Who you are
You are likely a Head of Data & Analytics, or Chief Data Officer, with 7+ years’ experience crafting, developing, and deploying data solutions – a true practitioner.
In this vein, we expect you to have failed. And to have seen the good, the bad, and the ugly of data science – and to have created a few monsters yourself! After all, data science is a craft. But, you’ve learnt by experience. Honing your skills. Creating efficiencies. Collaborating and learning from others. All with a view to striking a balance between what is practical today, versus, what might be needed tomorrow.
You will use these years of experience to deliver commercial solutions, and practical insights that enable our clients to unlock the economic value of data in the short and medium term. This will be achieved through your ability to engage and hold senior-level conversations, write compelling reports, and craft recommendations – all of which are underpinned with best practice, well-constructed investment plans, and years of pattern recognition.
The skills you have
As a Senior Data Associate, you will:
lead client engagements, working closely with client teams and your DataDiligence colleagues to identify client issues and use data to propose solutions for effective decision making, automation, augmentation, etc.
craft & deliver data strategies that effectively add value – economic, strategic, and operational – to our clients and oversee successful implementation, typically in the role of interim CDO or PMO lead (we affectionately call this ‘air traffic control’).
sometimes build, and certainly assess algorithms, plus design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organisation
use machine learning tools and statistical techniques to solve business problems
test data science, machine learning, and analytical methods and models to select the most appropriate ones for use on a project
maintain clear and coherent communication, both verbal and written, to better
understand data needs and report results
listen hard
create clear, well-structured reports and proposals that articulate compelling stories about how clients work with data, using DataDiligence’s frameworks
horizon scan to stay up to date with the latest technology, techniques, and methods
conduct research from which you'll recommend proof of concepts, mvp, v1.0, etc for client use/advise
stay insanely curious and enthusiastic about using data to solve business problems and enthuse others to see the benefit of your work
identify, document, and communicate insights, some of which will also be used to create and maintain marketing plans and collateral - including web updates, social media campaigns, industry events, etc.
In this leadership role, you will also need to:
recruit, train and mentor data associates and other colleagues
show meticulous attention to detail; self-review and review the outputs of others
contribute to the organisation's overall strategy
be adaptable, well-organised, and able to relate to and grow the team around you
establish new systems and processes and look for opportunities to improve the flow of data within DataDiligence
evaluate new and emerging technologies
represent the company at external events and conferences
build and develop outstanding ‘client hands’ and relationship building skills
turn complex problems into simple stories and explanations with your excellent analytical and problem-solving skills
The qualifications you have
You'll likely have a post-graduate degree in a computer science, mathematical or science-based subject. The following degree subjects are particularly interesting to us:
computer science
data science/computer and data science
engineering
mathematics
mathematics and operational research
physics
statistics.
We also expect you to have deep, hands-on experience with data analytics, data science, data engineering, machine learning or similar.
What to expect
DataDiligence, and data science more broadly, is highly collaborative. We love to share ideas, insights, and methodologies. You will be expected to share concepts and solutions with the team.
Data science embraces ambiguity, iteration, and continuous improvement. As a small business, we work on the same principles.
Our clients are often businesses of size but, don’t necessarily have advanced data capacity in-house. So, we frequently play a role of educating people and teams to the benefits of big data and analytics, plus proactively transfer skills – thus working ourselves out of clients. This also means that you should expect to be a data ‘cheerleader’ and economic-value advocate.