Data Science/AI Manager - Design Cost Analytics

GDI&A

We are seeking an initiative-taking and experienced candidate to lead and mentor a multi-skilled product team comprising of data scientists, machine learning engineers, product designers, and software engineers through the entire lifecycle of complex analytical and AI/ML data science products. This role demands strong technical expertise, hands-on experience with cutting-edge analytical tools (including AI/ML), strong understanding of software craftmanship & software development cycle, thought leadership and ability to translate business needs into analytical formulations , and a proven track record of success in creating impactful and insightful data science products.

Ideal candidate for this role possesses a strong theoretical foundation in statistical analysis, machine learning, simulation, econometrics, optimization, data platforms, AI, and software design & development. Given the dynamic nature of data analytics and AI, a commitment to continuous learning, upskilling, and being hands-on is essential. This role requires a blend of technical expertise, hands-on experience, strategic thinking, business domain knowledge, thought leadership, and strong leadership skills.

Required:

• Masters degree (PhD preferred) in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field.

• hands-on experience

• 5+ years of leading a team of cross-functional technical experts.

• Proficiency in R and Python, along with experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn, XGBoost).

• Experience with cloud-based platforms (e.g., GCP) and data related technologies (e.g., SQL, Spark, Hive).

• Strong technical & people leadership, communication, and collaboration skills.

• Understanding of business principles and critical thinking skills to translate business needs into impactful data science solutions.

Preferred:

• Experience with NLP, deep learning, neural network architectures, computer vision, reliability, survival analysis and anomaly detection techniques.

• Familiarity with computationally intensive statistical methods, Jira, system architecture principles.

• Google certifications on developing and deploying AI/ML models on GCP.

• Experience with various software development methodologies (Agile, DevOps), CI/CD pipelines, and testing frameworks. Proficiency in one of AngularJS, ReactJS, or any other front-end technologies.

• Technical Leadership:

• Team Leadership & Mentorship

• Innovation

• Domain Expertise

• Communication

• GenAI Implementation

• Cross-functional Collaboration: