As a Lead Data Scientist with a focus on Generative Artificial Intelligence (GenAI), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement. You will lead efforts to leverage GenAI techniques to solve complex challenges, transitioning the next generation of IT services away from traditional dashboards and filters into an interactive, conversational experience backed by real-time streaming data analysis.

The Impact You Will Create

You will not just be building models; you will be reshaping how users interact with technology. Your work will directly result in:

• Massive Scale: Building a state-of-the-art conversational servicebot designed to scale seamlessly across 1 million+ Monthly Active Users (MAU).
• Next-Gen User Experience: Serving real-time insights to customers through a cutting-edge conversational UI/UX that processes millions of streaming data points.
• Advanced Automation: Developing production-grade AI/ML solutions to solve complex Text2Action problems and analyzing time-series data to detect anomalous behavior instantly.

Roles & Responsibilities

• Strategic Collaboration: Partner closely with product and business teams to deeply understand challenges and opportunities within the GenAI landscape, ensuring data science initiatives align with core organizational objectives.
• Intelligent System Design: Conceptualize, experiment, and design intelligent systems powered by GenAI, applying your deep expertise in machine learning, statistics, and advanced mathematics.
• End-to-End ML Pipelines: Take full ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and continuous feedback integration.
• ML/AI Architecture: Collaborate with ML Engineers to design highly scalable systems and model architectures that enable low-latency, real-time ML/AI services.
• Big Data Processing: Build and develop efficient systems capable of ingesting and processing vast volumes of streaming data.
• Metric Definition: Define and monitor key performance metrics that accurately reflect the tangible value delivered to end-users through our GenAI solutions.

Role Overview

We are seeking a highly motivated and detail-oriented Senior Tax Analyst to support US indirect tax compliance, audit, and reporting activities. This role will play a critical part in managing sales & use tax compliance, month-end close processes, and supporting tax audits, while collaborating closely with global tax, finance, and accounting teams.

Key Responsibilities

1. US Indirect Tax Compliance

• Prepare and review US sales and use tax returns (monthly/quarterly/annual) across multiple jurisdictions
• Manage tax data extraction, reconciliation, and validation from ERP systems
• Ensure timely and accurate filing of returns and payments
• Maintain tax calendars and compliance trackers
• Support reconciliation of tax accounts and variance analysis

2. Month-End / Book Close Support

• Perform month-end accruals and journal entries related to indirect taxes
• Reconcile tax-related GL accounts (sales tax payable, accruals, etc.)
• Support financial reporting and ensure compliance with accounting policies
• Partner with accounting teams during close cycles to resolve discrepancies

3. Tax Audits & Notices

• Support US state and local tax audits, including data gathering, documentation, and responses
• Track audit progress and maintain audit logs
• Assist in responding to tax authority notices, queries, and assessments
• Collaborate with external advisors where required

4. Process Improvement & Automation

• Identify opportunities to streamline compliance processes and improve controls
• Support implementation or enhancement of tax technology tools (e.g., OneSource, Avalara, Alteryx, Claude etc.)
• Develop and maintain SOPs and process documentation

• Develop and execute sales strategies to achieve revenue and profitability targets.
• Identify and acquire new clients across hotels, restaurants, resorts, and hospitality groups.
• Build and maintain strong relationships with key customers and industry partners.
• Lead negotiations, prepare commercial proposals, and close business deals.
• Manage and grow existing accounts through upselling and cross-selling opportunities.
• Monitor sales performance, pipeline, forecasts, and market trends.
• Lead, coach, and motivate the sales team to achieve targets.
• Collaborate with operations, marketing, and finance teams to ensure seamless customer delivery.
• Represent the company at industry events, trade shows, and networking opportunities.
• Prepare regular sales reports and business reviews for senior management.