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UAV Engineer- Computer Vision
Salary

US$135000 - US$160000 per year

Location

Philadelphia, Pennsylvania

Description

With over 30 multi-million dollar programs with DARPA, the DoD and Homeland Security, you will be working on the best projects in the industry!

Reference:

MSHPA123

Expires on
Mairead Holt
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Digital Research and Insights Director
Salary

US$150000 - US$180000 per year

Location

New York

Description

This is a career-making opportunity to have a massive impact on an incredibly high-growth, digital-first media company in desperate need of a data guru!

Reference:

LH9837

Expires on
Lauren Harris
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Senior Paid Search Analyst
Salary

US$70000 - US$75000 per year

Location

Los Angeles, California

Description

Fantastic opportunity to take on the Paid Search analytics for an exciting and growing ad agency.

Reference:

54096

Expires on
Leah Topham
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SENIOR MACHINE LEARNING ENGINEER
Salary

US$140000 - US$160000 per year + Competitive Benefits

Location

Los Angeles, California

Description

This company is looking for a self starter that's up for their next challenge at a growing tech company in the children space!

Reference:

00000/KC

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Kristianna Chung
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Senior Data Scientist
Salary

US$130000 - US$150000 per year + additional benefits

Location

San Diego, California

Description

Looking for experts in predictive modeling that's interested in a chance to join an exciting start up fintech environment!

Reference:

47579/KC

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Kristianna Chung
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Analytics Manager
Salary

US$120000 - US$160000 per year

Location

Boston, Massachusetts

Description

Fantastic opportunity to join a growing media company in Boston using tools like SQL/SAS/Python/R hands on!

Reference:

1113/SB

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Sasha Baez
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Senior Social Insights Analyst
Salary

US$80000 - US$100000 per year

Location

New York

Description

This is a rare opportunity for a social media analytics expert who wants to work in one of the most cutting-edge marketing technology platforms out there!

Reference:

LH9289

Expires on
Lauren Harris
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Senior Data Engineer |Manhattan, New York
Salary

US$140000 - US$170000 per year

Location

Manhattan, New York

Description

Senior Data Engineer |Manhattan, New York

Reference:

H032519TD2

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Thomas Daughtrey
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Senior Digital Analyst
Salary

US$65000 - US$90000 per year

Location

Philadelphia, Pennsylvania

Description

Help shape the eCommerce and digital marketing strategy of this eCommerce brand as the Senior Digital Analyst!

Reference:

LH3720

Expires on
Lauren Harris
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Manager of Big Data | Hanover, NJ
Salary

Up to US$160000 per year

Location

Hanover, New Jersey

Description

Manager of Big Data | Hanover, NJ

Reference:

H032519

Expires on
Thomas Daughtrey
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Computer Vision Deep Learning Engineer
Salary

US$100000 - US$102000 per year + Equity

Location

Massachusetts

Description

An enthusiastic team of roboticists is looking to hire a passionate C++ Engineer with specialties in Deep Learning!

Reference:

MSHMA123

Expires on
Mairead Holt
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Principal Data Scientist
Salary

US$190000 - US$200000 per year + Bonus + Benefits

Location

New York

Description

Be an integral part of rapidly growing team within healthcare and have impact on business strategy with boundless upside.

Reference:

34482 VACTJ

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Tim Jonas
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239 result(s) found
Results per page 12 24 60

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

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

Finance 4.0 – Who Determines Credit Risk in the Fourth Industrial Age?

If you’ve applied for a credit card or loan recently, you’ll be aware of the swift response you now receive. No human can crunch the numbers and make the determination that fast, right? Although big banks are now adopting Big Data, Machine Learning, and AI into their legacy processes, startups have been disrupting the sector for a few years now. As banks and credit unions scramble to keep up, Fintech innovation is bringing together machine language, analytics, and AI to help form Big Data decisions in the industry. The forward-thinking potential of these technologies has led to some real-world uses to combat fraud, offer access to alternative data sources, and suggest real-time analysis for risk. So, Robots are Determining My Credit Risk? Well, yes and no. Often, those in the financial sector are using AI to assess Credit Risk. What once required Risk Analysts to determine manually, is now done in a matter of seconds with an early warning system developed by ING, PwC, and Google. This AI-powered system helps analysts make faster and more informed decisions about potential risk. How do they do this? Using pre-set criteria, they can gauge and analyze risk based on parameters such as whether or not a client has negative media coverage or if a share price falls below a certain percentage. If the world today is based on perception, even such items as bad reviews, negative coverage, and lower than average share prices can affect determinates. In addition, having these parameters can also help determine best practices and how businesses and individuals can be given opportunities outside the scope of big bank processes. However, as data breaches continue to mar profiles of both individuals and business, Machine Learning components offer platforms the chance to stem the tide of negativity. How Machine Learning Helps Prevent Fraud This is a simple process which requires two key measures. The first is to feed the machine not just a large amount of data, but knowing the parameters set, so the machine is fed relevant information. The second is human input which gives the machine its parameters to operate by. From there, the software will take the information, gain an understanding of the data patterns, and identify any signs of fraud. If done well, the automation process will employ solutions without sacrificing quality. Machine Learning in Determining Scorecard Models Alternative data sources offer more options not only to banks and credit unions, but also to borrowers. Using Machine Learning creates a more flexible, robust model when it comes to the type of information most useful to various borrower profiles. Having profiles prepared allows for automated scorecard updates and can generate better responsiveness and intelligence of a borrower’s risk profile. This process can be empowering for both startup and big bank tech.  The Matured State of Analytics Though humans must initially input parameters, the benefits of Machine Learning using a decision engine can dig deeper and reach farther than ever before. This type of platform can gather a variety of scenarios across the industry and can constantly analyze the information, helping inform the processes of setting credit limits, loan origination, and risk-based pricing. As an extension of a modern analytics platform, these processes fill in the gaps where other platforms may lack the data or programming required to run effectively. But, as these platforms mature, they are helping to drive innovation throughout the Fintech industry and shaking up the outdated, cumbersome processes of old for a much more streamlined efficient operation. Want to inform decisioning and work with data engineers to build validation frameworks? Are you looking to get in on the ground floor of a startup opportunity in the Fintech industry?  If so, we may have a role for you. If you’d like to learn more, check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Sara Cornwall

