Senior Data Scientist - Lead Innovative Analytics Solutions

Join CapTech as a Lead Machine Learning Engineer, where you will spearhead the design and implementation of innovative, data-driven solutions tailored to our clients' needs. Your expertise will be crucial in building and deploying robust machine learning systems within enterprise environments. At CapTech, we foster a collaborative culture that encourages knowledge sharing among analysts, architects, and our clients, creating opportunities for professional growth.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to devise and implement comprehensive machine learning solutions that align with business objectives.Provide technical guidance and leadership, ensuring that the overall technical strategy meets client expectations.Translate client requirements into actionable, data-driven processes and analytical models.Analyze and manipulate large datasets from various enterprise-level platforms, such as AWS, Azure, and GCP.Design, develop, and deploy sophisticated analytical solutions utilizing client data, including recommender systems and natural language processing.Optimize and productionize machine learning systems to ensure scalability and performance in line with client demands.Enhance CapTech's Machine Learning and Data Science practices through client presentations, proposal writing, participation in business development events, and mentoring junior team members.

As a Machine Learning Engineer at CapTech, you will be at the forefront of designing and executing innovative data-driven solutions tailored for our diverse clientele. Your primary focus will be on constructing and deploying robust machine learning systems within enterprise environments. Enjoy collaboration in a dynamic atmosphere that fosters knowledge sharing among analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional teams to develop comprehensive machine learning solutions while discovering novel data science methodologies to fulfill business objectives.Translate client requirements into data-centric processes, models, and analytical metrics.Examine and process extensive datasets across various enterprise-level data platforms, including AWS, Azure, and GCP.Design and implement sophisticated analytical solutions utilizing client data, such as recommender systems, natural language processing, and risk assessment models.Optimize and scale machine learning systems to meet client specifications effectively.Enhance CapTech’s Machine Learning and Data Science practices through client presentations, proposal writing, participation in business development activities, and mentoring junior data scientists and engineers.

We are seeking a skilled and detail-oriented Data Quality Lead to join our dynamic team in Charlotte, NC. In this pivotal role, you will oversee the management and enhancement of data quality processes, ensuring the integrity and accuracy of our data assets.Your responsibilities will include developing and implementing data quality frameworks, conducting audits, and collaborating with cross-functional teams to identify and rectify data issues. You will play a crucial role in fostering a culture of data excellence across the organization.

As a Lead Data Strategist at CapTech Consulting, you will leverage your extensive technical, functional, and industry knowledge to enhance business development, account management, and thought leadership. This pivotal role requires you to lead solution delivery while serving as the primary liaison between client technology and business leaders. You will provide both technical and project leadership, and act as a servant leader to our clients and team, delivering management consulting on data and analytics, along with career guidance and mentorship for consultants.Utilizing your industry expertise to work closely with client stakeholders, transforming abstract concepts into actionable insights and maximizing the value of client data across their organizations.Crafting and executing strategic plans that improve data integration, quality, and delivery to support various business initiatives and roadmaps.Evaluating and championing data management technologies and best practices, addressing discrepancies between current capabilities and desired future states.Articulating architectural trade-offs among potential solution options prior to recommendations, ensuring client technical requirements are thoroughly met.Inspiring and developing team members through coaching, teaching, and empowering them to enhance their technical and consulting skills.Collaborating with portfolio teams to showcase technical capabilities, conceptualize valuable solutions, estimate work plans, and suggest team compositions to support project delivery.Thriving in a fast-paced environment, balancing internal CapTech initiatives with leading client engagements.

