1. Collect, clean, and preprocess structured and unstructured data from various sources.
2. Conduct exploratory data analysis (EDA) to uncover trends, patterns, and relationships.
3. Develop statistical models and machine learning algorithms to solve business problems.
4. Support the implementation and validation of predictive models and improve their accuracy.
5. Generate insights through data visualization using tools like Matplotlib, Seaborn, Power BI, or Tableau.
6. Prepare reports and presentations to communicate findings to both technical and non-technical stakeholders.
7. Collaborate with cross-functional teams (engineering, product, business) to align data science solutions with business goals.
8. Stay updated on the latest trends, tools, and techniques in data science and machine learning.
Requirements:
1. Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
2. Strong programming skills in Python or R.
3. Familiarity with data manipulation libraries such as Pandas and NumPy.
4. Basic understanding of machine learning algorithms (e.g., regression, classification, clustering).
5. Experience with data visualization tools like Matplotlib, Seaborn, or other relevant libraries.
6. Knowledge of SQL for data extraction and querying.
7. Strong analytical thinking and problem-solving skills.
8. Ability to work independently and as part of a collaborative team.
9. Excellent communication skills to present findings and insights.
Skill(s) required
Data AnalyticsData ScienceDeep LearningMachine LearningNatural Language Processing (NLP)PythonSQL
Brandbuddiez Technologies Private Limited is a 3-year-old full-stack e-commerce company experiencing rapid growth. The company offers end-to-end D2C solutions and serves leading consumer durable brands. As part of its expansion, the company is venturing into digital consumer engagement and omnichannel business models to become a leader in the digital and conversational commerce space.