Early‑career data scientist working with AI/ML to build predictive models and generative AI solutions in a healthcare setting.
Compensation
The compensation for this role includes a base pay range of $65,000 - $85,000, with the actual pay determined by factors such as skills, experience, education, certifications, geographic location, and internal equity.
Responsibilities
Predictive modeling and machine learning
Develop, validate, and document predictive models
Perform exploratory data analysis, feature engineering, and model evaluation
Support deployment, monitoring, and retraining of models
Translate model results into clear findings, visualizations, and recommendations
Requirements
Bachelor's degree in data science, statistics, mathematics, computer science, engineering, or a related quantitative field; or 2 years of related experience; or an equivalent combination of education and experience
Early‑career data architect responsible for designing, documenting, and maintaining data structures that power analytics, reporting, and AI across the enterprise.
Compensation
The compensation for this role includes a base pay range of $65,000 - $85,000, with the actual pay determined by factors such as skills, experience, education, certifications, geographic location, and internal equity. Additional compensation may be available through shift differentials, bonuses, and other incentives.
Responsibilities
Design and maintain logical and physical data models
Support ingestion patterns and layered data structures within the enterprise lakehouse
Document schemas, table inventories, data dictionaries, and data lineage
Assist with naming standards, modeling conventions, and design guidelines
Review and optimize SQL and table structures for performance
Requirements
Bachelor's degree in computer science, information systems, data science, engineering, or a related field; or 2 years of related experience; or an equivalent combination of education and experience
Lead Market Risk Officer responsible for governance, oversight, and risk analysis across rates, treasury, and structured financing trading desks.
Compensation
$167,000.00 - $260,000.00
Responsibilities
Provide senior market risk coverage and independent challenge across trading desks
Utilize VaR, stress testing, and risk factor sensitivities to monitor and report exposures
Partner with front office and stakeholders to maintain risk mandate
Develop and enhance risk reporting
Engage with capital markets partners to support new products and initiatives
Requirements
Bachelor's degree or higher in Finance, Financial Engineering, Quantitative Finance, Mathematics, Physics, Engineering, or another quantitative discipline
Elaborar y liderar el plan de trabajo técnico para implementar, desplegar, capacitar y estabilizar proyectos y mejoras en GCP, con reporting en Power BI.
Diseñar arquitecturas de datos escalables y seguras en BigQuery, Cloud Storage, Dataflow, Dataproc, Composer y Pub/Sub.
Definir estándares de modelamiento, calidad, observabilidad, CI/CD e IaC; gestionar documentación, pruebas y control de versiones.
Interactuar con usuarios, científicos de datos e ingenieros para priorizar requerimientos, desbloquear dependencias y mentorizar al equipo.
Resolver issues productivos en GCP y Power BI, optimizando performance y costo, coordinando escalamiento con proveedores cuando aplique.
Requirements
Profesional universitario en Ingeniería de Sistemas, Ingeniería de Software o carreras afines
The Analytics Analyst applies descriptive and prescriptive analytics to generate actionable insights from large-scale healthcare transaction data.
Compensation
At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $95,300 - $116,500 per year.
Responsibilities
Execute analytics workstreams under guidance, including data extraction, cleaning, feature creation, exploratory analysis, and results validation.
Build and maintain recurring reporting and dashboards that communicate key trends, performance signals, and product/customer insights.
Translate business questions into analytic tasks (metrics definitions, cohorts, time windows, segmentation) with support from senior teammates.
Attend and participate in product discovery for new products, supporting senior teammates and stakeholders as requirements take shape.
Explore available data sets and document their contents; build basic charts and prototypes so stakeholders can confirm what they need before development begins.
Requirements
Bachelor’s degree in data science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field
The role focuses on Foreign Exchange & Exposure Management, cash management, deal funding, and operational reporting/process improvement within an investment management environment.
Responsibilities
Stage FX orders to raise cash and hedge currency risk, including FX spot, forwards, and options.
Monitor open FX positions, mark-to-market (MTM) valuations, and P&L impact.
Track exposure versus hedge coverage and identify over-hedged or under-hedged positions.
Prepare daily, weekly, and monthly FX exposure and hedge reports.
Identify, measure, and mitigate process risk, particularly related to FX risk.
Join a global engineering organization building AI-powered digital experiences used by millions of consumers worldwide, rebuilding the real-time event and consumer backbone.
Responsibilities
Design and build highly scalable cloud-native services, APIs, event streams, and data pipelines processing customer data and business events at global scale
Design and implement asynchronous messaging with Kafka and cloud-native equivalents (e.g., Azure Event Hub, Google Pub/Sub)
Design and maintain consumer analytics datasets, data models and transformation workflows via modern data platforms (e.g., dbt, Spark, Databricks) to support reporting, personalization and AI use cases
Collaborate with senior engineers and architects to design solutions across APIs, event streams, and distributed systems
Translate ambiguous business problems (working with product, data, and business teams) into scalable technical solutions
Develop and deliver scalable transformation frameworks across Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities.
Responsibilities
Design, develop, and maintain scalable data pipelines within the Enterprise Data Lake platform using Cloudera CDP, Hadoop, Spark, Hive, Java, Python, and SQL.
Develop high-performance batch and near real-time data ingestion frameworks for onboarding enterprise source systems into the Data Lake.
Develop complex transformation logic using Spark, HiveQL, SQL, and Java-based processing frameworks.
Design and implement data ingestion patterns supporting structured, semi-structured, and unstructured datasets.
Build and maintain batch and near real-time data integration solutions.
