Harnham

Predictive Analytics Jobs

The need for candidates who can use statistical techniques and predicative modelling to find patterns in historical and transactional data, is at an all-time high. The more you can understand about your customer and predict what their behaviour the more agile your business can be. 

This discipline crosses over many verticals such as retail, finance (credit risk and fraud) etc. mining data and extracting key information to predict trends. We are aware of the many applications for this profession, as well as the benefit to businesses who can use it to drive better decision making in the future.


TAKING THE GUESS WORK OUT OF PREDICTION

Brands who have a vested interest in the application of predictive analytics, know that we are a name to be trusted when sourcing that type of candidate who will foster a positive impact to business practices.

Leveraging the database we have developed over the years, we have a pool of talent that can empower any business, to more accurately evaluate trends and achieve more. Whether this is the start of the journey or not. We meet the needs of many different brands looking for a range of skill levels, from beginners to experienced analysts. 

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.

Latest Jobs

Senior Statistician, Data Science
Salary

US$150000 - US$170000 per year + Equity + Benefits

Location

New York

Description

Be part of a high caliber team propelling the medical imaging space through Data Science!

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Principal Data Scientist
Salary

US$190000 - 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.

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Senior Machine Learning Engineer
Salary

US$165000 - US$185000 per year + Competitive Benefits

Location

San Francisco, California

Description

We are working with a revolutionary media streaming platform that streams content from hundreds of partners, making movie and TV titles accessible to everyone.

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SENIOR DATA SCIENTIST
Salary

US$150000 - US$180000 per year + additional benefits

Location

Orange, California

Description

Join a growing fintech start up as a senior data scientist!

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Senior Data Scientist
Salary

US$130000 - US$150000 per year + additional benefits

Location

San Diego, California

Description

Looking for experts in predictive modeling that's interested in a chance to join an exciting start up fintech environment!

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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.

Junior Data Scientists Set To Scale Up In 2019

We’re at a unique time in our history, in which there are more jobs available than people to fill them. Major employers are looking at apprenticeships, free degrees, or simply abandoning degree requirements altogether. There is one field, however, which affords candidates a range of industries, apprenticeship opportunities, and advancement like no other field before. Data. Much like the freshman congress just entering the House of Representatives, Junior Data Scientists are at a distinct advantage as we enter 2019. If you’re a Junior Data Scientist interested in advancing your skills and seeing where it can take you. This is your year.  Careful at the Curve Like many changes which seem to happen both too quickly and not quickly enough, there will be a learning curve in 2019 and in the years to come. It will be felt by everyone; business and data professional alike, but it’s important to realize that like all growing pains in regard to change, things will get better.  The talent shortage, particularly in the US, as of August 2018 was estimated to be 151,217. Places like New York City, Los Angeles, and San Francisco felt the brunt of this shortage. This skills shortage affects everyone and could strain a company’s ability to deliver, unless there is a strong scaling strategy in place.  It’s at this crossroads, the prevalence of Junior Data Scientists can help bridge the strain. However, too much too fast could also lead to potential misinterpretation of data causing some to fall short on their ROI. Part of learning is making mistakes and being aware there is a learning curve as Senior and Junior Data & Analytics professionals work together toward the company’s common goal. According to LinkedIn’s Workforce Report for January, hiring has been moderate with a 4.1% increase over that of December 2017. In the continuing pulse of the Fourth Industrial Revolution, tech skills still reign. Soft skills, though, are increasingly in demand as everyone levels up to keep up in regard to business management skills, strategy, and digital transformation across enterprise endeavors. So, what are some ways to maximize your opportunities. Below is a quick overview: Skills for the New Year, New You Tech Skills  Artificial Intelligence, Machine Learning, and Data Visualization are a few of the top skills needed in the new year. Language processing skills and knowing which tools are best for which problem e.g. Python, SQL, R, Excel and Scala. Data storage, optimization, and modeling can help lay formulate strategy by knowing where data is, the best data to use, and what it can do to create information for actionable insights aligned with business practices. Quantitative and Predictive Analysis, and Software Development are additional building blocks for skills-based knowledge for any data professional. Business Management Skills Strategy, vendor management, change management. Not only are tech skills important, but as the business landscape itself changes and c-suite executives level up their own data and digital transformation skills, it’s important for Data Scientists to do the same. They should understand the business sector they’re working in so they can create solutions to complex problems which align with their company’s objectives, goals, and logistics. Communication Skills  It can be all too easy to get caught up in the minutiae of detail and work singly on a project, but it is here communication becomes key as it helps bring in other departments to help analyze the data correctly. These departments may include those in a non-technical field such as marketing, and the data professional must be able to clearly and fluently translate their findings.  Evaluate how your goals and skills align. Find others who have a similar mindset, but be open to new opportunities. You never know what skills you might inherit when you branch out of your comfort zone. Create Your Own Curriculum for Lifelong Learning Opportunities Practice deliberately, build your own project, give and get feedback on your work, and track your progress.  The Future So Far… In general, the Data Science job outlook continues skyward as vast amounts of data requires skilled professionals to clean it, and determine how and why it’s going to be used. Someone must be able to unravel this information to not only increase its value, but be able to explain what they’ve learned in plain language to non-technical professionals, business executives, and in many cases board and/or stakeholders. If you’re interested in Big Data & Analytics, we may have a role for you. We specialize in Junior and Senior roles. 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.

Kristianna Chung

16. January 2019

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.

McElla Pappas

21. November 2018

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