Job Title: ML Data Scientist
Location: Plano TX (Hybrid)
Job Type: Contract
Skills
Machine Learning-Python
Job Description
Role Overview
In this role you will help drive personalized experiences for customers as an ML Engineer monitoring pipelines batch and on-demand job types to improve Pricing Recommendations
Are you passionate about harnessing the power of data to drive impactful business decisions We are seeking an ML Engineer 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.
About The Role
Ability to attend meetings and discussions during overlapping XXXX Standard Time XST hours must have
ML acumen to conceptualize design and implement state-of-the-art ML models for dynamic pricing strategies and personalized product recommendations
Strong grasp of understanding difference between data pipelines and ML pipelines
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 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 in 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 AB tests Multivariate tests to validate your solutions and measure their effectiveness
Agile development mindset appreciating the benefit of constant iteration and improvement
Focus on business practicality and the 8020 rule very high bar for output quality but recognize the business benefit of having something now vs perfection sometime in the future
About You
Bachelor's degree in Computer Science or related fields Master's or PhD in Machine Learning Statistics Data Science or related quantitative fields preferred
5 years of experience in one or more of the following areas of machine learning engineering 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 Spark Hive and Big Data technologies sci-kit learn Keras TensorFlow PyTorch PySpark etc
Experience In Databricks Is Preferred
Experience with various ML techniques and frameworks eg data discretization normalization sampling linear regression decision trees deep neural networks etc
Experience in building industry-standard recommender systems and pricing models
Experience in MLOps ML Engineering and Solution Design
It's Great But Not Required If You Also Have
Experience working in a consumer or B2C space for a SaaS product software provider
Experience in developing recommendation systems and deep learning-based models
Excel at solving ambiguous and complex problems being able to navigating through uncertain situations breaking down complex challenges into manageable components and developing innovative solutions