About the job
Our client is seeking bright and ambitious Graduate Data Scientists to join their rapidly growing analytics division. This is an exceptional opportunity for recent graduates with a strong foundation in statistics, programming, and machine learning to kick-start their careers. You will work alongside experienced data scientists, contributing to impactful projects that drive business insights and innovation. This hybrid role allows for collaborative work in our **Chandigarh, Chandigarh, IN** office combined with the flexibility of remote work days. Responsibilities: - Assist in collecting, cleaning, and preprocessing large datasets from various sources. - Perform exploratory data analysis to identify trends, patterns, and anomalies. - Develop and implement statistical models and machine learning algorithms to solve business problems. - Collaborate with senior data scientists to build, train, and evaluate predictive models. - Visualize data and model results using tools like Python libraries (Matplotlib, Seaborn) or R. - Contribute to the design and execution of A/B tests and other experimental designs. - Document methodologies, findings, and model performance. - Stay updated with the latest advancements in data science, machine learning, and artificial intelligence. - Support the deployment and monitoring of machine learning models in production environments. - Present findings and recommendations to technical and non-technical stakeholders. Qualifications: - Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. - Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering, time series). - Proficiency in programming languages such as Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Experience with SQL for data extraction and manipulation. - Familiarity with data visualization techniques and tools. - Strong analytical and problem-solving skills with a keen eye for detail. - Excellent communication and teamwork abilities. - Eagerness to learn and adapt to new technologies and methodologies. - Previous internship or project experience in data analysis or machine learning is a plus. - Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous. This program is designed to provide extensive training and mentorship, enabling you to grow into a key contributor. You will gain invaluable experience working on real-world challenges, applying cutting-edge techniques to deliver data-driven solutions. This hybrid position offers the best of both worlds, balancing in-office collaboration with remote flexibility.
Requirements
- Statistics
- Programming
- Machine Learning
- Data Analysis
- Python
- R
- SQL
Qualifications
- Bachelor's Degree
- Master's Degree
Preferred Technologies
- Statistics
- Programming
- Machine Learning
- Data Analysis
- Python
- R
- SQL
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