Senior Data Scientist

Job Description

Drive creative and innovative data science, machine learning, and AI applications to achieve impactful results. Stay informed about industry, market, and company trends, collaborating with business leaders to promote the adoption of new data, analytic approaches, techniques, and capabilities. Extract and transform data for exploratory analysis, feature engineering, modeling, and visualization. Design, build, and iterate on models. Construct, monitor, and maintain recommendation systems. Write efficient code, deploy on cloud platforms, and conduct A/B testing of models and algorithms. Perform data validation and quality checks before modeling. Implement model monitoring and drift detection post-deployment. Present and demonstrate prototypes and concepts to customers, clients, and leadership. Develop deep expertise in Switchfly’s data and external data sources. Identify data and analytic tool gaps by collaborating with other teams and business partners, and recommend corrective actions.

Qualifications

1. 5+ years of professional experience as a data scientist, with expertise in building, evaluating, deploying, and monitoring machine learning models, including deep learning. 2. Relevant technical degree (preferably advanced) in Computer Science, Machine Learning, Applied Mathematics, Statistics, Operations Research, or a related field. 3. Advanced competency in Python and experience using open-source frameworks such as Scikit-learn, TensorFlow, Keras, and PyTorch. 4. Strong SQL and ETL experience.

Benefits

- Professional success requires thinking big and dreaming big. - We are nimble and forward-thinking, building the future by challenging ourselves and demanding daily improvement. - Commitment to customers isn’t optional; it’s part of our DNA. - Our culture of learning is powered by an iterative mindset, a shared desire for high performance, and a willingness to take risks and push through limits. - We're looking for team members in India who share this mindset and are excited to make a meaningful impact.