We are looking for a hands-on Data Scientist to join our growing Data Science / Analytics team. The ideal candidate should have practical experience in data analysis, machine learning, statistical modeling, and solving real-world business problems using data-driven approaches.
Key Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and actionable insights.
- Perform data cleaning, preprocessing, and Exploratory Data Analysis (EDA).
- Develop and implement machine learning models for classification, regression, clustering, forecasting, NLP, and other use cases.
- Perform feature engineering and select appropriate algorithms based on business requirements.
- Evaluate and validate model performance using appropriate statistical and machine learning techniques.
- Work with Data Engineering teams to develop and maintain data pipelines.
- Collaborate with business and technical teams to understand requirements and develop data-driven solutions.
- Communicate findings and recommendations to technical and non-technical stakeholders.
- Monitor model performance and retrain or optimize models whenever required.
Required Skills
- 3–5 years of hands-on experience in Data Science, Machine Learning, Data Analytics, or a related field.
- Bachelor’s degree in any discipline. Candidates with strong relevant hands-on experience in Data Science, Machine Learning, or Analytics may also be considered.
- Strong proficiency in Python and/or R.
- Hands-on experience with Pandas, NumPy, and Scikit-learn.
- Good understanding of statistics, probability, and machine learning concepts.
- Good knowledge of SQL and databases.
- Experience with Power BI, Tableau, Matplotlib, or similar visualization tools.
- Familiarity with AWS, Azure, or GCP.
Preferred Skills
- Experience with Spark, Hadoop, or other Big Data technologies.
- Knowledge of MLOps and machine learning model deployment.
- Experience in NLP, Deep Learning, or Computer Vision.
- Knowledge of A/B testing and experimentation.
- Familiarity with Git/version control.
- Knowledge of TensorFlow or PyTorch.
Work Location: In person