Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 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.

We are seeking a Data Scientist having good experience in building Models and advanced analytics solutions. The role involves leading client discussions, designing models around SEO and Paid Searches, and guiding cross-functional teams in delivering end-to-end data science projects.

Key Responsibilities:

Build and maintain predictive and optimization models for organic and paid search performance (CTR, CPC, conversion rate, ROAS)
Analyze keyword performance, bidding strategies, and content ranking to identify growth opportunities
Partner with marketing teams to design and evaluate A/B tests across campaigns
Develop dashboards and data pipelines integrating Google Ads, Google Search Console, Google Analytics, and SEO tools (Ahrefs, SEMrush, Moz)
Apply NLP techniques to analyze search queries, website content, and competitor landscape
Present actionable insights to marketing and leadership teams

Requirements

Bachelor's or Master's degree in Computer Science, Mathematics, or a related technical field
Strong knowledge of search algorithms, keyword dynamics, and ad auction systems
Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI, Looker)
Experience with APIs from Google Ads, Search Console, and other SEO/SEM platforms
Solid understanding of A/B testing, incrementality, and multi-touch attribution
Background in statistics, econometrics, or machine learning

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.