Jobs

Description

Key Responsibilities

• Design, develop, and deploy machine learning and statistical models for real-world business problems
• Analyze large, complex datasets to extract actionable insights
• Lead end-to-end data science projects—from problem definition to production deployment
• Build and optimize predictive models, recommendation systems, and NLP solutions
• Collaborate with data engineers to build scalable data pipelines
• Communicate findings and insights to stakeholders in a clear and compelling way
• Mentor junior data scientists and contribute to best practices
• Stay up-to-date with the latest advancements in AI/ML and data science

Required Skills & Qualifications

• Bachelor’s/Master’s/PhD in Computer Science, Data Science, Statistics, Mathematics, or related field
• Strong experience with Python or R
• Expertise in machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
• Solid understanding of statistics, probability, and data modeling
• Experience with SQL and working with large-scale databases
• Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, etc.)
• Experience deploying models into production environments
• Strong problem-solving and analytical skills

Preferred Qualifications

• Experience with big data technologies (Spark, Hadoop)
• Knowledge of cloud platforms (AWS, GCP, Azure)
• Experience with NLP, deep learning, or recommendation systems
• Familiarity with MLOps practices and tools
• Prior experience in [industry-specific domain, e.g., fintech, healthcare, e-commerce]

Soft Skills

• Strong communication and storytelling skills
• Ability to work in a fast-paced environment
• Leadership and mentoring capabilities
• Stakeholder management