Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, and graph-based approaches (preferably with NetworkX) to solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, and graph-based approaches (preferably with NetworkX) to solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

DSI Systems Inc., an authorized AT&T partner and premier Dallas-based sales enablement company, is looking for a highly skilled and experienced DOMO Data Architect to join our growing data and analytics team. You'll be responsible for the design, development, implementation, maintenance, and ongoing administration of our Domo platform. This role requires a deep understanding of Domo's capabilities, best practices for data integration and visualization, and strong administrative skills to ensure optimal performance, security, and user experience. You'll also play a key role in collaborating with our external Domo consultants to enhance our platform's capabilities.

This is an in-office position that will report to our location in Richardson, Texas.

About DSI

Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency.

About the Role

We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries.

What We're Looking For

We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills.

What You'll Do

• Design and implement statistical models and machine learning algorithms to detect fraudulent patterns.
• Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications.
• Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals.
• Collaborate closely with engineering and product teams to bring data science solutions into production.
• Shape the intelligence layer of our platform by applying thoughtful experimentation and model evaluation techniques.

Requirements

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python, and ETL processes. In this role, you’ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.

Responsibilities

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team. You will play a critical part in driving innovatio and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Activities

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Safety. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Activities:

• Develop and maintain SAS programs for the reporting and analysis of clinical trial data.
• Collaborate with statisticians and clinical data managers to ensure statistical integrity of the results.
• Conduct exploratory statistical analyses and prepare summary statistics and tables as required.
• Create and validate datasets, ensuring accuracy and consistency across all outputs.
• Support ad-hoc requests for data analysis and create programming specifications.
• Participate in the development of programming practices and standards to improve efficiency and accuracy.
• Document work processes and ensure compliance with regulatory standards.
• Assist in the preparation of regulatory submissions as needed.

Requirements

About You

About the Job

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

We are looking for a Data Manager - Research to join our talented team and play a key role in managing clinical data for various research projects, ensuring high quality and consistency across all data collected.

Main Responsibilities:

Organize and improve data quality per rules set by Data Owner.

• Document data, metadata, lifecycle (catalog, contracts, process map)
• Apply data quality rules, automate, monitor flows/reporting
• Implement data integrity rules
• Ingest data to cloud platform (GCP), communicate with stakeholders
• Integrate new assets, Write data transfer specs; Perform quality controls
• Handle data access/migration/archiving
• Apply licensing terms for external data; Main contact for external data providers
• Harmonize/standardize/prepare data for analysis
• Share best practices with the DM community

Deliverables:

Why Join Us?

At Excelya, we are committed to excellence in healthcare, and we invite you to be part of our dedicated team where your expertise can make a significant impact.

As a young, ambitious health company with over 900 talented professionals, we strive to be Europe's leading mid-size CRO, delivering the best employee experience. Our integrated service model enables you to engage in diverse projects, working alongside industry experts to enhance scientific knowledge and improve the patient journey.

About the Job

We are seeking a Data Manager – CMC (Chemistry, Manufacturing, and Controls) to support our commitment to high-quality products. In this vital role, you will oversee and ensure the integrity of data generated. You will work closely with research and project teams to deliver actionable insights through rigorous data management practices.

Main Activities:

Organize and improve data quality per rules set by Data Owner.

Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions.

As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production.

The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems.

Requirements

Key Responsibilities: