We are looking for a highly motivated and detail-oriented Data Scientist with 3+ years of experience to join our team on an urgent basis. The ideal candidate should possess strong hands-on expertise in Python and SQL, along with the ability to analyze complex datasets, build scalable machine learning models, and derive actionable business insights.
- You will play a key role in transforming raw data into meaningful information, supporting strategic decision-making, and driving data-driven initiatives across the organization.
Key Responsibilities :
- Analyze large and complex datasets to identify trends, patterns, and actionable insights
- Design, develop, test, and deploy machine learning models for real-world business problems
- Perform data cleaning, preprocessing, and feature engineering to improve model accuracy
- Write optimized and efficient SQL queries for data extraction, transformation, and analysis
- Work closely with cross-functional teams (Product, Engineering, Business) to understand requirements and deliver data solutions
- Build dashboards, reports, and visualizations to present insights to stakeholders
- Monitor, evaluate, and continuously improve model performance
- Stay updated with the latest advancements in data science, AI, and analytics
Mandatory Skills :
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, etc.)
- Solid experience in SQL (complex queries, joins, indexing, optimization)
- Good understanding of statistics, probability, and machine learning algorithms
- Hands-on experience with data visualization tools (Matplotlib, Seaborn, or similar)
- Experience working with structured and unstructured data
- Strong analytical and problem-solving skills
Eligibility Criteria (Important) :
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- 3 to 5 years of relevant experience in Data Science or Analytics roles
- Candidates must be available to join within Immediate to 15 days
- Prior experience in end-to-end model development and deployment is preferred
- Good communication skills with the ability to explain technical concepts to non-technical stakeholders
- Self-driven and capable of working independently in a remote environment