San Francisco, CA

eCommerce Principal Data Scientist

Talener

Our client is a large multinational Global Company, this Job is with the Global eCommerce Team which prides itself on having the entrepreneurial, action-oriented culture of an exciting startup business. Our group includes startup founders, Silicon Valley veterans, food & beverage experts, and seasoned executives from digital transformation leaders such as Amazon and Walmart. Our goal is to build the technological products and capabilities that will reinvent our industry and make us the #1 food & beverage business in eCommerce for decades to come.



Job Title: eCommerce Principal Data Scientist / Data Science Manager


Location: 100% Remote


As a Data Science Manager, you will play a critical role in shaping and executing the global ecommerce growth agenda. You will be tasked with identifying, designing, and implementing data science/machine learning solutions to business problems. You will lead a team in collaboration with the larger data science and analytics group to create a robust, shared codebase on which we will build automated eCommerce systems. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.

Responsibilities

  • Lead a team within the larger eCommerce organization to analyze large data sets and develop custom models/algorithms to uncover trends, patterns and insights
  • Establish standards for writing clean, organized machine learning code to streamline machine learning workflow within the Data Science team
  • Provide critical thought leadership to enhance organizational capabilities by utilizing a variety of data sets; work with business stakeholders to identify and execute on opportunities for enhancement
  • Partner with other analytics leaders within the organization to foster enhanced analytical capabilities globally


Qualifications / Requirements: 

  • Master’s Degree in Data Science or equivalent experience
  • Minimum 5 years of relevant work experience
  • Strong statistical intuition and scientific acumen
  • Experience designing and developing machine learning solutions using a variety of data sources
  • Expertise customizing Modern ML systems, including NLP, Deep RL, and/or Graph Neural Networks 
  • Experience and functional familiarity with software development and data engineering best practices
  • Expertise designing custom deep learning systems using TensorFlow or Pytorch
  • Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions
  • Demonstrated ability to communicate with both business and technical audiences effectively and concisely


Compensation:

  • Target Salary $200,000 + & will be based on experience
  • Generous bonus plan ($50,000-$60,000)
  • Full Benefit plan including medical dental, vision, and disability 


Please email Brian at [email protected] for more information or to apply.


#LI-REMOTE

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Our goal is to build the technological products and capabilities that will reinvent our industry and make us the #1 food &amp; beverage business in eCommerce for decades to come.</span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><br></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><br></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><strong><span style="color: black;">Job Title:&nbsp;</span></strong><span style="color: black; background: white;">eCommerce Principal Data Scientist / Data Science Manager</span></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><br></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><strong><span style="color: black;">Location:&nbsp;100% Remote</span></strong></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><br></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:7.5pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><span style="color: black;">As a Data Science Manager, you will play a critical role in shaping and executing the global ecommerce growth agenda. You will be tasked with identifying, designing, and implementing data science/machine learning solutions to business problems. You will lead a team in collaboration with the larger data science and analytics group to create a robust, shared codebase on which we will build automated eCommerce systems. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.<br><br></span></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:7.5pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><strong><span style="color: black;">Responsibilities</span></strong></span></span></p><ul style="margin-bottom:0in;" type="disc"><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Lead a team within the larger eCommerce organization to analyze large data sets and develop custom models/algorithms to uncover trends, patterns and insights</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Establish standards for writing clean, organized machine learning code to streamline machine learning workflow within the Data Science team</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Provide critical thought leadership to enhance organizational capabilities by utilizing a variety of data sets; work with business stakeholders to identify and execute on opportunities for enhancement</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Partner with other analytics leaders within the organization to foster enhanced analytical capabilities globally</span></span></li></ul><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><br></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><strong><span style="color: black;">Qualifications / Requirements:&nbsp;</span></strong></span></span></p><ul style="margin-bottom:0in;" type="disc"><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Master&rsquo;s Degree in Data Science or equivalent experience</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Minimum 5 years of relevant work experience</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Strong statistical intuition and scientific acumen</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Experience designing and developing machine learning solutions using a variety of data sources</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Expertise customizing Modern ML systems, including NLP, Deep RL, and/or Graph Neural Networks&nbsp;</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Experience and functional familiarity with software development and data engineering best practices</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Expertise designing custom deep learning systems using TensorFlow or Pytorch</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Demonstrated ability to communicate with both business and technical audiences effectively and concisely</span></span></li></ul><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><br></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><strong><span style="color: black;">Compensation:</span></strong></span></span></p><ul style="margin-bottom:0in;" type="disc"><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Target Salary $200,000&nbsp;+&nbsp;&amp; will be based on&nbsp;experience</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Generous bonus plan&nbsp;($50,000-$60,000)</span></span></li><li style='margin-top:0in;margin-right:0in;margin-bottom:8.0pt;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;">Full Benefit plan including medical dental, vision, and disability&nbsp;</span></span></li></ul><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><br></span></span></p><p style='margin-top:0in;margin-right:0in;margin-bottom:0in;margin-left:0in;font-size:15px;font-family:"Calibri",sans-serif;background:white;'><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><span style="color: black;">Please email Brian at [email protected] for more information or to apply.</span></span></span></p><p style="margin: 0in; font-size: 15px; font-family: Calibri, sans-serif; background: white;"><span style="font-family: Tahoma,Geneva,sans-serif;"><span style="font-size: 14px;"><br></span></span></p><p style="margin: 0in; font-size: 15px; font-family: Calibri, sans-serif; background: white;"><span style="font-size: 14px; font-family: Tahoma, Geneva, sans-serif; color: black;">#LI-REMOTE</span></p>”,”employmentType”:”FULL_TIME”,”hiringOrganization”:{“@type”:”Organization”,”name”:”Talener”},”jobLocation”:{“@type”:”Place”,”address”:{“@type”:”PostalAddress”,”streetAddress”:null,”addressLocality”:”San Francisco”,”addressRegion”:”CA”,”postalCode”:null,”addressCountry”:null}},”title”:”eCommerce Principal Data Scientist”,”url”:”https://talener.com/jobs/?cjobid=BS20042079&rpid=590508&postid=cjuMv1y2Inw”,”identifier”:{“@type”:”PropertyValue”,”name”:”Talener”,”value”:null}}

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