- projects for multiple business functions.
- Identify and frame the data science opportunity from understanding the business problem / opportunity.
- Gather, cleanse, and transform internal and external data.
- Analyze data and deliver insights via visualizations and dashboards.
- Create predictive models, productionize, and maintain machine learning models that address business problems.
- Present, explain and defend results from analysis and modeling, and approach taken.
- Participate in strategic planning discussions around data science and big data.
The successful candidate will meet the following qualifications:-
- 5+ years of practical experience framing and solving data science problems.
- 5+ years of hands on experience with applied statistics and/or machine learning .
- 5+ years of experience solving problems with Python, pandas, scikit-learn.
- 3+ years of experience with TensorFlow, PyTorch or other deep learning technologies.
- 3+ years of experience developing visualizations with Python viz, Spotfire or Power BI.
- 3+ years of experience applying descriptive and inferential statistics to real world problems.
- 3+ years of experience with software source control, software architecture and design, data structures and algorithms.
- Professional experience with Transformers, Embeddings, fine tuning Large Language Models (LLMs), Retrieval Augmented Generation (RAG) is a plus.
- Professional experience with analysis and modeling of multivariate time series data is a plus.
- Professional experience with generative AI is a plus.
- Professional experience building recommender systems is a plus.
- Ability to adapt in a rapidly changing environment.
- Ability to communicate insights and approaches in a simple, actionable manner.
- Ability to work independently and with team members from different backgrounds.
- Excellent attention to detail and problem-solving skills