21. March 2019

News

The California Data Goldrush

What is it that makes California a mecca for the adventurous of spirit? Is it the land which sparkles gold from the goldrush years or the shiny newness of the latest in tech? From boom to bust and the promise in the dash of its life, it holds possibility in action.  Or is it because, as other cities, states, and countries rally and evolve their own tech hubs, California has already settled in as the standard? The Golden State is the home of Data & Analytics. Want to see how high you can go or how to pull yourself up from a failed attempt at success? Look to the place it all began and learn how to make your insights actionable and your business decisions better. How? Begin with a platform. A Data Management Platform. You’ve Laid the Foundation, Now What? Rather than nuggets, blocks, or bars, Data gathering is cumulative. In this case, its divide, segment, and step back for the big picture; a Data Management Platform (DMP) is a unifying platform. In other words, raw Data is collated and changed into usable form. This is the core of Data-driven marketing. It is what helps businesses learn about their customers and helps to set the stage for the actionable insights that lead to happy customers.  The abundance of Data can be staggering. How much of what information do you need to better manage your audience information? What do you need to know beyond the basics? How far should you drill down to shape and activate the Data you’ve been gathering and analyzing? Having the right Data reach the right customer at the right time can greatly improve a company’s bottom line. In layman’s terms, with a DMP as part of your marketing strategy, you’ll get the most bang for your buck. Making Connections Omni and multi-channel sources such as online, offline, and mobile are woven into the connections of DMPs. Unstructured Data collection is a neutral way to help marketers use their audience Data in whatever manner is best for their business. Sources come from first – and third – party sources including mobile, desktop, web analytics tools, Customer Resource Management (CRM) software, point of sale, social media, as well as the basics such as demographic and historical behavioral Data. Getting Started Organization – Determine how you want to define your Data so you can understand it when considering a DMP. How will you segment the information you’ve decided to collect?Segmenting and audience building – Once you’ve decided what information you want to gather, you can use the information to build your target audience. Imagine pinpointing a location on a map, then plotting a route to get there. Insights and audience profile reports – Here’s your chance to study the information and analyze patterns, trends, and intent. Let’s find out what exactly it is your customers want, so you can give it to them.Activation – Now, take what you’ve learned and run with it. This is the implementation phase whether it’s through advertising, messaging, even up your game and add-in the Data management platform information into your Content Management System (CMS). The possibilities are endless. Focus, Focus, Focus Here is where you’ll bring everything into focus and see just how far the possibilities can take you and your business. Below are a few ideas and things to consider: Set your audience and advertising targets – Determine the parameters for your audience’s interests and needs through the channels they most often use such as content whether audio or video.Get personal - Offer personalized experiences for web and mobile users as well as those who prefer to conduct their business offline.Game, Set, Match – When it comes to TV DMP, match your audiences on both TV devices as well as digital.Learn – Learn about your customer. Take time to get to know them online and offline through every channel available. Go deeper than point of sale information. What is it they’re looking for? What do they want? Why do they want it and how do they want to buy it? Grow – Whilst it takes a lot more time and effort to find new customers than to keep current customers happy it’s still important to use that time and effort to your advantage utilizing DMP to grow and cultivate a new audience, too. Build brand loyalty through both returning and new customers. Paid search and social – use your Data-driven audiences to target or update paid search including buys on social media. Ultimately, building a DMP will help you build a better relationship with your customers. It helps you show you have their desires at heart; and a happy customer is worth their weight in gold.  Check out our current vacancies for our latest opportunities or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Jamie Finnigan

13. March 2019

News

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