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Senior Analyst - Data Science (Regression)

The Senior Analyst - Data Science (Regression) will work on cutting-edge data analytics and machine learning problems across various industries. Responsibilities include engaging with clients, translating business problems into analytical structures, developing algorithms, conducting quantitative analyses, and collaborating with multiple teams.

About the role

About Tiger Analytics

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.

About the Role

As a Senior Analyst - Data Science, you will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries.

Responsibilities

Engage with clients to understand their business context
Translate business problems into analytical structures and can be solved using statistical/ML techniques
Develop and enhance algorithms and models to solve a business problem.
Conduct quantitative analyses and interpret results
Maintaining all models along with development and updating of code and process documentation
Interact and collaborate with multiple teams (Consulting & Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.

Requirements

2+ years of relevant Data Science experience.
A passion for writing high-quality code (Python) and the code should be modular, scalable, and free of bugs.
Comprehensive knowledge of SQL with experience in office skills (Excel & PowerPoint)
Enthuse to collaborate with various stakeholders across the organization.
Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.
Understanding the foundational concepts and algorithms in machine learning is crucial. This includes regression and classification algorithms, their assumptions, strengths, and limitations.
Working knowledge of basic Optimization Techniques would be counted as an added advantage.

Must Have Skills:

Regression
Python

Good to have:

Customer Analytics or Marketing Analytics