Data Scientist - Python/R
First seen by Alion on Sep 17, 2026.
Key Responsibilities:
- Data Analysis and Interpretation: Analyzing complex datasets to extract meaningful insights and trends.
- Model Development: Building and refining predictive models using machine learning algorithms.
- Data Cleaning and Preprocessing: Ensuring data quality by cleaning and preprocessing raw data.
- Collaboration: Working closely with cross-functional teams, including engineers, product managers, and business analysts, to understand requirements and deliver data-driven solutions.
- Reporting and Visualization: Creating reports and visualizations to communicate findings to stakeholders.
- Communication: Present findings and recommendations to CS and/or clients in a clear, concise, and impactful manner.
- Insights and Recommendation: Provide strategic and tactical recommendations to clients based on data insights.
- Research and Innovation: Staying updated with the latest industry trends and technologies to improve existing models and processes.
- Mentorship: Guiding junior data scientists and providing technical support.
Key Qualities:
- Analytical Thinking: Ability to break down complex problems and analyze data to find solutions.
- Technical Proficiency: Strong skills in programming languages like Python or R, and familiarity with machine learning frameworks.
- Attention to Detail: Precision in data analysis and model development to ensure accuracy.
- Communication Skills: Ability to clearly convey technical information to non-technical stakeholders.
- Curiosity and Innovation: A drive to explore new techniques and technologies to improve data processes.
- Problem-Solving: Aptitude for identifying issues and developing effective solutions.
- Team Collaboration: Working well with others and contributing to team goals.
- Adaptability: Flexibility to handle changing project requirements and new challenges.
Qualifications:
- Proven experience of 3 to 5 years in a data science or related role with hands-on experience with data analysis, model development, and deployment.
- Proficiency in Python, R, SQL, and other relevant languages.
- Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
- Has a bachelors degree in a related field (e.g., Business, Economics, Statistics, Computer Science).
- Adept in presentation and communication skills.
Skills
Data Science, Python, R, SQL, Data Scientist, Tensorflow, Machine Learning, Artificial Intelligence