Senior / Lead Data Scientist

6 months ago

Hyderabad, India Tiger Analytics Full time

Job Description

Job Title: Senior / Lead Data Scientist India Locations: Chennai | Hyderabad | Bangalore Tiger Analytics is a global leader in AI and analytics, helping Fortune companies solve their toughest challenges. 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. Come work with us to provide certainty to shape a better tomorrow. We are a Great Place to Work-Certified™ (-24) and have been consistently ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc. style="">
About the role: As a Senior Data Scientist, you will work on a broad range of cutting-edge data analytics and machine learning problems across various 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 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. Desired Skills and Experience: 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 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.

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