| Data Scientist at Plano, Texas, USA |
| Email: [email protected] |
| Role: Data Scientist Location: Plano, TX - Hybrid Contract: 12+ Months Job Description: 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 largescale 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 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 Bachelors degree in Computer Science or related fields Master 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 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 scikitlearn 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. Its Great But Not Required If You Also Have. Experience working in a consumer or B2C space for a SaaS productsoftware provider. Experience in developing recommendation systems and deep learningbased models. Excel in solving ambiguous and complex problems being able to navigate through uncertain situations breaking down complex challenges into manageable components and developing innovative solutions Rahul REDDAIAH, INC. 140 Metro Park, Suite 7A,Rochester, NY, 14623 Email: [email protected] -- Keywords: machine learning information technology New York Texas Data Scientist [email protected] |
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| Wed Oct 09 02:21:00 UTC 2024 |