Role Overview:
We are looking for a Data Scientist who can turn data into actionable insights and build scalable machine learning solutions. You will work closely with business stakeholders, data engineers, and developers to solve real-world problems.
Key Responsibilities:
1) Analyze large datasets to extract meaningful insights and business recommendations
2) Build, train, and deploy machine learning models
3) Perform data cleaning, preprocessing, and feature engineering
4) Work on predictive modeling, statistical analysis, and experimentation
5) Collaborate with cross-functional teams to understand business requirements
6) Communicate findings through visualizations and reports
7) Optimize models for performance and scalability
8) Stay updated with latest trends in AI/ML and data science
Required Skills & Qualifications:
1) 2-5 years of hands-on experience in Data Science or Machine Learning
2) Strong proficiency in Python and SQL
3) Experience with machine learning algorithms (regression, classification, clustering)
4) Good understanding of statistics (probability, hypothesis testing, A/B testing)
5) Experience in data cleaning, preprocessing, and feature engineering
6) Hands-on experience with libraries such as Pandas, NumPy, Scikit-learn
7) Experience in data visualization tools like Matplotlib, Seaborn, Power BI, or Tableau
8) Familiarity with version control tools like Git
9) Understanding of cloud platforms (AWS, Azure, or GCP) is a plus
10) Knowledge of model deployment and APIs is an advantage
11) Strong problem-solving and analytical skills
12) Good communication and teamwork abilities
Preferred Qualifications:
1) Exposure to NLP, time-series analysis, or recommendation systems
2) Experience working in an Agile/Scrum environment
3) Understanding of CI/CD pipelines
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