Data science techniques, Machine learning techniques, Microsoft-Excel, Python Programming, SQL, Statistical modeling
Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce.
We’re Great Place to Work-Certified. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.
Curious about the role? What your typical day would look like?
As a Lead Data Scientist, you will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries; Seamlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project.
On a typical day, you might
What do we expect?
You are important to us, let’s stay connected!
Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.
We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Ticking most of the boxes but not all? is still fine. Apply anyway as we have good space to learn and grow.
Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 500 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
Toronto, Ontario, Canada
2-4 year