Lead, mentor, and scale a global data engineering team while driving architecture, engineering standards, and delivery.
Design and build scalable data pipelines and models using GCP, BigQuery, Python, SQL, dbt, and Airflow.
Champion AI adoption across engineering workflows and partner with stakeholders to deliver data-driven solutions.
The company is building a modern data engineering foundation to power analytics and AI readiness on cloud data platforms. It fosters a people-focused, collaborative culture emphasizing trust, inclusion, and professional growth.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.
Build the measurement and monetization layer for first-party commerce data, from event modeling to sponsored placements.
Own the product end-to-end: write the spec, design the data model, and decide build-versus-rent.
Work directly with customers and commercial teams to turn observed shopper behavior into revenue they can prove.
Terrific builds the next generation of social commerce, helping brands and publishers turn content, creators, live experiences and AI into commerce they own. They are a global, distributed company with a culture that prizes ownership, directness, and AI-native ways of working.
Research, prototype, evaluate, and scale data-driven approaches to improve population health and healthcare delivery.
Collaborate with analytics, clinical, and strategy teams to translate complex healthcare data into actionable insights.
Apply statistical, epidemiologic, and data science techniques to evaluate programs and influence enterprise strategies.
The company leverages advanced analytics and research to improve healthcare delivery, population health, and medical cost outcomes. It fosters a multidisciplinary, collaborative environment with data scientists, clinicians, and strategy teams, though specific company size and culture are not disclosed.
Own the Salesforce Data 360 architecture including canonical data model, ingestion, identity resolution, and activation.
Design segmentation, calculated insights, Agentforce grounding, and privacy-by-design consent and retention.
Model consumption costs, govern data streams, and lead technical and executive stakeholders.
AspenView Technology Partners builds high-performing nearshore IT teams that help North American clients innovate faster. The company is a people-first, purpose-driven organization where great culture drives great outcomes.
Build production Agentforce agents including topics, actions, grounding, guardrails, and evaluation harnesses.
Implement actions across Flow, Apex, prompt templates, and external APIs, grounding answers in Data 360.
Design guardrails against prompt injection and data leakage, and run evaluation and regression tests before changes.
AspenView Technology Partners builds high-performing nearshore IT teams for North American clients, focusing on innovation and efficiency. They are a people-first, purpose-driven company that believes great culture drives great outcomes.
Ingest and harmonize data from CRM, ERP, warehouse, and event sources into Salesforce Data 360.
Design identity resolution rulesets and model data for Agentforce grounding with privacy by design.
Build SQL and Python transformation pipelines with observability, cost optimization, and lineage.
AspenView Technology Partners specializes in creating high-performing nearshore IT teams to help North American clients innovate faster and more efficiently. The company is people-first and purpose-driven, believing great culture drives great outcomes and providing meaningful career paths.
Serve as an expert on the Middle East and North Africa to improve AI models and data feeds.
Monitor feed quality, own projects, and make real-time decisions with incomplete data.
Collaborate across teams on region-specific training and AI tooling improvements.
Dataminr is an AI-powered intelligence platform that detects real-time events and threats from public data. Founded in 2009, the company serves a majority of the Fortune 50/100 and fosters a mission-driven culture focused on AI for social good.
Manage curriculum changes across databases, including course fees, prerequisites, class caps, titles, and descriptions.
Maintain class schedules, faculty assignments, and LMS syllabi and course outlines.
Pull daily data sets, run macros, and prepare reports to support data integrity and quality assurance.
Academy of Art University, founded in 1929, transforms aspiring students into professional artists and designers. It values innovation and high-caliber customer service, offering a dynamic environment for employees.
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.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, it is one of the largest US-based Microsoft solution partners and a multiple Microsoft Partner of the Year and Inc. Best Workplaces award winner.