Role Summary:
As a Data Scientist, you will be responsible for data collection, preprocessing, and analysis to develop models addressing business challenges. Utilizing data visualization techniques, you will represent information effectively, while also deciphering human behavior to identify pertinent data points. This role demands strong collaboration across diverse teams and serves as a focal point for stakeholders across various functions.
Key Responsibilities:
- Analyze and mine data to enhance operational efficiency and drive optimization.
- Utilize a data-driven approach with a focus on customer operations to identify improvement opportunities through in-depth analysis.
- Employ statistical programming languages like Python/R to extract insights from extensive datasets.
- Deploy predictive models to enhance utilization, revenue, and customer experience optimization.
- Develop models for logistics and supply chain optimization.
- Collaborate with different business verticals to implement new models and monitor outcomes effectively.
- Evaluate data effectiveness and assess data sources.
Key Requirements:
- 0-1 years of practical experience as a Data Scientist, engaging in real-world projects.
- Proficiency in Python programming and libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.
- Strong data visualization skills using tools like Matplotlib, Plotly, Folium, and Streamlit to convey insights from complex datasets effectively.
- Solid understanding of classical machine learning and deep learning algorithms.
- Experience with time series analysis and forecasting methods.
- Proficient understanding of statistical concepts and their application in data analysis.
- Knowledge of constraint optimization (OR-tools, Python-Pulp) is advantageous.
We Assure You:
- A welcoming culture where ideas and opinions are encouraged to be shared.
- A journey that will challenge and reward you in multiple dimensions.
More Information
- Experience 0-2 Years
