our business and create tailored experiences for our customers. Every action taken by our users—be it a click, a bet, or a play—is an opportunity for us to extract valuable knowledge and make swift, informed decisions that keep us ahead of the competition. Collaboration is essential in this role. You will serve as the crucial link between engineering teams focused on enhancing our online applications and data teams responsible for sourcing the necessary data for feature engineering. Additionally, you will work closely with Data Scientists and Analysts to implement, evaluate, and validate AI-driven insights. Your task will involve organizing, modeling, and presenting our data cohesively to stakeholders, enabling FanDuel to adapt intelligently to developments on the field and in the market. If you are a Machine Learning Engineer eager to transition into a big data environment, we want to hear from you!

About GBGEmpowering Safe and Rewarding Digital Experiences for Real People WorldwideAt GBG, we are dedicated to broadening access to digital opportunities for authentic individuals, while enabling businesses to connect with genuine customers. Our advanced technology leverages diverse and credible data sources to establish a definitive reference point for identity and address verification.With over three decades of industry experience, our team is committed to fostering safe and rewarding digital interactions for everyone. We believe that people of all ages, locations, and backgrounds should have the ability to digitally validate their identity and residence.About the Team and RoleThe CVML TeamsAs a core component of GBG's Documents and Biometrics portfolio, our team is dedicated to developing innovative and robust artificial intelligence models aimed at transforming KYC verification for our clients. We are at the forefront of advancing these state-of-the-art technologies, striving to deliver exceptional solutions for document verification and digital trust. Our collaborative approach harnesses a wide range of expertise to achieve collective success, and we operate within an Agile framework to enhance efficiency through automation.Senior Machine Learning EngineerThe Senior Machine Learning Engineer is a pivotal contributor responsible for architecting, building, deploying, and continuously refining machine learning and computer vision models that drive production-grade systems. This position demands a blend of hands-on technical proficiency, mentorship, collaborative efforts, and data-driven problem-solving capabilities.Working in an Agile setting, the Senior ML Engineer collaborates with the machine learning team and cross-functional partners to translate product requirements into robust ML solutions. The role necessitates deep expertise in contemporary ML and computer vision methodologies, experience in operating models in production environments, and the ability to mentor junior engineers through the entire ML lifecycle while driving significant improvements in model performance and product quality.Key ResponsibilitiesTechnical Development & InnovationDesign, implement, and optimize cutting-edge machine learning and computer vision models to elevate product capabilities.Conduct research, evaluation, and application of modern architectures and techniques, including CNNs, transformers, and vision-language models.Implement and benchmark newly developed algorithms on large-scale datasets, validating both accuracy and throughput.Refine large-scale models utilizing efficient adaptation techniques such as LoRA and QLoRA.Model Evaluation & Data AnalysisDefine, implement, and monitor suitable evaluation metrics (e.g., precision, recall, ROC-AUC, confusion matrices).Analyze training data and model performance to drive improvements.

As a Lead Data Strategist at CapTech Consulting, you will leverage your extensive technical, functional, and industry knowledge to drive business development, enhance account management, and showcase thought leadership within our organization. You will engage directly with our clients’ technology and business leaders, offering both technical and project guidance while fostering a collaborative environment. This role also involves mentoring our consultants and providing management consulting in data and analytics.Utilizing your industry and technical acumen to partner with client stakeholders, transforming abstract ideas into actionable insights and optimizing the value of client data across their organizations.Analyzing and delivering robust strategic plans that enhance data integration, quality, and delivery to align with business initiatives and roadmaps.Evaluating and recommending data management technologies and practices, addressing gaps between the current and desired future states.Articulating architectural trade-offs across various solution options and ensuring alignment with client technical requirements.Inspiring and developing team members through coaching, teaching, and empowering them to enhance their technical and consulting capabilities.Collaborating with portfolio teams to showcase technical capabilities, conceptualize valuable solutions, estimate proposed work plans, and advise on team composition for effective delivery.Thriving in a fast-paced environment, managing internal CapTech initiatives while leading client engagements.

