Lead Data Scientist - Deep Learning

San Francisco, California
US$165000 - US$185000 per year + Competitive Benefits

This vacancy has now expired. Please see similar roles below...

Lead Data Scientist - Deep Learning
San Francisco Bay Area
$165,000 - $185,000 + Competitive Benefits

The Company

Harnham is working with an e-commerce marketplace that is revolutionizing how high-end goods are delivered to consumers. This company has a remarkable global presence and continues to expand its establishment to new places, with the most-coveted consume goods - It's your chance to work on automating their marketplace!

You will be working with a diverse team of specialists - from fellow data scientists and engineers to consumer experts in the e-commerce market - to optimize and streamline their logistic process. The role you will face involves a profound engagement with deep learning to develop their automated approach to getting the right product to their customer base. The company we are working with is excited to bring on people from diverse backgrounds and are passionate to providing the best consumer experience.

The people you will work for care about what you have to say - they foster an environment of ownership and support to grow within the organization. This organization is making the luxury economy more accessible and sustainable - and this is your chance to join a team that spares no expense on good talent!

The Role

You will:

  • Lead a team of diverse individuals to take on projects designed to improve on a personalized user experience
  • Develop high-end image analytics in a machine learning framework
  • Collaborate with inquisitive and bright individuals like yourself to manage and streamline production
  • Perform high-level analysis of social media data, using innovative machine learning and NLP techniques
  • Communicate with organizational leaders across different verticals to deliver on data-driven goals

Skills and Expertise

You have:

  • Dedicated knowledge in deep learning for image processing and the ability to produce object-oriented solutions to logistical strategy
  • Expertise in python, implementing machine learning techniques using python libraries, like TensorFlow
  • Huge plus! - Key point detection with deep learning experience (KCNN), at a production level
  • Exceptional communication skills - you can effortlessly relate insight to a team of engineers, business operations personnel, and an overseas data lake team!

Benefits

$165,000 - $185,000 + Competitive Benefits

*My client can sponsor employment authorization/visa! *

How to Apply

Please register your interest by sending your CV to Karla Guerra at Harnham via the Apply link on this page.

For more information this role or other Data Science opportunities, please contact Karla Guerra at Harnham.

KEYWORDS
Python, R, Machine Learning, Deep Learning, Image Analytics, Computer Graphics, Big Data, AI, Artificial Intelligence, KCNN, Java, Image Processing, Hadoop, Spark, AWS, SQL, Modeling, Algorithm, Social Media, Social Analytics, Content Analysis, Sentiment Analysis, Data Scientist, Data Science, Scikit-learn, TensorFlow, PyTorch, Keras, Classification, Clustering, Extraction

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52338
San Francisco, California
US$165000 - US$185000 per year + Competitive Benefits

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Harnham blog & news

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Visit our Blogs & News portal or check out our recent posts below.

A Data Engineer is a Unique Blend of Data Professional

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The Harnham 2019 Data & Analytics Salary Guide Has Arrived

We are thrilled to announce the launch of our 2019 Data & Analytics Salary Guide. With over 1,500 respondents across the USA, this year’s guide is our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 72% in the US willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates, on average, expect 10% more than they actually achieve when moving between roles.  We’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the US market is only 23% female, falling to 17% in Data Engineering roles and 16% in the Data Science space.  In addition to our findings, the guide also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copy of the guide here.

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