Senior or Lead Data Scientist
2 weeks ago
NP : Immediate to 15 Days
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. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
Financial Times, Economic Times and Analytics India Magazine
As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. 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., Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.
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.
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
~ Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL
~ Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.
~ 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. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.
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