JOIN OUR TEAMWe are excited to announce an opening for a Data Product Manager in our Data Products team at FanDuel. This pivotal role is situated in a dynamic environment, working collaboratively with various teams and stakeholders across the organization to spearhead the development and improvement of our Data Science and Machine Learning products. You will be instrumental in enhancing our ML Platform, which encompasses experiment tracking, model lifecycle management, observability, and feature engineering capabilities. These tools empower our data scientists to efficiently build, deploy, and monitor models at scale. If you're ready to embrace this challenge and thrive in a vibrant company, we want to hear from you!YOUR ROLEEvery member of our team plays a vital part in our success.Own data products that provide key insights and influence future business strategies.Lead requirement gathering via user stories and acceptance criteria, prioritizing the product backlog to optimize program execution.Collaborate closely with cross-functional teams—data scientists, engineers, and business stakeholders—to ensure alignment of our platform with business goals and delivery of advanced ML solutions.Work in partnership with Data Science and Machine Learning Data Engineering teams to maximize value derived from data.Bring innovative ideas to address business challenges, leveraging your commercial acumen to create effective solutions.Collaborate with Engineering teams to define solutions and approaches.Develop and maintain user guides, technical documentation, and best practices for the Machine Learning platform, including tools for experiment tracking, model deployment, feature engineering, and observability.Monitor platform performance, model accuracy, and data quality, identifying and resolving issues to enhance platform efficiency.Serve as a catalyst for effective and sustainable change, guiding the organization through transformation.Contribute significantly to the PM community at FanDuel by sharing industry best practices and fostering a culture of knowledge exchange and cross-skilling.

At CapTech Consulting, our Data Architects play a pivotal role in aligning client business objectives with cutting-edge technology solutions to ensure successful data delivery implementations. Our mission is to elevate the value of our clients' businesses by optimizing data utilization, enhancing information governance, and streamlining data processes. By gaining a comprehensive understanding of our clients' unique challenges, our architects leverage their expertise and state-of-the-art tools to identify optimal solutions. We view our Data Architects as thought leaders who not only drive innovation but also nurture and develop our internal talent, enhancing our data and analytics capabilities.Key responsibilities for the Data Architect role include:Evaluating and promoting data management technologies and practices to bridge gaps between existing and desired future states.Crafting and delivering strategic plans that enhance data integration, quality, and delivery, supporting business initiatives and roadmaps.Analyzing architectural trade-offs across various solution options and recommending optimal solutions that meet technical requirements.Empowering and mentoring team members by enhancing their technical and consulting skills.Collaborating closely with client stakeholders and development teams to maximize the value of data architecture recommendations within the organization.Pioneering innovative technology solutions through thought leadership on emerging trends.Sharing project outcomes and solutions with colleagues to refine future project deliveries.Partnering with the CapTech business development team to showcase our technical strengths, envision proposed solutions, and estimate work plans.

At CapTech, our Senior Data Architects are pivotal in aligning our clients’ business objectives with cutting-edge technology solutions to ensure successful data delivery implementations. We focus on enhancing our clients’ business value through optimized data utilization, effective information stewardship, and streamlined data processes. By gaining a comprehensive understanding of our clients' unique challenges, our architects leverage their expertise and utilize state-of-the-art tools to identify the most effective solutions. We believe our Data Architects are thought leaders in the data domain, entrusted with mentoring CapTech talent and expanding our data and analytics capabilities.Key responsibilities for the Senior Data Architect role include:Evaluating and promoting data management technologies and practices to bridge gaps between current capabilities and future needs.Formulating impactful strategic plans to enhance data integration, quality, and delivery, aligning with business initiatives.Analyzing architectural trade-offs across various solutions to recommend optimal solutions that satisfy technical requirements.Leading teams of data engineers and technical personnel through design and implementation phases, ensuring best practices are followed.Providing insights to executive stakeholders and development teams to maximize the value of client data throughout the organization.Ensuring that recommended solutions deliver business value and align with the strategic goals of clients.Communicating with non-technical executives about the advantages of modern enterprise-level data solutions.Driving innovative technology solutions through thought leadership on emerging trends in data management.Sharing project solutions and outcomes with colleagues to enhance future project deliveries.Exhibiting leadership within the Data & Analytics practice area, focusing on talent development and capability growth.Collaborating with the CapTech business development team to showcase our technical capabilities and envision proposed solutions.

PrizePicks stands out as a major player in Daily Fantasy Sports, offering contests across leagues like the NFL, NBA, and popular Esports titles. The company has grown rapidly, earning recognition as North America's fastest-growing sports company by Inc. 5000. With a team of over 550, PrizePicks values an inclusive workplace that welcomes people from all backgrounds, regardless of their sports interests. Role overview The Senior Machine Learning Platform Engineer will focus on building and advancing the machine learning platform at PrizePicks. This role is central to scaling and deploying machine learning capabilities that shape user experiences on the platform. Key impact areas Integrate low-latency machine learning models into systems for sports betting and daily fantasy sports Improve core metrics, including Time-to-Bet, Deposit Velocity, and Platform Integrity Location This position is based in Atlanta, GA, though remote work is also supported.

