Develop and implement analytics applications using data-oriented programming languages and visualization software to transform raw data into meaningful information.
Build and evaluate Marketing ML models using First & Third Party Customer Data, and create end-to-end projects including analysis design, execution, and summarization.
Collaborate with data engineering and operations teams to productionize work and automate processes for recurring analyses and model building.
Build scalable Python-based data pipelines and backend services for analytics workflows.
Design software systems using object-oriented programming and sound engineering practices.
Create and support platforms for analytics development, model training, and model deployment.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide across markets like financial services, healthcare, and automotive. With a team of 25,200 people in 32 countries, Experian invests in advanced technologies and its people to unlock the power of data.
Design and maintain data pipelines and auto-labeling systems to support ML model training from multimodal data.
Write and optimize SQL queries for data extraction, analysis, and ingestion from various sources.
Develop and prototype learning-based models using a data-centric approach with techniques like active learning and fine-tuning.
Serve Robotics is reimagining urban delivery with sidewalk robots, aiming to reduce congestion and support local businesses. The team is an agile, diverse group of tech industry veterans focused on robotics, machine learning, and end-to-end user experience.
Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.
DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.
Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
Lead workspace architecture, Unity Catalog governance, and cluster policy design for client tenant organizations.
Perform tenant discovery, requirements gathering, source profiling, and security classification for new data intake requests.
Develop end-to-end technical designs for tenant onboarding, including Data Sharing Agreements and SLA documentation.
M9 Solutions provides IT services and solutions to the Federal Government, mobilizing skilled people and technologies for improved performance and sustainable change. With 15+ years of proven delivery and growth, the company has been recognized as an Inc. 5000 Fastest-Growing Private Company multiple times and values diverse perspectives.
Develop tools and applications in Python for data processing, analysis, and forecasting.
Design and optimize Python/Snowflake-based data pipelines for ingesting, cleaning, and transforming data.
Collaborate with global technical and analyst teams to gather requirements and build innovative analytical solutions.
IDC provides trusted technology intelligence for business and technology leaders. With over 1,000 analysts globally, the company fosters a culture of rigor, integrity, and shared success.
Transform business questions into structured analysis and design compelling visual stories using BI tools.
Build low-latency data pipelines, streaming analytics, and automated queries for SaaS-embedded analytics.
Prepare curated datasets for ML training, support feature stores, and enable AI-driven dashboards.
Trustonic makes smartphones affordable by enabling device financing through secure locking technology. They partner with mobile carriers and retailers across 30+ countries, and prioritize diversity, inclusion, and flexible working.
Independently manage data quality end-to-end and resolve complex issues across data pipelines and sources.
Improve category classification and product attribution while collaborating with cross-functional partners.
Serve as a trusted resource for clients and internal stakeholders, communicating complex problems in simple terms.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points to uncover actionable insights. The company has raised $475M from The Carlyle Group, valued at over $1B, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
Leverage test-driven development to deliver backend systems and user interfaces for healthcare data integration.
Design, implement, and maintain data models, ETL processes, and APIs for performance and scalability.
Contribute to automated testing suites and optimize data operations for integrity and security.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. With a collaborative, remote-first culture, the team is focused on improving public health outcomes through service design and skilled engineering.
Conduct data analysis, infrastructure, and visualization to identify and track audiences for public education campaigns.
Build and maintain data visualizations for data exploration and trend analysis using Tableau and PowerBI.
Provide technical guidance and coordinate project tasks across teams to exceed client expectations.
Fors Marsh is a team of researchers, strategists, and communicators working together to drive lasting change. The company is a certified B Corporation and a Top Workplace for 7 consecutive years.
Design, develop, and maintain ETL data engineering processes using Python (PySpark) and Azure Synapse Analytics.
Apply expertise in data warehousing to create effective data storage structures in a Massively Parallel Processing SQL Pool.
Collaborate with cross-functional teams to understand data requirements and provide support for data-related initiatives.
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
Design features, build tools, and deploy models in production environments to improve performance and stability.
Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.
Analyze raw data from various sources and develop datasets, schemas, and models to improve data quality and efficiency.
Document data flows and mappings, and collaborate with data analysts, scientists, and other stakeholders.
Build reports and data dictionaries through SharePoint, and advise on updated reporting to capture and format data for other departments.
KACE leverages data-powered insights to develop strategies and technology-enabled solutions that accelerate mission success. The company is certified as a Great Place to Work, fostering an inclusive, supportive culture with talented professionals passionate about making a difference.
Analyze data to design solutions supporting critical business objectives.
Build and maintain reusable datasets, dashboards, and models.
Ensure data quality through documentation and clear data lineage.
Liberty Mutual is a diversified global insurer that helps people protect and insure their assets. As a large company with a focus on inclusion and professional development, it fosters a culture where every employee can do their best work.
Design and improve graph-based approaches for identity resolution across devices, households, and identifiers to improve match quality, coverage, and stability.
Use Scala, Spark, SQL, and cloud-native tools to analyze large identity datasets, build models, and productionize data science workflows.
Leverage LLMs, AI editors, and agentic workflows to accelerate research, prototyping, documentation, testing, and iteration.
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile, transforming Connected TV into a direct-response performance marketing channel. The company was named one of Ad Age's Best Places To Work in 2025 and one of Fast Company's Most Innovative Companies in 2023, with a culture defined by trust, ambition, quality, and compassionate leadership.
Design and deliver scalable, low-latency streaming data solutions for real-time customer analytics.
Analyze business needs, optimize data models, and write clean code using Scala, Python, and SQL.
Mentor team members and optimize performance of data platforms like AWS Kinesis, Kafka, and Redshift.
Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide, unifying voice, SMS, WhatsApp, and AI. The company is a unicorn backed by world-class investors, with 45+ nationalities and a strong, collaborative culture.
Lead data initiatives using machine learning and AI to optimize ad delivery and platform performance.
Design, build, and maintain scalable AWS data pipelines for ML tooling and high-velocity ad systems.
Productionize forecasting and optimization models with robust backtesting, monitoring, and guardrail systems.
AdsByNimbus is a leader in Publisher-first mobile AdTech. The team is lean, highly capable, and deeply collaborative, offering high levels of project ownership and autonomy.
Apply advanced statistical analysis, data mining, and machine learning techniques to complex engineering datasets.
Develop data pipelines, automation systems, and scalable infrastructure for real-time and batch processing.
Collaborate with research teams and external partners to drive innovation and scientific impact.
The Accelerator at Princeton includes a portfolio of multiple planned independent and intersecting tools. It is part of Princeton University, an equal opportunity employer with a mission of advancing scientific research and fostering collaboration.
Drive data science initiatives with ML models for predictive maintenance, anomaly detection, and root cause analysis in manufacturing.
Build scalable cloud data pipelines for high-volume IoT data using Spark, Kafka, Airflow, and Delta Lake.
Apply statistical methods (time series, regression, clustering) and design experiments to validate process changes and quantify business impact.
Nagarro is a Digital Product Engineering company that builds products, services, and experiences. With over 17,000 experts across 39 countries, they foster a dynamic, non-hierarchical work culture and are scaling rapidly.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.