Lead end-to-end data science projects leveraging Azure Machine Learning, Databricks, and Power BI to extract insights from large datasets.
Build predictive models and develop complex algorithms, applying statistical and machine learning methods to solve complex business problems.
Act as a subject matter expert, delivering actionable guidance to stakeholders and collaborating with cross-functional teams to drive continuous improvement.
Lead the architecture and delivery of complex data science and AI solutions on Azure, including machine learning, forecasting, and optimization.
Manage and mentor a Senior Data Scientist, providing technical oversight, coaching, and ensuring alignment to best practices.
Engage directly with clients to translate business problems into scalable, production-ready AI solutions while communicating technical concepts to non-technical stakeholders.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, the company has grown into one of the largest US-based Microsoft solution partners, with a culture that has earned them three-time Inc. Best Workplaces award.
Design and implement modern data platforms using Microsoft Fabric and Databricks, building performant ELT/ETL pipelines and scalable lakehouse architectures.
Develop complex Power BI data models and visually compelling reports that drive measurable client decisions, ensuring data quality and usability.
Work directly with client stakeholders to gather requirements, provide expert guidance, and build strong relationships as a trusted technical advisor.
Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. They are a fully remote team with a growth mindset and a focus on helping enterprises make better decisions.
Lead architecture for Microsoft Data & AI solutions, translating business needs into scalable, secure, and AI-ready architectures.
Define target-state architectures for data modernization, analytics, and AI using Microsoft Fabric, Azure Databricks, and related tools.
Provide technical leadership and client-facing advisory, supporting presales and implementation efforts.
TTEC Digital is an employee experience and customer experience (CX) consultancy that helps clients drive engagement and growth through innovative technology solutions. With 1,700+ employees, they are part of a larger 60,000+ person organization serving customers in over 80 countries, with a culture centered on diversity and inclusivity.
Design and implement data collection tools and pipelines using Python, SQL, or Azure Data Factory.
Analyze data patterns with advanced algorithms to deliver actionable insights and visualizations.
Present analytical outcomes to stakeholders and support predictive modeling for healthcare transformation.
Blue Water Thinking is a consulting firm supporting Federal clients with technology and business transformation. Founded by a decorated Army Veteran, the company emphasizes integrity, collaboration, and customer service.
Develop and maintain data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable, curated datasets.
Integrate new data sources, support financial reconciliation, P&L routines, and global closing processes, ensuring data consistency and accuracy.
Collaborate with multidisciplinary teams to deliver high-quality data solutions, support AI initiatives, and implement continuous improvements in data performance and quality.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, they collaborate to build solutions with real impact.
Lead the design and evolution of scalable data, analytics, and AI platforms for global customer operations.
Architect and optimize Databricks-based data pipelines and enterprise data platforms for unified intelligence.
Drive development of ML, NLP, Generative AI, and operational intelligence capabilities to improve customer experience.
Ticketmaster is the world's largest ticket marketplace, connecting fans to live events globally. As part of Live Nation Entertainment, they employ thousands worldwide and foster an inclusive culture driven by teamwork and integrity.
Design advanced analytics and predictive models within Databricks using Python, SQL, and Spark to identify revenue leakage and recovery opportunities.
Develop interactive Databricks dashboards and visualizations for operational and executive visibility into revenue-cycle performance.
Build detection logic for missing charges, coding errors, denied claims, underpayments, and aged receivables, and create recoverability scoring models.
LMI is a digital solutions provider accelerating government impact with innovation and speed, serving defense, space, healthcare, and energy sectors. Headquartered in Tysons, Virginia, the company delivers commercial-grade platforms and mission-ready AI to federal agencies.
Design, develop, and implement data science, statistical modeling, and machine learning solutions.
Analyze large, complex datasets to identify trends, patterns, and actionable insights.
Build dashboards and visualizations using Power BI and Tableau, and communicate findings to technical and non-technical audiences.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA, supporting public sector agencies and commercial enterprises globally. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.
Provide technical ownership for applied AI and data science initiatives across Sonatype, helping define approaches, architecture, priorities, and standards.
Lead complex AI projects from concept to production—translating ambiguous business and technical problems into measurable experiments and scalable solutions.