Associate Data Science Product Manager Launch Program Overview: Embark on your career journey with immediate impact! The Launch Program at Red Ventures offers a unique onboarding experience that immerses you in our culture, business model, and leadership philosophy from day one. Collaborate with fellow new team members across various roles in a supportive cohort environment, allowing you to build lasting connections as you navigate your early career. After completing your initial training, you'll integrate into one of our teams, where you'll have the chance to work closely with mentors and managers to make a significant impact and accelerate your professional growth. We recognize that effective Data Science Product Managers bring diverse experiences and skill sets to the table. This dynamic role will provide you with hands-on experience in data science, data analysis, and product management. During your first two years, you will actively contribute to the product life cycle through analytics, roadmap development, model creation, and effective communication with product leadership. Your Responsibilities: As an Associate Data Science Product Manager, you will be essential in connecting complex data science projects with impactful product solutions, ultimately creating value for both our business and our customers. Identify opportunities to enhance product impact through a comprehensive understanding of problem areas, product strategy, technology, and advanced statistical analysis. Communicate your findings effectively to product leads to drive action. Translate your insights into actionable work streams and features that enhance the product roadmap. Collaborate with Data Science, Design, and Engineering teams to define clear requirements, supported by your product lead. Utilize algorithms and programming tools to carry out significant technical initiatives, including: Developing data pipelines for gathering, manipulating, and visualizing large datasets. Creating machine learning models for offline and proof-of-concept applications. Establishing automated workflows or reasoning capabilities for specific product features. Take ownership of experiments from start to finish. Assist in launching features that aim to improve core KPIs, conducting analyses to evaluate their impact, and taking responsibility for the outcomes.

This position does not offer visa sponsorship or transfer, including for H1-B, F-1, OPT, STEM-OPT, or TN visa holders, and it is not available for corp-to-corp arrangements.This role operates on a hybrid schedule, based at our headquarters in South Charlotte, NC, requiring in-office attendance Tuesday through Thursday, with remote work available on Mondays and Fridays.Join our innovative Growth and Transformation team (RVGT) as a Senior Data Science Product Manager, responsible for spearheading the development of AI/ML-driven digital products that significantly improve customer acquisition, engagement, and retention. At RVGT, we collaborate with Fortune 500 companies to implement data-centric solutions that revolutionize their operations—providing state-of-the-art technology, scalable infrastructure, and modern workflows. Our teams utilize machine learning and AI to analyze rich customer data, informing every stage of the customer journey. We work closely with clients across various sectors to create applications that transform media production, personalize site experiences, enhance customer interactions, and integrate intelligence into our digital purchasing processes.In this role, you will have the chance to directly shape the digital customer experience for one of our partners. You will contribute to the product strategy focused on enhancing customer interactions, propose feature developments, set key performance indicators (KPIs) for your products, and drive growth against these metrics using advanced ML concepts to create tailored user journeys. Our ideal candidates are technically proficient, able to leverage data to pinpoint opportunities, and effectively utilize the team’s ML/AI solutions to generate business value and user engagement. We seek individuals with hands-on experience in leading product development and creating ML and AI solutions.The Impact You’ll MakeDrive Strategic Transformation: Serve as the primary lead on strategic banking initiatives, ensuring alignment of AI/ML solutions with business goals and client needs.Build the Future of Banking: Discover AI opportunities that add value, from automating intricate financial workflows to developing systems for real-time client support.End-to-End Ownership: Manage the product lifecycle from initial business case and feasibility evaluation to hands-on execution and ongoing optimization.Technical Leadership: Collaborate closely with engineering and data science teams to drive product innovations.

*Must be able to work Eastern Standard Time hours. This position does not offer visa sponsorship or transfer, including for individuals on OPT and STEM-EXT OPT, nor is it available for corp-to-corp arrangements. Join the team at Bankrate.com as a Staff Data Engineer, where you will play a pivotal role in shaping our data platform to empower millions in their financial decision-making processes. As a Staff Data Engineer, you will architect and scale the data systems that seamlessly integrate with our products, analytics, and business units. You will lead architectural initiatives, mentor fellow engineers, and collaborate across various teams to deliver robust, high-performance data solutions that create a measurable impact. We leverage Databricks and AWS with Terraform, and prior experience with these technologies will be highly beneficial. You'll thrive in a modern, cloud-native data environment that emphasizes accessibility, performance, and continuous improvement.

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 Sonsoft Inc. as a Big Data/Hadoop Engineer, where you will be at the forefront of data innovation. In this role, you will harness the power of big data technologies to design and implement advanced data processing solutions. Work collaboratively with cross-functional teams to drive data-driven decision-making and enhance our product offerings.

