Dojo

Lead Data Scientist

Job description

We're all here for a reason.

Dojo exists to empower businesses to thrive in the experience economy. In an increasingly digital world, we harness technology to create tools that turn transactions into meaningful relationships.

Here, we go home knowing we've made a difference. We lead the way with a product that reaches millions of people daily. We make bold moves to shape an industry where disruption is long overdue. We do it for our customers, their customers and each other. And crucially, we do it for ourselves. To solve problems and make tomorrow better than today.

Everyone at Dojo is here for a reason—every single brilliant one of them. Curious, relentless and customer-obsessed, we're united by our shared ambition to help businesses do more. And through this high-performance excitement, we grow - it gets us up every day (that and our in-house baristas).

So if you're ready to jump in feet first to an ever-evolving business and embrace the candour it takes to develop, then climb in and buckle up.

The Role

If you’re the kind of person who loves to develop novel data-science-driven solutions which have a game-changing impact on our business and products that touch millions of people every day, this is the role for you. At Dojo, the data team is moving into an exciting new phase and you will have the opportunity to play an important role in its development, working at a senior level in the team and shaping how we deliver projects. We want you to bring your expertise with technology and experience of solving commercial problems into an environment where you’ll be working alongside other experts in both domains to scale our processes and make smarter decisions.

What you will do…

Leadership:

  • As a Team Leader, you will translate data science vision and strategy into execution.
  • You will build a strong team within your area, by coaching and developing Individual Contributors.
  • You will be able to prioritize work depending on business needs and keep stakeholders aligned at all times
  • You will take ownership of and understand the goals and objectives of supporting business partners, translating them into DS requirements/framework.

Technical:

  • You will drive implementation and deployment of complex projects within their scope
  • You will work closely with team members to ensure data quality, provide technical and tactical support, remove roadblocks and provide active support
  • You will drive actions from stakeholders leveraging strong data visualization and storytelling skills

Communication:

  • You will be the advocate of data science with your main stakeholder(s)
  • You will work closely with other internal entities to ensure your team is always working towards what’s most important for our customers whilst achieving high (measurable) business impact
  • You will ensure clear and effective communication to stakeholders: proactively keeping all stakeholders informed of what’s happening, upcoming changes, projects, issues, etc.

What you will bring…

Ideal:

  • Experience solving problems using data mining techniques and with statistical rigour
  • Ability to coach and mentor team members on the best tools and techniques to tackle their challenges, or guide them to experts in the area.
  • Ability to build a strong team within your area, designing and iterating team processes, and maintaining a healthy, collaborative and open culture.
  • Strong stakeholder management skills
  • Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.
  • Strong knowledge of Statistical Methods (e.g. Testing, GLM, Inference), Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Neural networks, Regularisation, Bagged/Boosted methods), Time Series, Natural Language Processing etc
  • Strong knowledge of data management (engineering, data pipelines, workflows)
  • Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling

Preferred:

  • Master degree, PhD, or equivalent experience in a quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar)
  • Experience in GCP or AWS
  • Experience in a relevant domain or industry

Benefits:

For your growth - Linkedin Learning and Culture Amp

For your network - Social Clubs, Communities, Annual Celebrations, Mobfit cook-a-longs, #stayconnected slack channels and more

For your mind - Employee Assistance Programme, Mental Health Channels and our #time-to-talk slack channel

For your fitness - Fitness classes onsite (currently online) including Yoga, barre, HIIT, boxing etc

For your security - Life Insurance, Enhanced Parental Leave, Pension Plan

For your pocket - Season ticket and parking loans, cycle to work scheme and discounts on car insurance, beauty products, electronics, cinema tickets, groceries and more.

Diversity & Inclusion

We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, neurodiversity or disability - whoever you are, if you’re curious, relentless and customer-obsessed, we want to hear from you.

For Recruitment Agencies

We do not accept unsolicited CV, biography and/or other candidate material received from any third-party recruitment agency or organisation under any circumstances without the prior written approval of a member of our Talent Acquisition team.

Please do not contact us with unsolicited submissions as they will not be recognised by us for the purposes of 'ownership' of any candidate.

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