Role overview FanDuel seeks a Staff Machine Learning Engineer based in Atlanta to lead projects that use advanced artificial intelligence and machine learning methods. This role centers on designing and developing scalable ML solutions that enhance FanDuel’s products and services. What you will do Design and implement machine learning systems that support product and user experience objectives Set technical direction for major projects and initiatives Mentor engineers, sharing knowledge and encouraging professional growth Deliver solutions that directly affect FanDuel’s growth and user satisfaction Who succeeds in this role Engineers with deep experience in machine learning and artificial intelligence Leaders who value mentoring and shaping technical strategy Individuals motivated by seeing their work influence product direction and company outcomes

Join CapTech as a Salesforce ArchitectCollaborate with clients on innovative, cross-functional projects to implement scalable Salesforce solutions throughout the entire Software Development Lifecycle (SDLC) using Agile methodologies.Act as a trusted technical advisor, overseeing architectural scope and ensuring alignment of technical solutions with business objectives.Effectively communicate with both technical and non-technical stakeholders, establishing clear expectations and guiding informed decision-making.Technical SolutionsLead the technical architecture and execution of Salesforce implementations, encompassing custom development, integrations, and data migration.Design enterprise-level Salesforce solutions, including Sales Cloud, Service Cloud, Experience Cloud, and relevant managed packages.Oversee and review integrations between Salesforce and external systems, including ERP platforms, financial systems, marketing tools, identity providers, and document management solutions.Define and support environment strategies, release management, and DevOps processes that align with enterprise delivery standards.Thought Leadership and Professional DevelopmentDevelop and execute a personalized professional development plan aimed at mastering Salesforce architecture and exploring emerging platform capabilities.Showcase technical thought leadership by contributing to architectural standards, best practices, and the creation of reusable accelerators.Mentor architects and developers through architecture reviews, community practices, and ongoing knowledge sharing.Engage in technical pre-sales activities, including solution design, estimations, and delivery scoping for potential clients.Gain exposure to a diverse array of clients, business models, and industry sectors.

Role Overview ServiceNow is hiring a Staff Machine Learning Engineer focused on VoIP Infrastructure in Atlanta. This position centers on developing and refining machine learning models to strengthen VoIP services. The work involves close collaboration with teams across the company to bring advanced algorithms into current systems. The goal: improve reliability and quality for users.

Turnitin is a pioneering force in the global education sector, having collaborated with educational institutions for over two decades to foster honesty, consistency, and fairness across diverse subject areas and assessment types. Our products and services are utilized by more than 16,000 academic institutions, publishers, and corporations worldwide.At Turnitin, we embrace a remote-first culture as our default working model. We honor local cultures, promote diversity, and respect personal choices. Our headquarters is based in Oakland, with additional offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), and Amsterdam (Netherlands). Our united team of diverse professionals is driven by a common goal to enhance the educational landscape. This remote-first environment ensures that every team member has equal access to learning and career advancement opportunities, allowing us to innovate by recruiting talent from various backgrounds.Machine Learning is pivotal to our company's ongoing success. Join our dynamic global team of inquisitive, collaborative, and self-sufficient scientists and engineers, all dedicated to creating state-of-the-art Machine Learning systems. You will collaborate closely with product and engineering teams across Turnitin, integrating Machine Learning into an extensive range of learning, teaching, and integrity products.We are uniquely positioned to leverage Machine Learning for the benefit of countless instructors teaching millions of students globally. Your work will have a far-reaching impact. Billions of papers have been submitted to Turnitin's platform, with hundreds of millions of assessments graded via our Gradescope and Examsoft solutions. Machine Learning drives our AI Writing detection system, automates feedback on student writing, analyzes authorship, transforms assessment design and grading, and plays a vital role in many backend processes.

Join ClarityPay as the Director of Data Science, where you will lead groundbreaking data initiatives and drive strategic decision-making through data-driven insights. In this pivotal role, you will manage a talented team of data scientists and analysts, fostering innovation and collaboration to enhance our data capabilities.Key responsibilities include developing and implementing advanced analytical models, overseeing data collection and management processes, and collaborating with cross-functional teams to identify opportunities for leveraging data to enhance business outcomes. Your expertise will be crucial in guiding the company’s data strategy and ensuring alignment with our business objectives.

