Data and Technology Remote Jobs

Remote Jobs in USA

We source the people who enable and optimise the technologies that make data possible.

Harnham understands these skill areas, the technologies, the tools, the environments and the individuals. We are truly specialised on data and analytics staffing throughout this sector and analyze the market thoroughly.

We have the knowledge, the network and the required drive to find the best candidates on the market, as well as working with some of the most exciting data businesses around.

View our latest remote Data and Technology jobs.

Latest Jobs

Salary

US$220000 - US$240000 per annum + bonus and benefits

Location

San Francisco, California

Description

Exciting new role within a growing team at a social media giant! Looking for an extremely technical Applied MLE to work within adtech.

Salary

US$170000 - US$200000 per annum + Additional Benefits

Location

New York

Description

A Data-centric Tech Start Up client of mine are looking for a Full Time DataOps and Presales Engineer to join their NYC team!

Salary

US$170000 - US$200000 per annum + Additional Benefits

Location

New York

Description

A Data-centric Tech Start Up client of mine are looking for a Full Time DataOps and Presales Engineer to join their NYC team!

Salary

US$320 - US$480 per day

Location

Seattle, Washington

Description

Salary

US$155000 - US$205000 per annum + Bonus, Benefits, 401k

Location

San Francisco, California

Description

As a Sr DevOps Engineer, you will join a highly successful pharmaceutical company whose mission is improve patient lives through digital biology

Salary

US$180000 - US$200000 per annum

Location

California

Description

Series B start-up that just received 20M in funding and is looking to expand their Engineering team!

Salary

US$125000 - US$155000 per annum + Benefits, 401k

Location

Portland, Oregon

Description

As a Senior Software Engineer, you will join a highly collaborate team that are passionate about developing big data technologies.

Salary

US$170000 - US$200000 per annum + Additional Benefits

Location

New York

Description

A Data-centric Tech Start Up client of mine are looking for a Full Time DataOps and Presales Engineer to join their NYC team!

Salary

US$130000 - US$160000 per annum + Additional Benefits

Location

Hartford, Connecticut

Description

A global insurance conglomerate is looking to bring on a subject matter expert in all things data engineering to join their CT HQ or work remotely!

Salary

US$190000 - US$200000 per annum

Location

New York

Description

Do you want to join an AI advertising platform designing machine learning algorithms?

Salary

US$480 - US$520 per day

Location

Los Angeles, California

Description

Exciting opportunity for a Business Intelligence Analyst with a background in Marketing or Product at a promising streaming startup!

Salary

US$130000 - US$160000 per annum + Additional Benefits

Location

Hartford, Connecticut

Description

A global insurance conglomerate is looking to bring on a subject matter expert in all things data engineering to join their CT HQ or work remotely!

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.

How Machine Learning and AI Can Help Us See the Forest for the Trees

In the early days of 2020, Johns Hopkins, the CDC, the WHO, and a host of other public organizations banded together in collaboration. They were on a mission to ensure the world had real-time information to a virus that would forever chance the course of this year and the years to come. Which is great for those families with a computer in every home or every person with smartphone access. But what about the rest of the world? How do you ensure those people without access to basic needs lives can be improved? A health non-profit using AI and Machine Learning is aiming to do just this. But the Data is vast and the sheer numbers of people need to be corralled by someone into something the computers can read and make decisions on. Who would have thought Public Research and Data Science would come together in such a manner and in such an important time? Three Benefits of Data Science and Machine Learning in Healthcare According to a seminar given in September 2019, two research scientists explained to the CDC the promises and challenges using Big Data for public health initiatives. After explaining a few definitions and making correlations, the focus was soon on the benefits. The focus of Machine Learning is to learn data patterns.From the initial focus, patterns can then be validated to ensure they make sense.These patterns and validation of patterns can find links between seemingly uncorrelated factors such as the relationship between one’s environment and their genetics. To the scientists working with these scenarios, the decisions seem simple. Yet, when it comes to explaining them to laymen like policymakers, there can be a shift in understanding. This shift can lead to arbitrary and different findings which can affect medical decision making. Why? Could it be using Random Forests in linking the data could be confusing?  Data Classification is Not as Cut-and-Dried as a Work Flow or Org Chart If someone shows us a work flow or organizational chart, we understand immediately each task to be done in which order or who reports to whom. But in trying to link uncorrelated bits of information using decision trees, it can seem more like abstract art, more subjective than direct. Yet, it is those correlations which answer the bigger questions brought to bear by Research Scientists, Public Health Researchers, the Data Scientists, and AI working together to see the bigger picture. Decision trees, ultimately, are the great classifier. But there are a few things which need to be in place first. Yet, in the random forest model it’s not just one decision tree, it’s many. This is definitely a case where, if you done right, you will see the forest for the trees and at the same time be able to determine patterns in those trees. A bit counter-intuitive, but this is what stretches our minds to see correlations and patterns we might not see otherwise, don’t you think? So, what do you need to help make predictions?  Two Important Needs to Help Make Predictions Predictive power. The features you employ should make some sense. For example, without a basic knowledge of cooking, you can’t just throw random items from your refrigerator into a pot and expect it taste good. Unless of course, you’re making soup and all you have to do is add water.The trees and their predictions should be uncorrelated. If you’ve ever seen M. Night Shymalan’s Lady in the Water, there’s a little boy who can ‘read’ cereal boxes and tell a coherent story. A predictive coherent story. This is the layman’s version of random forests, their predictive nature, and ultimately, the scientists who can ‘read’ and explain the patterns. If you're looking for your first or next role in Big Data, Web Analytics, Marketing & Insight, Life Science Analytics, and more, check out our current vacancies or contact one of our recruitment 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.  

