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$180000 - US$210000 per year + Bonus + Benefits

Location

New York

Description

Exciting opportunity to build predictive models with machine learning for jet engines and leading an expanding team!

Salary

US$200000 - US$250000 per year + Bonus + Equity + Benefits

Location

Nashville, Tennessee

Description

An exciting opportunity to build out a Data Science team from scratch. This position requires an impressive leader for a brand new team.

Salary

US$180000 - US$200000 per year + benefits + bonus

Location

New York

Description

Looking for a lead computer vision engineer to contribute to algorithm development and implementation.

Salary

US$180000 - US$200000 per year + benefits + equity

Location

Boston, Massachusetts

Description

A thriving, well funded start up is looking for a Computer Vision Engineer to bring their talent to the team!

Salary

US$160000 - US$180000 per year + benefits + equity

Location

Boston, Massachusetts

Description

Join a series A start up that is building deep learning and computer vision algorithms to detect hazards on construction sites.

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. 

Social, Fashion, And The Data Analytics Journey

Customers are more discerning than ever when it comes to where, how, and what they’re buying. With the rise of social media and video marketing, these real time decisions are creating real time insights. As trust declines in traditional media and advertising, it’s the Influencers who are now center stage. Combining stunning imagery and aspirational lifestyles, it is their sponsored posts that are informing an entire generation’s decisions, giving the fashion world invaluable insights regarding the future of retail.  From lowering costs to highlighting the right talent, as well as offering insights into supply chain processes, social media is bringing another aspect to the customer journey. As the need for Data Scientists and Digital Analysts grows, so too does the need for those who can offer both technical AND soft skills. The demand for creative talent within Digital Analytics is growing. We’ve talked about how data teams are no longer siloed and are now integrated with marketing and sales teams, and the industries Big Data effects from the boardroom to the stockroom. Showing Your Creative Side Video marketing is king in 2018 and, if it can work for brands, it can work for you. As more and more people use their mobile phones to research key decisions, including when hiring, mobile video and broadcast-style content is one of the most effective ways of engaging your audience.We’ve already talked about how to boost your resume with video in a previous article, let’s quickly revisit two of our key points:Appearance: It takes less than ten seconds to make a first impression. Professional dress, a smile, and lighting are all important areas to help you set the stage for your video.Script:  Working with a short script helps you stay on track and focus on key points. It also makes it easy for hiring managers or recruitment agencies to follow along. Whether your video is you talking to camera, or a slideshow of your work, it is important to cover these key points: Explain why you’re the best person for the job.Show how your skills and expertise can help them solve their problems. Use engagement metrics as evidence for your successes. Keep your video short. Anywhere from a 30-second elevator pitch to a 2-minute in-depth video.  HOW AI Can Help When utilizing date to enhance a customer’s experience, it is crucial to maintain the essentials of customer service; be human, helpful, and relevant. We don’t want someone looking at a pair tennis shoes to be shown an image of stilettos. Thankfully, with the use of AI and predictive analytics, they’re likely be shown an image of tennis shirt or racquet they might want to purchase along with the shoes. AI continuously learns to upsell and add value. These days, we are a visual society, taking bite-sized moments of our day in video clips and imagery. Because of this, we’ve seen an increase in visual search engines using machine learning to search by images rather than keywords.   This data, alongside what we can learn from Social, offers a unique look at what consumers are interested in. It is a valuable source of customer intelligence, and by applying it to a business’ challenges, we can leverage the information to influence and inform. What we learn can then help solve those challenges or offer feedback regarding product development. The number of people consuming fashion through social media is expected to reach 1.2 billion by 2020, with Instagram, Pinterest, and YouTube leading the way. Images help bring consumers into a brand’s story, particularly in the world of fashion. And as, virtual reality, augmented reality, and wearable tech allow for real time researching, sizing, and virtual trying-on of products, as well as instant feedback from friends, fans, and family, the industry needs to move faster than ever.   Want to influence one of the fastest growing and spirited fashion brands and help drive global initiatives? We may have a role for you. We’re in search of a Director, Digital Analytics – Fashion Brand in San Francisco.  Want to learn more or check out our current vacancies? For the West Coast team call us at (415) 614-4999 or email us at sanfraninfo@harnham.com.

Recently Viewed jobs