Data Science

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$170000 - US$190000 per year + Bonus + Benefits

Location

New York

Description

A unique opportunity to be at the forefront of a growing team and collaborating with highly successful senior management in fintech.

Salary

US$160000 - US$180000 per year + + Equity + Benefits

Location

New York

Description

Exciting opportunity to be the first Data Scientist in the New York office of a fast growing tech startup.

Salary

US$170000 - US$190000 per year + Benefits

Location

San Diego, California

Description

Our client is looking for an experienced Data Science Manager to help lead and grow a team of data scientists.

Salary

US$19000 - 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.

Salary

US$150000 - US$180000 per year + Benefits

Location

San Francisco, California

Description

This is a growing, well-funded company operating in the Bay Area working with top companies to provide insights.

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.

Women in Data Science

It's 2018 and the predictions of two and five years ago remain. There is a shortage of talent for what has been billed the hottest career of the 21st century. Why? Among the answers to this question, lies lack of diversity within data science teams. With the Women in Data Science (WiDS) Conference set for March 5th around the globe, we wanted to focus on the lack of gender diversity in data science and STEM roles in general. In the UK, women make up nearly 13% of the STEM workforce versus 26% in the US, though both countries are still woefully underrepresented. Yet, a McKinsey Diversity Report found that 15% of diverse and gender-diverse businesses are more likely to outperform those businesses that are not. We spoke with McElla Pappas, Vice President of Harnham regarding her thoughts on the talent shortage with a particular focus on the shortage of women entering the data science field. What do you think would generate interest? What would bring more people to the field of data science? I think to increase the candidate pool and engage more women in data science requires a blend of analytical traits and effective communication of what the data tells us. This blending creates more of an organic challenge and a task that can be a bit more results-oriented catering more to the science of how women think and what we look for in a data science role. The science that I've always heard is women like to see impact, to see growth so we need to shift the conversation from "this is a technical role" to "this is a role that is changing the way healthcare will look tomorrow". If we can focus and drive more women toward the messaging of what we're impacting; whether it be in the healthcare space, learning and development space, or improving customer experience, I'm sure we'll see more engagement from women. Do companies need to be more educated to the benefits of women in data? Businesses need to have a level of emotional intelligence to understand women want to be on the same playing field. Companies need to push them from a confidence perspective and manage individually rather than in a group. They also have a responsibility to ask why aren't you putting your hand up, you've got the skills. It's all about confidence.  That said I don't believe all companies require education on the benefits of women in data. We have a customer who is actively looking for female data science talent, so we've been working to put together an event for women in data science in which high level women in the data science industry speak at the conference. Should women interested in data science target a position in a start-up or a more established firm?  By their very nature, smaller organizations can offer more cross-functional exposure versus larger and more established organizations. However, within the departments of larger organizations there may be opportunity to gain more commercial exposure. In general, though, gaining more exposure at varying levels and in different departments are more likely to be found in smaller organizations. Help us change the conversation and take that step towards a new big data and analytics role. You can check out list of current vacancies here. For the East Coast and Mid-West teams please call 212-796-6070 or email newyorkinfo@harnham.com. For the West Coast team call 415-614-4999 or email sanfraninfo@harnham.com. 

Big Data and Analytics Insight into Employee Potential

In less than ten days, Silicon Valley’s Santa Clara Convention Center will be filled with speakers, panelists, and thought leaders from around the globe at the AI & Big Data Expo North America. Topics from the future of enterprise to spotting potential top talent, and everything in between will be covered.    But how important is it for the future of enterprise to be driven by not only digital transformation leaders, but also a solid data team?   Today’s data team must be a mix of the highly technically skilled and the soft-skill savvy, crossing what were once siloed departments across an organization. How do you spot top talent potential in your in-house team? What about those who perform better in person than on paper? What if you could see at a glance the possibilities of an employee’s performance?   Big Data Offers Instant Insight on How to Spot Top Talent   Digital transformation leaders and business executives have more detailed employee information at their fingertips than ever before. By combining people data with accurate algorithms using human capital management tools, organizations are armed with a robust picture of top talent. This offers instant insight into an employee’s potential. Estimation and guess work are a thing of the past, and armed with this type of information, organizations can put into motion succession plans, decide professional development opportunities, and future compensation as well as invest in their top talent for maximum potential.   But, before you can develop high-potential employees, you need to find them. This can be one of the most difficult challenges. Then, once you find and prime your potential leaders, how do you retain them? Having a strategic, proactive approach is an excellent first step towards a successful strategy, and may include some or all of the following:   Creating continuous learning opportunities.   Conducting a pulse check. How are they feeling about the company? Their role? Responsibilities? Like the nuanced role which combines savvy soft skills with highly advanced technical skills, cognitive assessments using NLP can offer instant insights. But, it’s important to conduct in-person pulse check interviews as well, if possible.  Offering mentoring or coaching opportunities.  It’s also important to note, a diverse data team with a variety of backgrounds, can add more perspectives for more innovative solutions in business.   The Competitive Advantage of Effective Data Analytics   Data surrounds us, and in our data-driven world, it’s important for business leaders to understand the impact of Big Data and Analytics when it comes to finding, developing, and planning for top talent. As much as we need to know where and how to find top performers, we need to identify our current potential talent, to support their growth, or risk losing them.   Current performance is only one way to gauge talent and isn’t always a good indicator of future potential. In fact, not having all the facts and relying on instinct could prove to be a liability. In other words, high-performing employees may not have high potential, but high potential candidates may stand out in different ways. Knowing the difference can save time, money, and resource. Losing a high-potential employee can cost over three times their salary, as well as their deep institutional knowledge. Like customer behavior insights gleaned from data, effective Data Analytics can give companies a big advantage over their competitors.    If you’re interested in Big Data and Analytics, we may have a role for you. We specialize in junior and senior roles.    If you’re attending the Big Data and AI Expo in Silicon Valley, November 28 and 29, stop by our booth and say “Hi”. We look forward to meeting you and can discuss opportunities on the spot. If you can’t make it, you can check out our current vacancies 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.

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