Mcafee Senior Data Scientist Pricing & Recommendations 

India 

124312219

About The Role:

• Ability to attend meetings and discussions during overlapping Pacific Standard Time (PST) hours (must-have).
• Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations.
• Develop, implement, and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products.
• Engineer and maintain large-scale consumer behavioral feature stores while ensuring scalability and performance.
• Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
• Collaborate with cross-functional teams (Marketing, Product, Sales) to ensure your solutions align with strategic objectives and deliver real-world impact.
• Create algorithms for optimizing consumer journeys and increasing conversion and monetization.
• Design, analyze, and troubleshoot controlled experiments (Causal A/B tests, Multivariate tests) to validate your solutions and measure their effectiveness.

About You:

• Master's Degree / Ph.D in Machine Learning, Statistics, Data Science or related quantitative fields preferred.
• 7 to 9 years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
• Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc.
• Experience with various ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
• Experience in building industry-standard recommender systems and pricing models.
• Expertise in MLOps, ML Engineering and Solution Design.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement