Senior Data Scientist

Who we are

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine

Curious about the role? What your typical day would look like?

As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve:

• Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
• Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.
• Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.
• Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
• Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.
• Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
• Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.
• Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.

What do we expect?

• 6-10 years of total DS and model development experience
• A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role
• Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
• Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL
• Experience in 

  Time Series Forecasting

• Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems
• Encourage collaboration with various stakeholders and take complete ownership of deliverables.
• Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.
• Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations
• Effective mentoring of a team with expertise in industry/domain/functional areas.