Please note: This position ideally operates on a hybrid schedule in Charlotte, NC (Tuesday-Thursday in-office). Preference will be given to candidates currently residing in Charlotte, NC, or those willing to relocate.About the RoleLendingTree is excited to welcome a Snowflake & Data Platform Operations Engineer to our dynamic Platform Operations team. In this hands-on role, you will play a critical part in automating, scaling, and supporting our cloud-based data ecosystem utilizing Snowflake, as well as AWS and Azure services. Your focus will be on reducing operational overhead through Continuous Integration/Continuous Deployment (CI/CD), implementing robust monitoring solutions, and employing an automation-first engineering approach.Key ResponsibilitiesSnowflake Administration: Oversee environments, manage security policies (RBAC), and conduct performance tuning to optimize costs and query efficiency.Platform Automation: Design and maintain CI/CD pipelines for database deployments using GitLab along with tools such as Liquibase or Red Gate.Cloud Integration: Facilitate integrations between Snowflake and AWS/Azure services, including object storage, messaging, and serverless functions (Lambda/Azure Functions).Pipeline & Streaming Operations: Sustain batch and streaming architectures (Confluent Kafka), troubleshoot ETL/ELT failures, and ensure data observability.Security & Reliability: Implement logging, auditing, and IAM controls; engage in incident response and root cause analysis (RCA).Collaboration: Work closely with Data Engineering and stakeholders to translate business requirements into scalable technical solutions.

This position involves a hybrid work schedule based at our South Charlotte, NC Headquarters from Tuesday to Thursday, with the flexibility to work remotely on Mondays and Fridays. Join the Red Ventures Home and Utility group as our next Data Engineering Manager! In this role, you will lead a team dedicated to designing, developing, testing, and maintaining robust big data pipelines, providing essential support for our business analytics and machine learning initiatives. Your leadership will empower our users to make informed decisions about the best services and products available.

Join our dynamic team at Sonsoft Inc. as a Big Data Engineer specializing in Hadoop and Cloud Analytics. In this role, you will leverage advanced data processing technologies to extract meaningful insights from large datasets, driving business decisions and enhancing operational efficiency.Your expertise in Hadoop frameworks and cloud platforms will be essential in building scalable data pipelines and performing data analysis. You will collaborate with cross-functional teams to implement analytical solutions that support our strategic goals.

Prosidian Consulting is seeking a highly skilled Lead Structural Engineer to join our team in Charlotte, North Carolina. In this role, you will leverage your expertise in structural engineering principles to lead complex projects, ensuring the highest standards of quality and safety are met.As a Lead Structural Engineer, you will collaborate closely with multidisciplinary teams, manage project timelines, and mentor junior engineers. Your contributions will be pivotal in shaping innovative structural solutions for our clients.

Company OverviewAt Olsson, we strive to engineer and design solutions that enhance the world around us. We are committed to being responsive, transparent, and results-oriented—prioritizing our people, our clients, and our company.As a people-centric organization, our greatest asset is our team. This commitment fosters an environment that encourages creativity and growth, cultivating a unique culture at Olsson that allows us to develop our employees alongside our business, making a lasting impact on the communities we serve.Job OverviewAs a Senior Electrical Engineer, you will collaborate with some of the largest technology firms and mission-critical clients. Your role will involve performing electrical engineering tasks on various projects, conducting design calculations, drafting technical reports, and preparing project documentation. Experience within the Data Center sector is highly desirable. You will also coordinate closely with other Olsson teams, technical staff, and clients to ensure project success.

cagents is seeking a Mechanical Commissioning Engineer for its Data Center Services team in Charlotte, North Carolina. This position ensures that mechanical systems within data centers are properly commissioned and function according to design specifications. Role overview This role focuses on verifying the installation and operation of mechanical equipment in data centers. The work plays a key part in delivering reliable and efficient service to clients by confirming that systems meet required standards before going live. Key responsibilities Oversee the commissioning process for mechanical systems in data centers Confirm that installations align with project requirements Support ongoing system reliability and efficiency for clients Location This position is based in Charlotte, North Carolina.

