Job Title
Data Scientist
(in Yrs)
7+ Years
Must Have Technical/Functional Skills
Python, SQL , Regression Models , MLOPs, scikit-learn, TensorFlow, PyTorch , Good Communication and Analytical Ability
Experience Required
10+
Roles & Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
- Develop, validate, and deploy predictive models and machine learning algorithms.
- Write efficient SQL queries to extract, manipulate, and analyze data from various databases.
- Collaborate with business stakeholders to understand their requirements and translate them into analytical solutions.
- Present findings and insights to stakeholders through clear and compelling data visualizations and reports.
- Continuously explore and experiment with new data sources, tools, and techniques to improve analytical capabilities.
- Think creatively to develop innovative solutions for complex business problems.
- Work closely with data engineers to ensure data quality, integrity, and availability.
- Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
- Stay updated with the latest advancements in data science, machine learning, and analytics.
- Strong proficiency in SQL for data extraction, manipulation, and analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Proficiency in programming languages such as Python or R.
- Strong analytical and problem-solving skills, with the ability to think creatively and "out of the box."
- Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Excellent communication and interpersonal skills, with the ability to present complex findings in a clear and concise manner.
- Ability to work effectively both independently and as part of a team.