Data Science Jobs, Staffing & Recruitment

What We Do

We help the best talent in the Data Science market find rewarding careers.

In the US today, “Data-driven” businesses have a huge advantage over their competition and are generating massive impact. As such, the ability to understand how to extract actionable insights from large volumes of structured or unstructured data through the application of Machine & Deep Learning models is one of the most sought-after skillsets for employers. Data science requires those who work in the field to often write sophisticated algorithms that extract insights from large and complex data sources.

Those with a strong problem-solving ability and a team orientated focus, combined with a desire to generate real business impact, along with proficiency across more than one data science discipline, such as machine learning, NLP, Deep-Learning and statistics will flourish within the right role. It is our job to find that right fit for you

HOW We Do IT

We comprehend the myriad of technical disciplines and transferable skills a data scientist needs to be proficient across,
which set apart good candidates from the exceptional.

Our dedicated teams can spot this talent to supply our clients with people that can keep their business one step ahead. We pride ourselves on keeping on top of college programs who are upskilling the next generation of data scientist professionals.

Understanding the parallels between this and the evolution of big data, and high-performance computing, from entry level to senior positions.

What sets us apart?

Our specialty is matching highly experienced and skilled talent, with world leading organisations and disruptive start-ups who value the hidden insights data scientists can extract from their 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, Spark & Tensorflow. If you looking to add some scientific insight to a team and drive a business forward contact our Data Science Team.

Latest Jobs

Salary

US$125000 - US$140000 per annum + + Bonus

Location

Chicago, Illinois

Description

This is an opportunity for a talented Data Scientist to join a fantastic utilities company working with a team of dedicated team members.

Salary

US$180000 - US$200000 per annum + Bonus + Equity

Location

Boston, Massachusetts

Description

This is a player/coach position with a rapidly growing eCommerce business where you'll lead projects and partner with stakeholders.

Salary

US$225000 - US$300000 per annum + HUGE RSUs

Location

Boston, Massachusetts

Description

IF YOU are an experienced DS leader with team leadership experience in an e-commerce or D2C company - This could be the perfect step into a leadership position

Salary

US$140000 - US$155000 per annum + plus bonus and equity

Location

New York

Description

NLP Scientist role at a large biopharmaceutical company in New York City

Salary

US$180000 - US$200000 per annum

Location

New York

Description

This boutique consultancy is looking for a lead machine learning engineer to works hands on developing advanced NLP and AI models

Salary

US$140000 - US$160000 per annum + + Bonus

Location

Philadelphia, Pennsylvania

Description

If you are interested in working with a dedicated and passionate team, this is the role and company for you.

Salary

US$180000 - US$200000 per annum + Equity + Benefits

Location

New York

Description

The ML Lead will be a player-coach and own all ML projects and development.

Salary

US$170000 - US$180000 per annum

Location

Boston, Massachusetts

Description

An ecommerce powerhouse worth over $4bn is growing out a Data Science and Healthcare Analytics team

Salary

US$200000 - US$240000 per annum + Competitive Benefits

Location

Portland, Oregon

Description

A growing fintech start up addressing some of the world's largest problems in the credit space.

Salary

US$250000 - US$300000 per annum

Location

New York

Description

Senior Machine Learning Engineer role at a massive eCommerce company in New York within a brand new team.

Salary

US$150000 - US$170000 per annum + equity & 100% healthcare costs covered

Location

New York

Description

An innovative health-tech company is looking for a statistician with commercial experience working with healthcare data.

Salary

US$140000 - US$160000 per annum

Location

Chicago, Illinois

Description

This ecommerce powerhouse uses a subscription-based model to generate millions of customers. They are looking for a Principal Data Scientist!

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.

