Lead complex AI/ML initiatives, design, develop, evaluate, and operationalize enterprise AI solutions, mentor junior data scientists, and collaborate across engineering and product teams.
Responsibilities
Design and develop AI/ML solutions for enterprise applications
Evaluate and operationalize models, including RAG and fine-tuning
Lead experimentation and MLOps pipelines
Mentor junior and mid-level data scientists
Collaborate with AI Engineering, Platform Engineering, and product teams
Requirements
Bachelor’s degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or related field
Support the design and implementation of Intelligent Document Processing (IDP) and AI/ML solutions across claims, including data preparation, model development, and evaluation frameworks.
Responsibilities
Collaborate with business customers and engineers to translate business problems into technical solutions and deliver automated document extraction and data enrichment solutions.
Manipulate data using Python and SQL Server; develop ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
Manually label and validate training datasets.
Use AI technologies such as natural language processing to extract business data from unstructured and semi-structured sources.
Create technical documentation to archive end-to-end processes.
Requirements
Bachelor’s degree in data science, analytics, statistics, actuarial science, mathematics, engineering or similar quantitative fields; or significant experience in data analytics
As a Data Scientist on the deployment & platform side of the team, you’ll be at the forefront helping us to usher in the next wave of disruption by using the latest technology to deploy, optimize and modernize model pipelines and execution platforms that enable machine learning models to provide powerful insights about our portfolio and growth opportunities through new data sources.
Compensation
McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science
Responsibilities
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Requirements
Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
MBA with a quantitative concentration
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics)
Ingénieur(e) Systèmes Linux responsable de la maintenance, administration et support des infrastructures clients Linux, y compris la gestion de la disponibilité, la rédaction de documentation opérationnelle et la résolution d’incidents.
Responsibilities
Maintenir et administrer les infrastructures clients Linux
Gérer la disponibilité des infrastructures clients
Administrez des composants Linux en environnement virtualisé ou on‑premise
Assurer le support pour les environnements Linux et réaliser les opérations courantes et de maintenance
Rédiger et maintenir la documentation opérationnelle
Lead the organization’s reporting, visualizations, data mining, and analysis to inform decision-making across the company, including the Houston Rockets, Houston Comets and Toyota Center.
Responsibilities
Create and implement data display and distribution
Consult with departments and executive team on in-depth analysis
Partner with SVP of Performance Marketing & Business Intelligence on revenue strategy
Lead business processes including sales forecasting, lead scoring, market penetration and predictive modelling
Oversee data visualization strategy and maintain user-friendly library
Requirements
Bachelor’s degree in data science, Business Analytics, Computer Science, Engineering, Information Systems, Statistics, Economics, or a related field
Lead the architecture, design, and development of solutions in GoodLeap’s Funding domain, blending hands‑on development with strategic decision‑making.
Responsibilities
Lead the design and delivery of large‑scale, mission‑critical software applications
Architect highly scalable, responsive, and secure solutions
Provide technical leadership across teams
Collaborate with user experience designers, product managers, and engineers
Data Scientist focused on machine learning, recommendation systems, and agentic AI for Glance’s personalized lock screen and live entertainment experiences.
Responsibilities
Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.
Requirements
Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
The Manager, Data Modeling & Data Science will drive strategic business impact through advanced analytics and predictive modeling, serving as a trusted advisor to clients across multiple vertical portfolios.
Compensation
The hourly pay range for this position is $65.79 - $87.77. The hourly pay rate for the successful candidate is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Responsibilities
Ensure timely delivery of data, analytics, and models to support the client’s data licenses, database marketing initiatives, and campaigns
Developing and/or editing R code, Python code for model builds, scoring and delivery
Provide direction and manage the work processes and output of database marketing analysts
Participate in creating relevant solutions for clients by evaluating client needs for quantitative analysis and in developing methods or processes for implementation
Leverage knowledge, and hands on work, of data and statistical modeling techniques to provide suggestions or guidance to teams using tools like Snowflake/SQL/Python/R
Requirements
Bachelor’s degree in Statistics, Math, Economics or related scientific/quantitative field
Design, develop, and maintain core insurance applications, adopting AI-enabled capabilities to improve automation and decision-making.
Compensation
our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
Responsibilities
Design, develop, test, and maintain core insurance applications (PL/SQL, SQL, Oracle Forms and Reports) and integrations, including SOAP/RESTful web services
Analyze business and system requirements and translate them into technical specifications and application designs
Support the adoption of AI-enabled features in core insurance applications
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