Enterprise Solutions, Inc.
https://www.enterprisesolutioninc.com/wp-content/uploads/2020/07/Enterprise-Logo-web.png
https://www.enterprisesolutioninc.com
https://www.enterprisesolutioninc.com
USD
60
65
HOUR
true
ML Generalist Full Stack Pricing Recommendations
Remote
Role Overview
In this role you will help drive personalized experiences for customers as a ML Generalist Pricing Recommendations
Are you passionate about harnessing the power of data to drive impactful business decisions customer is seeking a ML Generalist to play a pivotal role in shaping the future of our consumer journey through cuttingedge 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 musthave
Full Stack ML acumen to conceptualize design and implement stateoftheart 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
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 crossfunctional teams Marketing Product Sales to ensure your solutions align with strategic objectives and deliver realworld 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
Masters Degree PhD in Machine Learning Statistics Data Science or related quantitative fields preferred
3 to 5 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
Proficiency in using casual inference uplift modeling splines support vector machines lookalike modeling model stacking ensembles embeddingbased modeling etc
Proficient in Python SQL intermediate data engineering skill set with tools libraries or frameworks such as PySpark Hadoop Hive and Big Data technologies scikitlearn pandas numpy PyTorch etc
Experience with various ML techniques and frameworks eg data discretization normalization sampling linear regression decision trees deep neural networks etc
Experience in building industrystandard 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
Skills
Machine Learning-Python
ML Engineer
Mississauga, ON L4T 0A1 Canada
Posted: 08/26/2024
2024-08-26
2024-10-07
Job Number: z5G7h3l6a1kMvyS65NP3c1b7NMDPW_X9ZIHD1xSS3yY=
Pay Rate: 60-65 Hourly CAD
Job Description
ML Generalist Full Stack Pricing Recommendations
Remote
Role Overview
In this role you will help drive personalized experiences for customers as a ML Generalist Pricing Recommendations
Are you passionate about harnessing the power of data to drive impactful business decisions customer is seeking a ML Generalist to play a pivotal role in shaping the future of our consumer journey through cuttingedge 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 musthave
Full Stack ML acumen to conceptualize design and implement stateoftheart 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
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 crossfunctional teams Marketing Product Sales to ensure your solutions align with strategic objectives and deliver realworld 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
Masters Degree PhD in Machine Learning Statistics Data Science or related quantitative fields preferred
3 to 5 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
Proficiency in using casual inference uplift modeling splines support vector machines lookalike modeling model stacking ensembles embeddingbased modeling etc
Proficient in Python SQL intermediate data engineering skill set with tools libraries or frameworks such as PySpark Hadoop Hive and Big Data technologies scikitlearn pandas numpy PyTorch etc
Experience with various ML techniques and frameworks eg data discretization normalization sampling linear regression decision trees deep neural networks etc
Experience in building industrystandard 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
Skills
Machine Learning-Python
Meet Your Recruiter
Share This Job:
Related Jobs:
Login to save this search and get notified of similar positions.About Mississauga, ON
Discover your next career opportunity in the vibrant area around Mississauga, Ontario! With its proximity to Toronto and the picturesque shores of Lake Ontario, this region offers a perfect balance of urban excitement and natural beauty. From the iconic CN Tower to the multicultural culinary scene at Celebration Square, there is something for everyone here. Explore job openings in industries spanning from finance to tech, and consider joining the thriving workforce of this dynamic area. Embrace the charm of Mississauga with its renowned art galleries like the Art Gallery of Mississauga, catch a show at the Living Arts Centre, or enjoy a game at the Paramount Fine Foods Centre. Start your journey towards a fulfilling career in Mississauga today!