Design, develop, and deploy machine learning models to solve complex business problems in the AdTech domain
Analyze large datasets to generate actionable insights and improve product performance
Build and maintain scalable data pipelines using big data tools and frameworks
Sigma Software brings together talented professionals to deliver high-load, data-driven platforms for global clients. They value expertise, listen to their employees' voices, and empower career growth.
Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery
Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
ServiceNow is a global market leader that brings innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference
Shape long-term architectural direction, technology stack, and engineering best practices
Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. They have over 85 health plans, including many of the top 20, and representing more than 270 million lives; they bring together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise.
Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way
Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives
Design, develop and deploy efficient data pipeline for both structured and unstructured data
Resultant consists of a team of engineers, mathematicians, data analysts, project managers, and business consultants. They partner with clients in the public and private sectors to help them overcome complex challenges, empowering clients to drive meaningful change.
Leverage prototyping methodologies to propose and design creative business solutions.
Work in Spark Scala, Python and Pandas in an AWS Infrastructure.
Educate and inform business partners on architecture, capabilities, best practices and solutions to build out future enhancements.
NBCUniversal is a leading global media and entertainment company that creates and distributes world-class content across film, television, and streaming. With a rich history, they are committed to improving communities and championing an inclusive culture.
Design, launch, and analyze experiments to optimize ad campaigns.
Build reporting and analytics tools for the Data Science Team's customers.
TvScientific is the first and only CTV advertising platform purpose-built for performance marketers. They leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes.
Architect, build, and operate data infrastructure that powers Tebra’s intelligent features.
Translate business requirements into software solutions that accelerate our ability to deploy AI.
Monitor data pipelines, detect anomalies, and implement automated recovery systems.
Tebra unites Kareo and PatientPop, providing a digital backbone for practice well-being, supporting both products with a shared vision for modernized care. Over 100,000 providers trust Tebra to elevate patient experience and grow their practice, building the future of well-being with compassion and humanity.
Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Developing and enhancing the Redbox integrated data layer across Measurement, Audience, Optimization, and Insights.
Partnering with clients, account leadership, strategy, planning, and Redbox team leads to develop best-in-class Artificial Intelligence strategies and solutions.
Ensuring key Redbox data infrastructure is resilient and future-proofed.
Crossmedia is a global media independent committed to doing media and business the right way via TRUST, REASON and the pursuit of HAPPINESS. Crossmedia US was founded in NY in 2000 and is one of the largest minority-owned full-service media planning & buying agencies in the nation with 500+ Crossmedians worldwide.
Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.
Own data strategy and execution for a portfolio of client deliverables within new sectors.
Serve as a subject-matter expert for emerging sector data, partnering with GTMl teams on client conversations.
Investigate and resolve data quality issues and implementing scalable fixes.
YipitData is a market research and analytics firm for the disruptive economy. They analyze billions of alternative data points to uncover actionable insights across sectors. YipitData operates globally with offices in the US and APAC and has a people-centric culture.
Build and scale distributed data pipelines for large-scale time series, log data, and high-volume event streams.
Design and maintain reliable, high-performance Spark and Python workflows to support model training datasets.
Analyze and resolve performance bottlenecks related to latency, memory utilization, data skew, and throughput.
ItD blends diversity, innovation, and integrity with real business results as a consulting and software development company. Their structure rejects any strong hierarchy, empowering them to deliver excellent results as a woman- and minority-led firm.
Design and implement robust data infrastructure in AWS, using Spark with Scala
Evolve our core data pipelines to efficiently scale for our massive growth
Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
tvScientific is the first CTV advertising platform purpose-built for performance marketers. They leverage data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. tvScientific is built by industry leaders with history in programmatic advertising, digital media, and ad verification.
Partner with Product, Engineering, and Analytics teams to deliver new initiatives.
Develop frameworks, tools, and workflows that enhance efficiency and scalability.
Boulevard provides a client experience platform for appointment-based, self-care businesses. They empower customers to give their clients more of the magical moments that matter most and are built for the broader self-care industry, including many types of salons, spas, and more.
Build, improve, and maintain production-grade data science models.
Enhance the accuracy, robustness, and scalability of MMM pipelines.
Design and implement optimization algorithms within our data products.
Northbeam is building an advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data. It is experiencing rapid growth with a team of driven, collaborative, and talented individuals who value personal growth and excellence.
Collaborate with cross-functional teams and business units to understand and communicate Ion’s needs and goals.
Develop, improve, and maintain robust data pipelines for extracting and transforming data from log files and event streams.
Design models and algorithms to derive insights and metrics from large datasets.
Intuitive is a global leader in robotic-assisted surgery and minimally invasive care. Their technologies, like the da Vinci surgical system and Ion, have transformed how care is delivered for millions of patients worldwide. They are a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human.
Lead the end-to-end data architecture, designing and implementing data pipelines, warehouses, and lakes that handle petabyte-scale datasets.
Collaborate with product teams to enable data-driven decision-making across the organization.
Establish best practices for data quality, governance, and security while mentoring senior engineers and conducting technical reviews.
Cority is a global enterprise EHS software provider creating industry-leading technology. They have been around for over 35 years and are known for strong employee culture and client satisfaction.
Play a Sr.tech lead & architect role to build world-class data solutions and applications that power crucial business decisions throughout the organization.
Enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture.
Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations.
At Atlassian, they're motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet and their solutions are designed for all types of work. They ensure that their products and culture continue to incorporate everyone's perspectives and experience, and never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Build a scalable, reliable, operable and performant big data workflow platform.
Drive the usage of Freight's data model across the organization with multiple product teams.
Drive efficiency and reliability improvements through design and automation.
Uber Freight is an enterprise technology company powering intelligent logistics with end-to-end logistics applications, managed services, and an expansive carrier network. Today, the company manages nearly $20B of freight, has one of the largest networks of carriers and is backed by best-in-class investors.
Design, build, and operate ETL pipelines at scale.
Design data structure for data products.
Develop and operate API/tools related to data products and machine learning products.
Mercari is a company that provides a marketplace platform. They value teamwork and provide career growth opportunities as the company continues to expand.