Role
Data Scientist
About the Job
We are looking for an experienced Data Scientist with a strong foundation in Machine Learning and Deep Learning knowledge and expertise in Python and SQL to join our growing data team. You will be responsible for developing data-driven solutions to solve business problems, building predictive models, and delivering actionable insights. This role requires analytical thinking, business acumen, and hands-on technical skills.
- Collaborate with cross-functional teams (Product, Engineering, Marketing, etc.) to understand business requirements and identify data opportunities
- Extract, clean, and analyze large volumes of data using Python and SQL
- Build and deploy machine learning models to support key business initiatives (e.g., classification, forecasting, recommendation systems)
- Perform statistical analysis and A/B testing to measure the impact of features and changes
- Communicate findings clearly to stakeholders through dashboards, reports, and visualizations
- Continuously improve data pipelines, feature engineering, and model accuracy
- Ensure data quality and integrity across systems
Desired Profile
- Experience in both real time and batch pipelines for AIML based solutions
- Proficiency in Python (pandas, scikit-learn, numpy, matplotlib/seaborn, etc.)
- Strong SQL skills, with experience in writing complex queries and optimizing performance
- Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP)
- Experience with data wrangling, feature engineering, and model evaluation
- Proficient in using AI coding assistants (e.g., ChatGPT, Copilot) to accelerate data analysis, machine learning, pipeline automation, and rapid prototyping across tools like PySpark, pandas, and TensorFlow.
- Skilled at translating natural language into code for data science tasks, with attention to ethical considerations and validation of AI-generated code.
- Ability to explain complex technical topics to non-technical stakeholders.
Technical skills
- Experience with cloud platforms (e.g., AWS, GCP, Azure)
- Familiarity with tools like Airflow, or Docker
- Experience with version control (Git) and collaborative coding
- Hands-on experience with LLMs, prompt engineering, or RAG
Work Experience
- 4+ years of hands-on experience in a data science or machine learning role with demonstrated history of delivering high impact solutions
Educational Qualification
Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field
Seniority level
Employment type
Job function
Industries
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