Tiger Analytics

AI Engineer

• Define the Agentic AI architecture on Azure.
• Guide solution design and prototype.
• Own the end-to-end architecture for AI agents on Azure.
• Define reference architectures and best practices for Azure AI Foundry.
• Lead design of complex agentic AI use cases.
• Mentor and review work of AI/ML engineers implementing agents.
• Collaborate with enterprise architects, security, and data teams for compliance.
• Evaluate new Azure AI capabilities and frameworks.

Agentic AI Lead – Azure, Databricks

Data Scientist

• - Design, develop, and deploy **time-series forecasting models** including ARIMA, SARIMA, and ETS
• - Build **machine-learning-based forecasting models** using GBM, Random Forest, XGBoost, and LightGBM
• - Develop **hierarchical and multi-level forecasting** solutions across products, regions, and channels
• - Perform large-scale data extraction, transformation, and analysis using **SQL**
• - Implement and operationalize models in **cloud environments** (Azure preferred)
• - Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Senior Data Scientist – Demand Planning, Forecasting

Recruitment

• Manage end-to-end recruiting for the Tiger Analytics team in the US and Canada
• Source, screen, and schedule interviews with panel members and hiring managers
• Create and maintain a candidate pipeline for upcoming roles
• Maintain ATS system, collect feedback and calibrate the process
• Engage and attract talent from senior consultants to leadership positions
• Complete interview, offer, and negotiation stages in partnership with hiring managers
• Create partnerships with external recruiting firms and contractors

Lead Recruiter – Analytics

Manager

• Provide SME support in building manufacturing intelligence applications
• Advise on the integration of MES, historians (GE Predix / OSI Pi), and enterprise data platforms
• Enable use cases such as Predictive/Preventive Maintenance, Digital Twin, Production & Process Monitoring, and OEE
• Support development of real-time and near real-time shop-floor analytics

Manager, Senior Manager – Manufacturing Analytics SME

Data Engineer

• Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges.
• We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow.
• Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale.
• Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
• We are seeking Data Engineers who are passionate about marrying data with emerging technologies.

Senior Data Engineer

• - Own end-to-end account-level financial performance, including revenue, margins, growth, and identification of financial leakages.
• - Track, analyze, and govern key financial metrics to ensure sustained financial health, accuracy, and compliance.
• - Conduct multi-dimensional financial analysis across business towers, domains, service lines, and other revenue and margin segments.
• - Identify and proactively manage financial risks, trends, and growth opportunities impacting account profitability.
• - Lead Statement of Work (SoW) governance, ensuring financial accuracy, scope alignment, and commercial compliance.
• - Partner closely with delivery, sales, and finance teams to enforce commercial rigor and financial discipline across the account.
• - Support pricing strategy, forecasting, and margin optimization initiatives to drive sustainable profitability.
• - Prepare and present actionable financial insights and performance reports to senior leadership and client stakeholders.
• - Serve as the primary point of contact for all account-related financial and commercial discussions.

Manager, Senior Manager – Analytics Consulting, Commercial Excellence

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
• Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
• Strong problem-solving skills and attention to detail.

Lead Data Engineer

Pricing Analyst

• Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
• Work directly with client stakeholders to translate business problems into high-level analytics solution designs
• Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
• Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
• Experience in generating insights from reports and summarizing for brand teams
• You will be responsible for account management, client relationships, and account growth
• You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
• Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
• Experience working with all levels of management and consulting with key business stakeholders.
• Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
• Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
• You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth.
• You will be responsible for P&L for your account portfolios managing revenue and margin goals