Data Science Jobs in Boston

Our speciality is matching highly experienced and skilled talent, with world leading organisations who value the hidden insights data scientists can extract from data. Uniquely we understand the bespoke nature of this requirement and specialism, which goes beyond just qualifications in languages and database technologies such as R, Python and MySQL.



View our Data Science Jobs in Boston here now.

Latest Jobs

Salary

US$170000 - US$180000 per annum + BONUS + Unlimited PTO

Location

Boston, Massachusetts

Description

I'm working an exclusive partnership with a global leader in the E-commerce domain looking to scale their team out to a global level

Salary

US$16000 - US$130000 per annum

Location

Boston, Massachusetts

Description

If you are interested in being the deep learning and AI expert on a team to lead out innovation and strategy...apply!

Salary

US$120000 - US$140000 per annum

Location

Boston, Massachusetts

Description

An innovative AI startup that just received over $8m in funding is expanding their deep learning team

Salary

US$125000 - US$180000 per annum

Location

Boston, Massachusetts

Description

This online retailer that has grown exponentially over the past 7 years is looking for a Data Scientist focused on Cyber Security

Salary

US$150000 - US$200000 per annum

Location

Boston, Massachusetts

Description

A global retail business is looking to bring in a manager of software engineering to innovate the way AI is used within the company

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.

Machine Learning and Customer Experience for Business Scalability

Over the last four decades, we’ve feared change. Technophobia. Cyberspace. Smart devices. AI, Robotics and Automation. Each of these transformative shifts have changed our lives in one way or another. But there is a new, unexpected and desperately needed change already in play; putting the human back in our lives.  Human Resources. Human-centric customer service. Humans in cooperation and collaboration with smart technology. Both in B2B and B2C businesses, putting the human back in focus is imperative to success.  Consider Netflix. How it began, how it’s evolved, and how its efforts are seemingly leading the way for next gen personalization. Think: If you like this, then you may like (insert service or product here). Amazon does much the same. Putting the Human Element Back in CX When you call customer service with a concern or problem. What happens? Either there’s no phone number at all and you’re forced to send an email which you hope gets read by a person. Or if you do call, you push buttons trying to figure out which branch of the tree will get you to the correct person.  Chatbots have been one answer but they really only alleviate acknowledgement. We’ve all called a customer service number and spoken to two or more people about our issue. Bill Paterson, EVP of Salesforce, suggests a four-point, human-centric customer service engagement strategy, to help solve the problem.  In addition, his article takes a deeper dive into putting the human back in customer service. At the heart of the matter is putting Emotional Intelligence, care, and empathy back into the equation. Technology may be how people reach out, but it’s a human they want to speak to and connect with. When the two are paired, there’s a much better chance of success. And repeat customers. Pairing Machine Learning with a Human-Centric Touch While strategies and metrics still have a big role to play, there are other ways to measure customer success. Data gathered from your customers will only get you so far, but the human element, the human connection, supported by technology, is the next shift in Digital Transformation.  Machine Learning models can help predict what customers will want or need, but meaningful customer relationships are just as vital. It’s this pairing which can generate great service and scalability of today’s modern business. Though there is a strong underpinning of engineering components in building models, only a portion involves code. Much of the effort goes into the pipeline and workflow systems and infrastructure. It’s at this systems level, Data Scientists can focus on design and implementation of production. This strategy ensures that before building good models, a good foundation must be laid. One portion of this workflow has been called the ‘art of Machine Learning’. The ‘Art’ of Machine Learning  Data Scientists and Machine Learning Engineers have any number of ways to solve a problem. Dealing with such vast amounts of Data within a model is not unlike determining how to scale for a website which needs to handle large fluctuations in web traffic. The nuances of technology within the realm of human experience is an artform. Though in the future, most engineering challenges will be automated and open-source will be a go-to framework. As tools improve and ETL processes improve, ML Engineers and Data Scientists will get the opportunity to focus more on models and less on systems. But beyond the artform of experimentation and intuition is the growing trend for soft skills in tandem with technical skills. Those who can lead a technical team, who can communicate to non-technical professionals, and still have the Emotional Intelligence to navigate the human psyche. It’s these individuals who will be ready for the next step in leading businesses into the next generation of customer service.  Ready to take the next step in your career? Take a look at our current vacancies or contact one of our expert consultants to learn more.   For our West Coast team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

COMPUTER VISION AND MORE. WHAT’S IN STORE FOR 2020?

Computer Vision and More. What’s in Store for 2020?

For years, we’ve been blending tech with tradition as technological advances have moved us forward. At the heart of it all are Data, the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). Demand is high for advanced connected devices and at the industrial level, this means robots. According to market reports, the smart robot market is expected to be worth just over $14 billion by 2023. As we reach the turn of the decade, there are a few other trends to be mindful of as well. These include such disruptive technologies as automation, phygital spaces, smart buildings, and digital twinning to name a few. While disruption may often be evocative of something negative. In the tech world, it isn’t. But how the technologies are used and what they’re for may change our world, not unlike the invention of electricity changed the world of agriculture into the Industrial Age. With that in mind, here are some of the most disruptive technologies for 2020: Robots & Automation It’s almost a broken record, isn’t it? How quickly technological advances are marching across our landscape of connected devices? But the immersion of these devices into our lives offer a variety of interactions far beyond that we’ve so far imagined. AI-enabled robots, for example, are able to interact and respond to time crunched human situations. There’s more to robots and automation than meets the eye and the additional technologies just might have the answers to the challenges we are facing and will face in the future. Phygital Spaces  What if you could go to a baseball game with the experience of being at the game without leaving your couch? What if you could watch a race as though you were a participant? What if…? What if the technology to do this was already here? Enter phygital spaces, the blending of physical spaces and digital technology by bringing together AR, VR, mixed, and human reality.  Ready, Player One? Predictions are in for the growth of the AR/VR Industry to a $160 billion industry in the next three years.  Smart buildings  Since 2000, the smart building market has been expanding. Voice Assistants, smart home tech, and IoT allow you to check on your home’s safety from a remote location, control your temperatures, and even let the cable man in (if you still have it) without ever leaving your office.  However, immersive experiences are also becoming part of business management systems as well. The common denominating factor in these new advances? Where once you controlled each stage, now, based on preferences, changes will be made by measuring heat signatures, time of day, or some other assigned metric.   Safety & Security Come First As exciting as these advances are, there is one important thing to remember. While robots have become smarter and we offer an abundance of Data to varying degrees for our convenience, robots are not human. They may be able to reason in bits and bytes, but moral reasoning remains an entirely human endeavor. GDPR in the UK. Data Privacy Regulations state by state across the United States. They are steps in ensuring your Data’s safety and security, but as we increasingly combine and blend robots and automation, AR and VR technologies, digital twinning, voice assistants, and more across our connected devices its important to be aware and careful what you do on networked systems. No matter how strong your password, no matter how secure your system, everything can be hacked. Want to get a jump on your 2020 job search? If you’re interested in Computer Vision, Robots and Automation, Big Data and Digital or Web Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with 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.

Recently Viewed jobs