Mem Global brings together Jewish young adults in their 20s and early 30s to build meaningful connections and experiences. Through a wide range of peer-led programs in over 25 countries, the organization creates opportunities for young adults to explore and shape Jewish life together. The Jewish Learning Collaborative (JLC), launched in 2021, helps professionals, lay leaders, and individuals engage with Jewish texts and ideas. The program matches learners with diverse educators for personalized sessions, using data and educational methods to support a growing network of participants, clergy, and teachers. Role overview The Jewish Learning Collaborative Learning Manager serves as a key connector across the JLC community. This position provides proactive, relationship-focused support to partner organizations, learners, and educators, ensuring each group has a smooth and positive experience. The Learning Manager acts as the operational and relational backbone for JLC, helping the department run efficiently. What you will do Collaborate closely with the Director of Learning to bring the vision for the learner and educator experience to life Manage relationships with partner learning organizations Drive learner recruitment in partnership with those organizations Support learners throughout their journey, from initial engagement to ongoing participation Contribute to the smooth operation of the department Locations This role is based at a Mem Global Hub Office in one of the following cities: New York City, Washington D.C., Charlotte, Chicago, or Encinitas.

We are seeking a talented and experienced Informatica and Teradata Developer/Lead to join our dynamic team in Charlotte, North Carolina. In this role, you will leverage your extensive knowledge of Informatica and Teradata to lead projects, develop innovative solutions, and drive data management strategies that enhance our business operations.The ideal candidate will be passionate about data integration, have strong analytical skills, and possess leadership qualities to guide a team of developers effectively.

At CapTech Consulting, our Data Engineering team empowers clients to create and sustain sophisticated data systems that integrate diverse data sources, fostering informed decision-making. We specialize in constructing data pipelines and preparing datasets for utilization by data scientists, analysts, and various data systems. Our passion lies in problem-solving and delivering innovative solutions for our clients. Cloud Data Engineers utilize clients' cloud infrastructure to provide immediate value while ensuring scalability for future growth. We thrive in a collaborative atmosphere, filled with opportunities to learn from fellow developers, architects, and our clients.Your Role and Contributions:Serve as a trusted advisor to clients, sharing best practices, methodologies, and technologies to implement effective data engineering solutions.Design, implement, and maintain cutting-edge data pipelines to deliver optimal solutions leveraging the most suitable cloud technologies.Collaborate with product owners and subject matter experts to analyze client requirements and develop sustainable engineered solutions.Provide technical leadership and work collaboratively within and across teams to ensure that technical solutions align with customer needs.Remain updated with the latest advancements in cloud technologies, patterns, and methodologies, sharing insights and results with key stakeholders.

Speechify’s mission is to remove reading barriers and expand access to learning for everyone. More than 50 million people use Speechify’s text-to-speech tools to convert PDFs, books, Google Docs, news articles, and websites into audio, helping users read faster and remember more. Our product suite includes iOS, Android, Mac, Chrome extension, and web apps, and has earned honors such as Google’s Chrome Extension of the Year and Apple’s 2025 Design Award for Inclusivity. Speechify operates as a fully distributed team with nearly 200 professionals. Team members bring experience from Amazon, Microsoft, Google, Stanford, Stripe, Vercel, and other leading organizations. Our group includes frontend and backend engineers, AI research scientists, and talent from top academic programs and startups. Role Overview Speechify is looking for a Software Engineer focused on data infrastructure and acquisition to join the AI team. This engineer will oversee the collection of data used for model training, helping to build and maintain high-quality datasets at petabyte scale. The role bridges infrastructure, engineering, and research to ensure efficient data operations. Key Responsibilities Identify new sources of audio data and connect them to the ingestion pipeline. Manage and improve the cloud infrastructure supporting data ingestion, currently running on Google Cloud Platform (GCP) and managed with Terraform. Work with scientists to optimize cost, throughput, and data quality, enabling larger datasets at lower costs for next-generation models. Collaborate with the AI team and company leadership to shape the dataset roadmap for upcoming consumer and enterprise products. Qualifications BS, MS, or PhD in Computer Science or a related field. Minimum 5 years of professional software development experience. Strong skills in bash and Python scripting in Linux environments. Deep understanding of Docker and Infrastructure-as-Code, with hands-on experience in at least one major cloud platform (GCP preferred). Background with web crawlers and large-scale data processing is a plus. Comfort managing multiple priorities and responding to changing needs. Excellent written and spoken communication skills. Location This position is open to candidates in Charlotte, NC, USA.