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The Associate Data Scientist will develop predictive models and machine learning solutions to enhance pricing strategies for Personal Auto and Home insurance lines. The role involves collaborating with cross-functional teams using Python, R, SQL, and AWS to transform large datasets into actionable business insights.
Designs and deploys AI/ML algorithms for processing geophysical sensor data (seismic, acoustic, hydro-acoustic, infrasound) to support U.S. Air Force missions, focusing on deep learning architectures and signal detection.
This Data Scientist role supports a FinCEN program in Washington, DC, by applying machine learning and statistical modeling to large-scale financial datasets to detect financial crimes. The position requires an active Top Secret/SCI clearance and proficiency in Python, R, SQL, and AWS cloud-native technologies.
Role & Experience: Data Analyst (4 to 6 YoE) Location - Bangalore Job Description Summary: Key Skills : Strong SQL, Python, Pyspark, Jupyter Notebook, Agile / Jira / Confluence, Microsoft Excel, Banking Domain…
Validates complex natural catastrophe models by designing test plans, analyzing large datasets, and ensuring model accuracy/reliability; collaborates with scientists, engineers, and software teams to improve model quality and decision-making.
Junior Software Engineer on an Application Support team, working with Java and Spring Boot to troubleshoot, maintain, and support business-critical enterprise applications.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce…
Builds data sets, data models, and clinical integrations for the RetinaOS product, working with retinal/ophthalmology images, EMR data, and computer vision pipelines in an AWS cloud environment.
The Staff Clinical Informatics Data Architect will design and oversee healthcare data architectures, focusing on data modeling, normalization, and integration using standards like FHIR and OMOP. The role involves leading data pipeline development and leveraging SQL, Python, and R to support AI-enabled precision health solutions.
Data Scientist on Workday's Deployment Technology team, analyzing deployment/migration product performance, building Tableau dashboards, prototyping predictive models in Jupyter, and identifying AI/ML automation opportunities using SQL, statistics, and data warehousing.
The Master Data Analyst manages article creation and maintenance processes to ensure data integrity across retail operations. The role involves collaborating with internal teams, performing data cleansing, and generating reports using tools like SAP and Microsoft Office.
The Data Scientist will analyze large construction datasets using Python, R, and machine learning to provide actionable business insights. They will build predictive models, create dashboards in Power BI, and collaborate with project teams to support data-driven decision-making.
Develops and maintains the software stack for on-robot systems, from low-level sensor interfaces to cloud integration, using C++ and Linux in a fast-paced robotics company.
Leads complex research projects on Alaska’s correctional population, designing SQL/Python analyses to inform policy and resource decisions while ensuring data integrity in offender management systems.
Sr. Solutions Engineer integrating and deploying Selector's AI/ML operational intelligence platform for digital infrastructure. Hands-on role involving pre-sales, POCs, and customer enablement using Python, Go, Ansible, Docker, Kubernetes, and public clouds.
Lead Data Scientist providing thought leadership in applying data science techniques to improve executive decision-making and enterprise capability for complex systems development at a professional services firm focused on MBSE and digital transformation.
Designs and develops a proprietary Big Data Analytics platform, builds data/analytics solutions for clients, and engineers software components with a focus on scalable infrastructure and ML models.
The DevOps Engineer will support a complex cloud-based computing platform by managing infrastructure, system operations, and deployment automation for the data science community. The role requires expertise in Linux, container orchestration, and CI/CD pipelines within a secure environment.
Build and maintain data pipelines and infrastructure for Morgan Stanley's AI platforms, primarily using Snowflake, Databricks, and Python in a hybrid Glasgow office.
Onsite Data Scientist in Chantilly, VA turning complex data into actionable insights using Tableau, Python, SQL, and Excel, supporting intelligence community missions with a TS/SCI Full Scope Polygraph.
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