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Data Scientist - NLP
New York, New York
$160,000 - $180,000 base salary + full benefits
Harnham are partnered exclusively with one of the fastest growing fintech startups here in New York. They are at a critical juncture looking to expand their Natural Language Processing team. This position reports directly into the Chief Data Scientist having a high-level of visibility and calls for an experienced candidate with a strong technical background within NLP.
As the Data Scientist, you will be required to:
YOUR SKILLS AND EXPERIENCE
The successful Data Scientist - NLP will likely have the following skills and experience:
A competitive base salary of $160,000 - $180,000 + bonus + benefits.
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
NLP | Statistics | Natural Language Processing | Machine Learning | Deep Learning | Data Science | Analytics | Big Data | Finance
US$240000 - US$260000 per year + Bonus + Benefits
Are you looking to work with cutting-edge technologies in natural language to disrupt the financial space? One of the leaders in finance is doing just that!
US$160000 - US$180000 per year + Bonus + Equity
Harnham are partnered exclusively with one of the fastest growing fintech businesses looking for a commercially experienced Data Scientist for their NLP team.
US$165000 - US$185000 per year + Competitive Benefits
San Francisco, California
We are working with a revolutionary media streaming platform that streams content from hundreds of partners, making movie and TV titles accessible to everyone.
US$140000 - US$160000 per year + additional benefits
San Diego, California
This research tech startup is looking for a senior data scientist to join their mission to solve problems in the healthcare space!
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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Who’s your favorite team? It’s a question you’re likely to have heard greet you at an event, sports bar, or in general conversation at least once. But what is it the person really wants to know? They want to know who you are, understand where you’re coming from, and ultimately, if you will get along. When it comes to sports, though, these questions often go unasked because we’re drenched in head-to-toe gear such as hats, caps, bands, stickers, flags, cups, and other external signfiers of instant community. But what happens when Data Science and Machine Learning enter the mix? Why, you up your game of course. Die hard fans know their stats and make it a part of conversation to discuss what they would do with a player in regard to their plays, drafts, and even endorsements. Knowing stats is a competition in and of itself. Throw in the billion viewers tuned in to watch the Summer Olympics, the Super Bowl, Wimbledon, and the World Cup, and the captive audience for endorsements and advertising is out of this world. How Data Science and Machine Learning Enhance Fan Engagement Bonding with one another over stats and with advances in Big Data technology, fans and advertisers alike can create epic, interactive experiences. From Data tracking of angles to perfect the game, to knowing the best-selling food in the stands, everything is tracked and optimized for the euphoric experiences we recount into old age. Add in the cutting-edge technologies of Artificial Intelligence, Virtual Reality, and Predictive Analytics, and the Data gleaned becomes invaluable to strategists, sponsors, and fans. These analytics can help to leverage and deepen the experience while sharing insights on possible improvements. Both of these technological advances are set to change the viewers experience. Check out this article for a deeper dive as coaches explain the importance of analyzing Data. Stats and Data have been part of the sports experience since Billy Beane brought economics to baseball, but what does that have to do with sports marketing and branding? Borrowing Ideas from the Pros… of Branding and Marketing There’s no reason to reinvent the wheel. Use what the pros know to grow and scale your sports advertising. Get Local, and Get People Talking & Acting. Promote your brand locally around both national AND local events. Use the opportunity to get people talking. What do people want? What makes ‘em tick? What makes ‘em sick? What do they love about your brand and why would they tell their friends? You get the idea. Perfect for every endeavor from grass roots on up.Cross Channels. Get social. Invest in YouTube, Facebook, Instagram, Twitter, and so on. Use sweepstakes and giveaways, contests and surveys, to get people talking about you. Drive people to your site via an app or campaign which you know resonates with your die-hard fans. Use streaming, live, and exclusivity to ratchet interest.Think Long-Term. To truly see your numbers and know if what you’re doing is working takes time. This is a long game to master as you build awareness, set your objectives, and determine what parameters to set to realize success. These are just a few brand marketing ideas to scale from sports advertising. Now, it’s time to get creative. Use your giveaways as an opportunity to interact with fans and find out what they want. Well, other than their favorite team to win, of course. You Can Only Get Out What You Put In The value of Data & Analytics in modern sports is more than stats. Data Science and Machine Learning allow fans to forge deeper and more meaningful relationships with their favorite sports teams. These insights lead toward a stronger appreciation of what’s happening in the industry and with their fan favorites. Want to get in on the game? Degrees abound in the realm of sports analytics from Syracuse to Oregon University and nearly every state in between. Check this out to see where this industry can take you. For those in the Northwest, Oregon has become almost another Silicon Valley. But don’t let its rural areas fool you. They’ve got an ace in the hole from the East and is already under the moniker Oregon rural tech hub. Check out our current vacancies for additional opportunities. Contact one of our recruitment consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org.
17. April 2019
The days of generically using Data in Marketing are on the decline as information gathering becomes more laser focused. Once the domain of third-party sites looking to build partnerships and boost campaign efforts, Data Management Platforms (DMPs) are making way for Customer Data Platforms (CDPs). Under the weight of data breaches, GDPR, and other security issues, technologies that center around consent are helping build consumers into campaign strategies. This is a reversal from older strategies to build data from historic data profiles at channel level. Data is Data, So What’s the Difference? In a nutshell, DMPs act as “equalizers” – all companies have access to predefined parameters of data. CDPs are “differentiators” – each customer is unique with information driven from first-party historical and contextual data, determined along the customer’s purchase journey. Tailored customer data has now gone beyond the scope of Data Management Platforms and offers marketing insights nearly unheard of just a few years ago. Now, we can understand our customers not only from their historical, factual, and contextual data within parameters we’ve created, but we can gain an outside perspective as well. Five Reasons CDPs are on the Rise Single, Unified StorageThey store ALL data (1st, 2nd, and 3rd) such as names, addresses, emails, etc. as well as cookie IDs and tags. This storage capacity makes it easy to aggregate everything into one place and integrate with advertising systems.They capture data at a granular level. This includes considering long-term storage and multiple storage formats without predefined parameters focused only on advertising – what we want to sell you, not what do you want to buy?They aren’t restricted to stages of the customer journey, but can pick up data anywhere along the customer lifecycle. This information can be used for look-alike modeling or can be retargeted for more effective advertising and marketing efforts.They create a holistic overview of customer behaviors opening up new opportunities for personalization. Customer First Brand Targeting Today’s advertising and marketing strategies are being re-evaluated to prioritize the customer experience. Once customer data had to fit into predefined boxes of information, now our data collection efforts are as unique as every person who visits your website, clicks a call-to-action, or visits a brick-and-mortar store. In a Nutshell… This is a crucial time in the industry and any door which will help us resolve issues and keep the customer front and center will strengthen our efforts. However, as we go deeper into what the customer likes and why we must keep our customer’s privacy safe whilst retaining an advantage over our competitors. DMPs, once the singular domain of marketers, was used to package and repackage data to better understand customers and improve ad targeting. CDPs, on the other hand, focus on every aspect, every angle of marketing to make advertising more customer-centric and laser-focused. Ultimately, as CDPs are all inclusive, they have absorbed Data Management Platforms into their systems, helping move the industry another step forward. If you’re interested in Data & Analytics, consumer behavior, and are actively seeking an opportunity to dig in your heels and get set up for a strong career path, we may have a role for you. 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 email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org.
11. April 2019