Job Title: Data Scientist
Location: Hyderabad (Hybrid, Remote)
Job Type: Full-time
Experience Level: 3-6 Years
Responsibilities:
Data Analysis and Modelling:
- Utilize statistical and machine learning techniques to analyse large datasets and derive actionable insights.
- Develop predictive models and algorithms to address business challenges and improve decision-making processes.
Feature Engineering and Data Preprocessing:
- Work with raw data to perform data cleaning, transformation, and feature engineering to prepare datasets for analysis.
- Collaborate with cross-functional teams to gather and understand data requirements.
Model Deployment and Monitoring:
- Implement and deploy machine learning models into production environments.
- Monitor model performance and make necessary adjustments to ensure continued accuracy and relevance.
Collaboration and Communication:
- Collaborate with data engineers, analysts, and business stakeholders to understand their requirements and provide data-driven solutions.
- Communicate complex findings and insights in a clear and understandable manner to both technical and non-technical stakeholders.
Continuous Learning and Research:
- Stay abreast of industry trends and advancements in data science and machine learning.
- Continuously enhance skills through training and self-directed learning.
Requirements:
Education and Experience:
- Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
- years of proven experience as a Data Scientist.
Technical Skills:
- Proficient in programming languages such as Python or R.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong knowledge of statistical analysis and data visualization tools.
Problem-Solving:
- Ability to translate business problems into analytical frameworks and develop data-driven solutions.
Communication Skills:
- Strong interpersonal and communication skills with the ability to explain complex concepts to non-technical stakeholders.
Team Collaboration:
- Demonstrated ability to work effectively in a collaborative team environment.