Join Our Team as a Data Engineer!At FanDuel, we are excited to announce an opportunity for a Data Engineer to join our expanding data engineering team. In this pivotal role, you will be instrumental in designing, developing, and maintaining the robust data pipelines and infrastructure that underpin analytics, machine learning, and strategic business decisions across our organization. Collaborating closely with various stakeholders, you will support impactful data initiatives and ensure that our data systems are efficient and reliable.The ideal candidate is a proactive technical expert with a passion for working with large-scale data, adept at solving real-world challenges, executing projects independently, and eager to learn in a fast-paced setting. If you are enthusiastic about this opportunity and want to thrive within a vibrant company culture, we would love to hear from you!Your Responsibilities:Build & Maintain Data Pipelines:Design, implement, and manage scalable batch and streaming data pipelines to support analytics and operational needs.Create clean, efficient, and well-documented code using technologies such as Python, SQL, and Spark.Guarantee the reliability and timely delivery of accurate data.Lead initiatives to enhance and develop well-defined data products.Collaborate Across Teams:Engage with data analysts, data scientists, and product managers to clarify requirements and deliver actionable data solutions.Translate business inquiries into engineering tasks and contribute to technical project planning.Participate in code reviews, sprint planning, and retrospectives as part of an agile team.Contribute to the establishment of best practices across the team.Ensure Data Quality & Operations:Monitor data pipelines and promptly troubleshoot any issues that arise.Drive the reliability and continuous enhancement of our data platforms and pipelines.Implement data quality checks and engage in observability and testing practices.Document data sources, transformation processes, and architectural decisions to support long-term maintainability.

Join a global team of visionaries and trailblazers at New Relic, where we are committed to redefining the future of observability. Our intelligent platform empowers businesses to excel in an AI-driven landscape by providing unmatched insights into their intricate systems. As we grow our global presence, we are eager to find passionate individuals ready to help elite companies optimize their digital applications. If you’re prepared to be part of this transformative journey, we encourage you to consider a career with us!Your opportunityAs a Lead Data Scientist, you will play a pivotal role within the analytics organization, spearheading the creation of sophisticated data products and machine learning solutions that drive strategic decisions. Collaborating closely with product, engineering, and strategy teams, you will extract profound insights from our extensive telemetry data. In this impactful individual contributor position, you will establish benchmarks for technical excellence, design scalable data science frameworks, and mentor junior data scientists, all while addressing complex challenges in the observability domain.What you’ll doLead the design, development, and implementation of advanced machine learning models and predictive algorithms to tackle essential business challenges, including churn prediction, user segmentation, and product usage forecasting.Act as a technical subject matter expert, advising the team on best practices in statistical analysis, experimental design, and code quality.Collaborate with Product Managers and Engineers to transform vague business inquiries into structured data science projects with tangible results.Promote the adoption of MLOps best practices, ensuring that models are scalable, reproducible, and effectively monitored in production.Conduct in-depth analyses of user behavior and product performance to uncover optimization and growth opportunities.Mentor and nurture fellow data scientists and analysts, fostering a culture of ongoing technical learning and innovation.Effectively communicate complex technical insights to non-technical stakeholders through engaging data storytelling and visualization.

Engineering at TractianAt Tractian, our Engineering team is leading the way in creating state-of-the-art infrastructure, technologies, and products to leverage the potential of IoT data. Our skilled engineers work collaboratively to develop resilient systems, innovative solutions, and scalable platforms that are pivotal to Tractian's growth. We play a crucial role in influencing the company's strategic decisions, enhancing operational efficiency, and providing outstanding experiences for our users.Your RoleAs a Data Infrastructure Engineer, you will be tasked with designing and implementing single-tenant database solutions that ensure secure data control for our customers. You will lead the transition of our multi-tenant infrastructure to a partitioned architecture, enhance SQL performance, and tackle complex database challenges. Your contributions will be vital in establishing scalable, dependable systems that empower customers with secure and innovative solutions.

Join PrizePicks, the fastest-growing sports company in North America as recognized by Inc. 5000. As the premier platform for Daily Fantasy Sports, we engage fans across various sports leagues, including the NFL, NBA, and popular Esports titles such as League of Legends and Counter-Strike. Our diverse team of over 550 employees flourishes in an inclusive culture that celebrates individuals from all backgrounds, regardless of their level of sports enthusiasm. Are you ready to transform the DFS landscape with us?As a Staff Machine Learning Engineer, you will take the lead in developing, maintaining, and testing projects related to our global search functionality. You will design and implement a native Search & Discovery Module powered by our Dataverse Stack, with the aim of delivering a search experience that is not only fast (

Join our dynamic team as a Lead Big Data Engineer, specializing in data ingestion from over 100 source systems in both batch and near real-time environments. You will be pivotal in designing and developing the new NCR Data Lake using Hortonworks HDP and HDF distributions. Your leadership will inspire the engineering team to cultivate an innovative mindset and enhance technical skills while actively participating in Big Data Communities of Practice. Your role will also involve implementing the essential systems for production, ensuring efficient data governance and egestion processes.