Senior Data Scientist
Tiger Analytics
6 - 10 years
Bengaluru, Chennai, Hyderabad
Posted: 23/06/2025
Job Description
- 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.
- 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.
About Company
Tiger Analytics is a global leader in data science and artificial intelligence (AI) consulting, specializing in delivering advanced analytics solutions to Fortune 1000 companies. Headquartered in Santa Clara, California, the company operates across North America, Europe, Asia-Pacific, and India. It offers end-to-end services in data engineering, machine learning, AI, and MLOps, helping organizations unlock value from their data to drive business impact. Serving industries such as retail, healthcare, BFSI, manufacturing, and pharma, Tiger Analytics is frequently recognized by Forrester, Gartner, and Analytics India Magazine as a top analytics firm. The company is also Great Place to Work-Certified™, reflecting its strong culture of innovation, collaboration, and excellence.
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