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Senior Data Scientist working with cutting edge research into online behaviour at Qubit

Senior Data Scientist working with cutting edge research into online behaviour at Qubit

Senior Data Scientist

We’re looking for a Data Scientist to join our Research team, to help us develop intelligent products around this data, and conduct cutting-edge research into consumer behaviour on the web.

This is a great opportunity to conduct real R&D around human behaviour. Our data collection tools store more than 1 billion data points every day. Overall, Qubit technology tracks consumer journeys leading to billions of pounds of online spending worldwide every year, for some of the largest names in online retail.

We’re looking for someone smart and motivated, with experience solving real data analysis problems with statistical and machine learning techniques. As part of our research team you’ll help to understand our ever growing dataset, working closely with other parts of the business to ensure our products are ahead of the competition.

Key Responsibilities

  • Joining a team of Data Scientists at a fast growing company with plenty of opportunities to have a big impact
  • Conducting pure research and developing that research into real products used by some of the top names in online retail
  • Building statistical models and applying machine learning/artificial intelligence techniques to understand consumer behaviour online
  • Working with a mixed set of technologies and experimenting with new ones
  • Exploring how state-of-the-art machine learning methods can be applied to real-life problems at Google-scale

Personal Characteristics

We’re open to applicants from any background. Our main requirement is that you’re smart, motivated, and able to do the job. We don’t mind what specific technologies you’ve worked with in the past, although, having some previous experience with production-quality Python will help you add value quicker. We’re looking for someone who adds to our team and complements the skills we already have. That said, in order to meet these requirements, you will probably have:

  • At least one of:
    • A PhD with a large data-analysis and statistics component (e.g. Machine Learning, Computer Vision, High Energy Physics, Genetics etc…)
    • A MSc in Applied Statistics, Machine Learning or similar
    • Commercial data science experience
    • Experience deploying machine learning models in a production environment
  • At least two of:
    • Experience conducting data analysis on big data (e.g. TB+ scale datasets)
    • Experience applying statistical techniques and machine learning algorithms to extract insights from real data
    • Strong technical skills, e.g. software development, practical data analysis
  • Ability to clearly communicate complex research findings with non-technical team members and clients
  • An interest in human behaviour

Plenty of perks

As well as the opportunity to work with leading clients and a world-class team, you’ll get:

  • Realistic performance-related bonuses
  • Equity options
  • Private health and dental insurance
  • Twice weekly supermarket shop so that you can have healthy breakfast, lunch and snacks
  • Yoga and meditation classes
  • Subsidised gym membership
  • Fortnightly company socials
  • Plenty of opportunities for training and development

Location: HQ is in London, other offices New York, San Francisco, LA, Paris and Hamburg

About Qubit.

Qubit is the leader in highly persuasive personalization at scale.

Leading ecommerce companies work with Qubit to transform the way they understand and influence their customers in order to increase revenue, build loyalty and improve marketing efficiency.

By combining rich customer data, deep learning technology and advanced segmentation capabilities, the Qubit Customer Influence Engine can precisely match customers with the widest range of personal, online experiences to influence behavior at scale.

Qubit is trusted to deliver real impact to the bottom line for the biggest brands in eCommerce including Ubisoft, CafePress, Topshop, Shiseido, and Emirates. Across the global Qubit customer base, $600 million worth of online sales are influenced over a typical week.

To date, we have received over $76 million in funding from Goldman Sachs, Accel, Sapphire Ventures, Balderton Capital and Salesforce Ventures.

www.qubit.com

Qubit is an equal opportunity employer committed to providing its employees with a work environment that is both challenging and rewarding. For additional information, please visit our website at www.qubit.com

Learn More »



Source: https://stackoverflow.com/jobs/151234/senior-data-scientist-working-with-cutting-edge-qubit?a=OIAzRh8Vc1W

Author: Qubit

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Investment Professor (Online Education) – Wyatt Investment Research – Richmond, VT

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This is a part-time / freelance opportunity with the ability of working remote. We are seeking an investing professor to help build a successful new service….
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Source: http://www.indeed.com/viewjob?t=Investment+Professor&c=Wyatt+Investment+Research&l=Richmond,+VT&jk=563873682c803ca7&rtk=1btgauosm1a2p208&from=rss

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Investment Professor (Online Education) job – Wyatt Investment Research – Richmond, VT

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Investment Professor (Online Education)

Wyatt Investment Research

Richmond, VT

Full-time, Part-time

Seeking a passionate educator to teach investing in an online classroom setting.

Wyatt Investment Research wants to teach the lessons of long-term investing success. Using the very best investing books, we plan to teach the lessons of successful investing from Warren Buffett, Charlie Munger, Peter Lynch, Benjamin Graham, John Bogle, Philip Fisher, Carl Icahn George Soros and many more.

The ideal candidate has experience teaching investing and finance online. Experience with an online classroom, video and social media is required.

The ideal candidate has an advanced degree – Master’s Degree, MBA, or PhD.

This is a part-time / freelance opportunity with the ability of working remote. The positon could grow into a full-time role in the future. Our office is located near Burlington, Vermont.

Job Responsibilities Include:

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  • Engaging with students in an online forum
  • Using social media to promote investing education
  • Creating online learning workbooks, special reports and materials

Compensation: We offer a salary or retainer plus generous incentive compensation package.

Location: We are seeking an investing professor to help build a successful new service. Our office is located near Burlington, Vermont. However, we are completely comfortable working with remote team members.

Apply Today

Please email us at [email protected]

To make it easy for us to find your email, please include the words “Investing Professor” in the subject line. Please include the following in your email:

  • Explain your personal interest in investing and experience teaching investing
  • Favorite investing books, including how they have influenced your personal investments
  • Writing samples
  • Resume

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