Data Scientist - R/Python (2-6 yrs)

Job Description :

Position : Data Scientist

Experience : 2-6 Years

Job Type : Contractual

Location : Delhi/NCR

Key Responsibilities :

- Analyze large, complex datasets to extract insights and identify patterns.

- Build, test, and deploy machine learning models to solve business problems.

- Develop data-driven solutions by leveraging statistical, predictive modeling, and machine learning techniques.

- Collaborate with cross-functional teams, including business analysts, engineers, and domain experts, to understand requirements and deliver data solutions.

- Design and implement data pipelines to collect, clean, and process data for analysis and modeling.

- Create data visualizations and dashboards to communicate findings and insights to stakeholders effectively.

- Optimize and improve existing models, algorithms, and processes for better accuracy and efficiency.

- Stay updated with the latest trends and technologies in data science and analytics.

Required Skills :

- Strong proficiency in programming languages like Python, R, or Scala.

- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL.

- Solid understanding of statistical methods, data preprocessing, and feature engineering.

- Experience with data visualization tools like Tableau, Power BI, or Matplotlib.

- Familiarity with big data technologies like Hadoop, Spark, or similar is a plus.

- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is advantageous.

- Strong problem-solving skills and the ability to work in a fast-paced environment.

Educational Qualifications :

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

Other Requirements :

- Excellent communication and interpersonal skills.

- Ability to manage multiple tasks and deliver results within deadlines.

- Experience in handling real-world datasets and solving practical business challenges