Blockchain Technologies Find Fuel in the Life Sciences Industry

When Ford first introduced the assembly line, he could only imagine how it would affect the automotive industry. But what about how it could affect supply and demand within the life sciences industry? Automotive and similar factories have been converted before to help build items most needed. Not the least of which, today, is to help supply those in the life sciences industry with the PPE and medical devices they need. Demand is high. Supply is not. Enter blockchain technologies.  As health systems become overburdened and disruptions to ‘normal’ life occur on a global scale, it’s important to ensure critical resources are prioritized. So, what can businesses do to help ensure supply and demand are met in not only these critical times, but for the future. FIVE WAYS TO ENSURE SUPPLY MEETS DEMAND When it’s difficult to supply even the most in demand products, it’s time to take an assessment of various scenarios. These scenarios can help leaders predict what and when they’ll need certain products and critical items. Assess your scenario within the framework of increased disruption.What are your capabilities?Identify the most immediate needs to meet, any risks to be aware of, and take action.Determine any structural changes you’ll need to make.Prepare to pivot. Be aware you may be in a continuous cycle of determining risk, assessing where you are and need to go, any configurations you’ll need to make to get there, and any operational procedures to improve and move forward. By assessing, prioritizing, and visualizing, companies are able to craft a clearer scope of vision. The scenarios created can offer insight into key pieces of planning to help mitigate disruptions of supply chain processes. This crisis will have long-lasting effects and implications from how we work to how we assure supply and demand. It’s in these strange crosshairs, the life sciences industry finds itself at the center of this pandemic, and at the same time is the life force which has given blockchain technologies fuel to improve. No matter where you are on the spectrum of supply chain technology, there is calculated risk to every decision. Just because we’re easing restrictions now, doesn’t mean there won’t be an about face in the next few months, and what companies do between now and then is critical. Supply is already short. Now is the time to take immediate action to help mitigate risk for patients, providers, your clients, and your communities WHAT TO DO NOW AND HOW TO PREPARE FOR THE FUTURE The scale of risk is unlike any leaders have seen in recent years. Its speed adds to the uncertainty as numbers rise, decisions change, and most are left wondering what’s next. Businesses who respond quickly and confidently can help to alleviate some uncertainties, but can craft a plan crucial to understanding the complexities of blockchain within the industry. Strong data, analysis, predictive modelling can help to anticipate any further or potential disruption. Taking these steps can help make businesses more resilient in the future and also help them manage future challenges. It’s integral to have strong, responsive, and resilient risk management capabilities. To do this, your business will want to ensure their capabilities are technology-led platforms which support analytics, machine learning, and artificial intelligence. Whether you’re mitigating risk, preparing an assessment, or determining your capabilities, it’s important to ensure you’re transparent. We are all in this together. Even in business. Transparency builds trust as does assuring supply and demand by mitigating risk. It’s these things which will soon become the basics of business protocols. Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running.  In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics professional opportunities, check out our current vacancies or contact one of our recruitment 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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