Data Scientist
McAfee Inc
Contract Plano , Texas, United States Posted 1 month ago
About Position
Data Scientist (Contract)
$60.00 / Hourly
Plano , Texas, United States
Data Scientist
Contract Plano , Texas, United States Posted 1 month ago
Skills
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.Description
Are you passionate about harnessing the power of data to drive impactful business decisions? McAfee is seeking a Senior Data Scientist to play a pivotal role in shaping the future of our consumer journey through cutting-edge Machine Learning (ML) solutions for pricing and recommendations. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized experiences and optimize value.
Responsibilities
- 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.
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