
Data Science Engineer
- Pune, Maharashtra
- Permanent
- Full-time
- Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems.
- Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.
- Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions.
- Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement.
- Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.
- Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.
- Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.
- Develop and implement best practices in data management, data modeling, code, and data quality assurance.
- Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations.
- Bachelor's degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
- 3-5 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas.
- Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies.
- Strong programming skills in Python is a must.
- Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques.
- Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash.
- Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights.
- Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.
- Possession of relevant certification/s in data science from reputed universities specializing in AI.
- Prior experience in engineering would be nice to have.