Data Scientist
Job Summary: We are looking for a Senior Data Scientist with 5+ years of strong predictive modeling experience using machine learning techniques with a minimum of 2+ years of experience leading a team of data scientists in building predictive models to address challenging business problems. The ideal candidate will have direct, hands-on experience and is experienced leading a team of data scientists in data wrangling, data visualization, statistical analysis and building predictive, machine learning models using supervised, unsupervised, and semi-supervised techniques
Work you’ll do
A Data Scientist will be expected to work within product development teams in a scrum environment. This person will be responsible for design and development of AI/ML predictive models, which serve as the cornerstone of new products that will help to address key business issues for our clients.
Key Responsibilities:
- Understand the business use case, conduct preliminary analysis and propose potential solutions using statistical and predictive modeling techniques to solve the client’s problems.
- Perform feasibility analysis of proposed solutions through data exploration and building proof of concept predictive models.
- Build advanced analytical and predictive models using large volumes of structured, semi-structured and chaotic data.
- Conduct research and pull data from disparate data sources and prepare data prior to building models on a variety of use cases.
- Apply analytical reasoning to solve multiple challenges such as data imbalance, overfitting, etc. to improve model performance. Investigate model outcomes using feature importance to interpret models. Share findings with team for technical review and feedback.
- Work in a highly collaborative atmosphere with data scientists and team leaders from different geographic locations.
- Share model methodology and outcomes with project leadership and senior management for technical review and feedback.
- Update your knowledge base with AI/ML advances.
Required Qualifications:
- Strong quantitative and analytical skills with a fundamental understanding of Statistical and Machine Learning algorithms.
- Strong programming skills in Python and SQL.
- Strong problem-solving skills with emphasis on predictive modeling at the individual level.
- Strong understanding of algorithmic bias and implications is preferred
- Strong understanding of gradient boosting, logistic regression and other classification algorithms.
- Experience in explainable AI.
- Ability to manage multiple projects at a time.
- Strong communication and critical thinking skills.
Preferred Qualifications:
- Experience with building and deploying models in any of the cloud services is appreciated
- Hands-on experience with prompt engineering and other GenAI or LLM-based applications like RAG, etc.