Data Scientist
SourcingXPress
Website: Visit Website
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Business Type: Startup
Company Type: Product
Business Model: B2B
Funding Stage: Pre-seed
Industry: Information Technology
Salary Range: ₹ 3-6 Lacs PA
Job Description
We are looking for a Data Scientist with strong expertise in Python, statistics, and machine learning to join our team. The ideal candidate will be passionate about working with data, building machine learning models, uncovering meaningful insights, and solving complex business and product problems through data-driven approaches.
Key Responsibilities
- Collect, clean, process, and analyze both structured and unstructured data.
- Perform Exploratory Data Analysis (EDA) to identify meaningful patterns, trends, and insights.
- Build, train, evaluate, and optimize machine learning and statistical models.
- Develop data pipelines and prepare high-quality datasets for analytics and machine learning use cases.
- Perform data preprocessing and feature engineering to improve model performance.
- Evaluate model accuracy, performance, and efficiency and continuously identify opportunities for improvement.
- Apply statistical and analytical techniques to support product and business decisions.
- Create meaningful data visualizations, dashboards, and reports to communicate insights effectively.
- Collaborate with engineering, product, and other cross-functional teams to solve data-driven problems.
- Work with large datasets and ensure data quality, consistency, and reliability.
- Write clean, maintainable, efficient, and well-documented code.
- Stay up to date with the latest developments in Machine Learning, Data Science, Artificial Intelligence, and related technologies.
- Strong proficiency in Python.
- Good understanding of Data Structures and Algorithms (DSA).
- Strong understanding of Statistics and Probability.
- Solid knowledge of Machine Learning fundamentals.
- Hands-on experience with Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.
- Understanding of data preprocessing, feature engineering, model evaluation, and validation.
- Basic knowledge of SQL and relational databases.
- Strong analytical, logical reasoning, and problem-solving skills.
- Ability to work with and analyze large datasets.
- Good debugging and troubleshooting skills.
- Strong attention to data quality and accuracy.
- Exposure to Deep Learning and frameworks such as PyTorch or TensorFlow.
- Familiarity with NLP, Computer Vision, or Generative AI.
- Understanding of time-series data and forecasting.
- Experience working with APIs or backend systems
- Familiarity with cloud platforms such as AWS or GCP.
- Projects, internships, or academic work involving ML/AI or data science.
- Exposure to Deep Learning and frameworks such as PyTorch or TensorFlow.
- Familiarity with NLP, Computer Vision, or Generative AI.
- Understanding of time-series data and forecasting techniques.
- Experience working with APIs or backend systems.
- Familiarity with cloud platforms such as AWS or GCP.
- Experience through ML/AI projects, internships, research, or academic work.