Act as a senior internal AI consultant to product, engineering, security, and research teams, helping identify high-value opportunities and advising teams on ML and GenAI approaches.
Sonatype is the software supply chain management company that invented componentized software development and pioneered the software supply chain category. Trusted by more than 2,000 organizations and over 15 million developers, we are committed to constant innovation using AI/ML.
Design, develop, validate, and evolve analytical and predictive models for pattern detection, anomaly identification, and risk classification.
Operationalize AI solutions for automation of recurring analyses, detection of deviations, and evaluation of large volumes of structured and unstructured data.
Participate in the full model lifecycle from data exploration to deployment, monitoring, and evolution in production environments.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they foster a culture of continuous learning and innovation.
Lead strategic data initiatives including advanced statistical analysis, machine learning modeling, and generative AI solutions.
Design and implement experimentation strategies (A/B testing, causal inference) to validate hypotheses and measure product impact.
Collaborate with multidisciplinary teams to translate business problems into actionable data solutions and communicate insights clearly.
CI&T is a global technology company that combines the disruptive power of artificial intelligence with human expertise to help large companies navigate technology and business changes. With 8,000 employees across more than 25 countries, they collaborate to build solutions with real impact.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Develop and maintain data pipelines for ingestion, transformation, and modeling using Microsoft Azure and Databricks.
Work with PySpark, Azure Data Lake Storage, and Delta Lake to build scalable and performant data solutions.
Collaborate in Agile/SCRUM teams to deliver end-to-end data engineering projects.
Expleo is a global engineering, technology and consulting service provider that helps clients innovate and future-proof their businesses. With a presence in 30 countries, they leverage a network of affiliates and partners to deliver comprehensive services across multiple sectors.
Design, develop, and maintain optimal data pipelines and workflows.
Provide technical guidance on architecture design and collaborate with Data Engineers for implementation.
Perform data integration, transformation, and cleaning to create actionable data for the business.
TREND Health Partners is a tech-enabled payment integrity company that facilitates collaboration between payers and providers to reduce waste and improve healthcare access. It is a dynamic, growing organization with a collaborative and innovative work environment.
Provide technical leadership to the Data Engineering team, guiding decisions and ensuring high-quality deliveries.
Design strategies for data ingestion, integration, and transformation from multiple sources; lead migration of data from SharePoint to SQL Server.
Define and implement Medallion Architecture, lead semantic models and Power BI solutions, and act as a bridge between business, architecture, and development teams.
CI&T helps large enterprises transform AI potential into real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With over 8,000 employees across 25+ countries and 30 years of experience, they combine human expertise and artificial intelligence to build scalable, high-impact technology solutions for global clients.
Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
Transform complex data into actionable insights, develop features and training datasets within Snowflake and dbt, and use Python and SQL for feature engineering and machine learning.
Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
The client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.
Lead the architecture of scalable, secure, and high-performance data solutions across the organization.
Own the technical direction of the enterprise data platform, ensuring alignment with business and technology objectives.
Architect end-to-end data solutions using Microsoft Fabric workloads, including OneLake, Lakehouse, and Warehouse.
This position is listed on behalf of a partner company, which manages all applications and next steps. The role offers the opportunity to shape and govern a modern enterprise data platform built around Microsoft Fabric and Azure.
Design and implement enterprise-grade lakehouse architectures using Databricks.
Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
Provide hands-on technical leadership and partner directly with enterprise clients to translate requirements into robust solutions.
Our partner is a consulting organization that specializes in enterprise-scale data, cloud, and AI transformation. They offer a fast-paced, high-impact environment with exposure to modern technology and enterprise clients.
Build and ship ML and GenAI systems from research to production.
Communicate technical concepts clearly to non-technical stakeholders.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Expel is a cybersecurity company that uses machine learning and generative AI to detect threats in customers' environments. They offer a small, highly transparent environment where your voice matters and decisions have direct impact.
Lead design and implementation of enterprise data pipelines within Microsoft Fabric.
Mentor data engineers and establish best practices for data engineering.
Ensure data platform security, availability, and performance requirements are met.
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. The company provides a creative and forward-thinking environment with growth opportunities and modern perks.