Statistical Modelling jobs

Statistical Modelling 


Statistical Modelling is where data from multiple sources is drawn together and scrutinized in depth to pull together key insights into behaviors or trends that can be utilized by businesses to aid growth.
The need for Statistical Modelling is vital as it is both descriptive and predictive. A strong statistical analyst will be able to understand why customers do the things they do and predict what they will do next, to ensure that business and marketing spend is allocated accordingly to increase ROI and business growth. 

Defining Focus


Finding the right match of candidate and client requires an insight that we at Harnham know is critical to nurturing an existing customer base and for new business acquisition.
We can fine tune the search and help create the right partnerships. Call us to find out how on 212-796-6070 or email info@harnham.com 

Latest Jobs

Salary

US$155000 - US$175000 per year

Location

Hartford, Connecticut

Description

Are you ready for the next challenge within your advanced analytics career?

Salary

US$160000 - US$200000 per year

Location

Richmond, Virginia

Description

Do you have a background in pricing or customer analytics, and have taken a company through a digital transformation?

Salary

US$115000 - US$130000 per annum

Location

New York

Description

This position requires you to build models in python or R and to look at in bound and out bound data!

Salary

US$125000 - US$155000 per year

Location

New York

Description

Are you a team manager who is still hands on and very passionate about sports?

Salary

US$125000 - US$145000 per annum

Location

New York

Description

Looking for a Senior Data Scientist to join an innovative healthcare company

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.

Machine Learning and Customer Experience for Business Scalability

Over the last four decades, we’ve feared change. Technophobia. Cyberspace. Smart devices. AI, Robotics and Automation. Each of these transformative shifts have changed our lives in one way or another. But there is a new, unexpected and desperately needed change already in play; putting the human back in our lives.  Human Resources. Human-centric customer service. Humans in cooperation and collaboration with smart technology. Both in B2B and B2C businesses, putting the human back in focus is imperative to success.  Consider Netflix. How it began, how it’s evolved, and how its efforts are seemingly leading the way for next gen personalization. Think: If you like this, then you may like (insert service or product here). Amazon does much the same. Putting the Human Element Back in CX When you call customer service with a concern or problem. What happens? Either there’s no phone number at all and you’re forced to send an email which you hope gets read by a person. Or if you do call, you push buttons trying to figure out which branch of the tree will get you to the correct person.  Chatbots have been one answer but they really only alleviate acknowledgement. We’ve all called a customer service number and spoken to two or more people about our issue. Bill Paterson, EVP of Salesforce, suggests a four-point, human-centric customer service engagement strategy, to help solve the problem.  In addition, his article takes a deeper dive into putting the human back in customer service. At the heart of the matter is putting Emotional Intelligence, care, and empathy back into the equation. Technology may be how people reach out, but it’s a human they want to speak to and connect with. When the two are paired, there’s a much better chance of success. And repeat customers. Pairing Machine Learning with a Human-Centric Touch While strategies and metrics still have a big role to play, there are other ways to measure customer success. Data gathered from your customers will only get you so far, but the human element, the human connection, supported by technology, is the next shift in Digital Transformation.  Machine Learning models can help predict what customers will want or need, but meaningful customer relationships are just as vital. It’s this pairing which can generate great service and scalability of today’s modern business. Though there is a strong underpinning of engineering components in building models, only a portion involves code. Much of the effort goes into the pipeline and workflow systems and infrastructure. It’s at this systems level, Data Scientists can focus on design and implementation of production. This strategy ensures that before building good models, a good foundation must be laid. One portion of this workflow has been called the ‘art of Machine Learning’. The ‘Art’ of Machine Learning  Data Scientists and Machine Learning Engineers have any number of ways to solve a problem. Dealing with such vast amounts of Data within a model is not unlike determining how to scale for a website which needs to handle large fluctuations in web traffic. The nuances of technology within the realm of human experience is an artform. Though in the future, most engineering challenges will be automated and open-source will be a go-to framework. As tools improve and ETL processes improve, ML Engineers and Data Scientists will get the opportunity to focus more on models and less on systems. But beyond the artform of experimentation and intuition is the growing trend for soft skills in tandem with technical skills. Those who can lead a technical team, who can communicate to non-technical professionals, and still have the Emotional Intelligence to navigate the human psyche. It’s these individuals who will be ready for the next step in leading businesses into the next generation of customer service.  Ready to take the next step in your career? Take a look at 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.  

Privacy Is Big Business For Small And Mid-Size Businesses

Privacy is Big Business for Small and Mid-Size Businesses

If you’re a small to mid-size business and think cyber criminals only go after big business; think again. It’s just as important, if not more important for you to have privacy plans in place. This goes way beyond GDPR and state-to-state rules, this is about how you care for your customers personal information. The return on investment will set the tone for future years of your business. After all, according to a 2018 report by Verizon, 58% of cyber-attacks targeted small business. While it may seem counter-intuitive and larger businesses are bigger fish to go after, they can be difficult to get into. After all, they’ve got the resources to protect their customer’s Data and are hyper aware of what it can be to their business if they don’t. Smaller and mid-size businesses generally don’t have the resources of the larger businesses, and may not focus on cybersecurity like they should which leaves their business wide open for cybercriminals. Chinks in the Armor of Your Data Cybercriminals excel at finding “chinks in the armor” of your Data. They’ll use any advantage to break in from the usual hacking and malware to physical breaches. One improperly secured device can be just the entry they need into your entire system.  What can you do? Be focused in your approach to Data security. Many small businesses tend to put out fires, rather than have a focused strategy. And each approach to tighten security can lead to more opportunity for hacking.Communicate your strategy to every member of your team. Something as small as clicking on the wrong link can lead to a Data breach.Train your staff on measures they can take such as to not click on a link they’re not expecting, to check email addresses and ensure they’re approved or white-listed as okay to access. The more aware your staff are, the better able they’ll be able to help ensure the security of your business’ Data. While staff may be on the front lines, this also requires a commitment from senior executives as well. Understand that just because you’re not dealing in billions of dollars, you may actually be at greater risk. Why? Because unlike the larger companies, your business may not survive the fallout of a cyber-attack. How to Protect Your SMB You can protect your business by creating a Data Security Strategy and consider the following: Encrypt your data;Authenticate your users by either a 2-step verification process or having them enter some kind of code;Authorize access to trusted sources. Encrypting Data helps protect the private and sensitive information and makes it unreadable without the correct key. To ensure only those who are trusted sources have access is through authentication.  Authentication can include username/password, code, tokens, phone number, and image association such as click only the boxes with pictures of street lights or stop signs. This helps your business control who has access and gives you tighter rein over who sees sensitive information and what they can do with it.  By defining the rules and regulations of access to information, training your employees to be aware and what to do to ensure security, you can strike a balance of increased security and transparency to your customers. In other words, the efforts you go through to protect their Data will put you ahead of the competition as you make inroads toward a Data privacy strategy while others take action as things happen. One Final Thought Ensuring your business’ Data is protected and detecting times when it may have been breached is increasingly important to help minimize damage. One issue SMBs face is that it may take longer to detect if there isn’t a Data security plan in place. The more quickly you can detect an issue, the more quickly you can reduce its impact and the more quickly and effectively you can respond, the better.  Interestingly, smaller businesses tend to have a better overall picture of their assets than larger businesses. This can be a boon when you communicate your new cybersecurity strategy to your teams and offers a significant return on investment of your resources. If you’re interested in Big Data and Analytics, we may have a role for you. Take a look at 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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