The Science Of The Mind From A Data Perspective

Wearable devices. Electronic Health Records. Telehealth Appointments. Mental Health apps. All these devices collect, gather, and analyze Data. These are just a few of the devices available to the public for their physical health. And yes, mental health is part of your physical health. After all, when you feel relaxed, calm, and ready to carry on, it makes you feel better as a whole person, right? According to the National Institute of Mental Health, one in five Americans suffers a mental illness. Yet less than half receive treatment. With the advent of virtual telehealth services, Forrester predicted one-third of the estimated billion users of the service would be for mental health in 2021. So, with all these cutting-edge technologies, it would seem there’s an opportunity for everyone to find support. Mental or behavioral health goes deeper. Let’s take a look at some trends in Genomics, genetics, and how Data Science can help.  What To Do With the Data in Mental Health Every device we wear, form we fill out, or appointment we schedule requires information. We give demographics, location, family and medical histories with an eye toward genetics. What environmental factors could have contributed? Who is most affected and how can they be reached?  How does social media play a role?  What stresses could someone be facing? How might you reach them and once engaged, how would you ensure treatment continued? These are just a few of the questions to be asked and the answers range from chatbots and virtual services to check-in apps. But when it comes to taking a deeper dive, genomics offers up a few more technologies fixed on getting to the heart of the issue. Such as: Using Natural Language Processing for note-takingDiagnostic Image Recognition using brain scansUnderstand and implement appropriate treatments using genomics to treat based on each individual’s needs.Continue advancements in Machine Learning chat bots and AI These are just a few of the trends in mental and behavioral health. More focused advances in gene editing allow for influence of specific cells. These breakthroughs offer ever more individualized treatments at a molecular level. Check out this Forbes article for a few more trends in the Life Sciences and Healthcare space. Bringing it All Together. Genome Data Is In Demand Where genetics ends, genomics begins. Much like we talk about work and life balance or integration, genomics seeks to employ for our mental and physical health. Using Data-driven insights to offer more treatment options, patients can engage with their providers via any number of sources. Precision medicine, lifestyle changes, AI and deep learning initiatives are driving genomic integration to help fuel behavioral health solutions. These advances are rich with promise in the Life Sciences field and are meant to benefit the whole person not just body or mind. May is Mental Health Awareness month. So take care of yourself. Reach out to others and if you’re thinking you need a change and you want to be part of the discoveries, Harnham 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, 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.  

The Many Faces Of A Data Science Team

What do McDonald’s, Nathan’s Famous Hot Dogs, and Data Science have to do with one another? More than you might realize. Stay with me here. McDonald’s and Nathan’s knew something businesses have yet to learn when it comes to data. These businesses were the epitome of efficiency. Nathan’s came first and took a page from Henry Ford’s playbook to create systems. The idea was to have one person in charge of one thing. Hello, assembly line. McDonald’s built on that idea. Everything must be the same, in every store, everywhere, no matter what. Now, we’re cooking! In Data Science, people imagined people in white lab coats who knew everything about everything. Except, they didn’t and don’t. Data Science was a new shiny object for businesses to get ahead of the curve and in keeping up, threw a wrench into what was once siloed, then became teams, and needs to be, well, not siloed exactly. Just separated a bit. And Data Scientists could name their price. It was the sexiest job of the 21st century after all, right? Well, the beginning anyway. Data Grows Up and Up and Up Data has evolved and so has Data Science. We’re much more specialized than we have ever been and yet, one industry and one type of professional within that industry is tasked with a wide array of projects or problems which perhaps should be left to those who are more hyper-focused on the problem. Otherwise, you’ll get McDonald’s making filet mignon. It may take longer, the ingredients are more expensive, it’s cooked differently. You get the idea. More Data equals more problems equals more Data Scientists. But who are Data Scientists? They are the Business Analysts, Statisticians, Data Engineers, Data Architects, and so much more. To solve a problem, though, you need to know first what you want to solve and that can help you figure out who to hire to help you solve it. As advancements scaled, so to did business problems, and to solve problems you need people from different backgrounds for different, new, and innovative ideas. As things scaled, the role of the Data Scientist became more ambiguous and unwieldy, and Big Data embraced Machine Learning and Artificial Intelligence. So, rather than be lumped in with one title, the titles and their job descriptions shifted the world of Data Science and its Scientists into hyper-focused roles such as Machine Learning Engineer or Artificial Intelligence Engineer. This shift challenges the status quo much like Data Science did in its earlier days.  Finding Focus If you’ve ever heard the phrase, jack of all trades, master of none, you may realize the scope of Data Scientist has become too broad. Below are 3 hyper-focused in-demand skills for the future: Artificial Intelligence (AI) and Machine Learning (ML). These jobs could include Computer Vision Engineers, Robotics, ML Engineers, Researchers, and Developers.  Cloud Computing. Think Amazon AWS Engineer or Microsoft Azure professional.Natural Language Processing. Be specific and focused. Focus on specific and tangible areas where problems are yet to be applied and solved. Avoid generalizing people and roles. Even in cybersecurity, wouldn’t you rather have a professional focused on the security of your business with experience in the cloud? Enter Chief Security Officer who may suggest a Security Engineer or Ethical Hacker to test your safety protocols. So, what makes McDonald’s and Nathan’s so special? They wanted to create a unified experience and have done so. Your McDonald’s experience in San Francisco is the same as in Ohio is the same as in New York is the same as in London. But to create this experience, these two fast food chains knew it would require one person focused one job working as one unit. A team all working toward the same goal. Maybe it’s time to take a page from their playbook? If you’re interested in Big Data and Analytics, Harnham 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, 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

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