Data Scientist

About the Role

About The Role As a Data Scientist, you will be a technical co-owner of the data science team at Swap. One of Swap’s core values is ownership—the ability to bias toward action, think one step ahead of problems you might face, and generally just get things done—and this role is a shining example. The solutions you deliver and research you complete for the business health tools will directly contribute to our clients success in the form of predictive, AI driven insights on their business performance, inventory health, sales and return date.

The ideal candidate has a strong background in data science, statistics, and machine learning, with a heavy emphasis on using these tools to solve business problems. We’re looking for someone who can build, train, and deploy models, work directly with both technical and non-technical stakeholders to scope projects and adjust to new information on the fly, and learn about the areas they work in deeply enough to become an expert but quickly enough to deliver timely solutions. As a technical co-owner of the data science business health tooling, you will be expected to be able to speak about your technical solutions to stakeholders within the business, so communication skills are essential. We’re especially interested in candidates who, in addition to their technical background, have experience working directly with business stakeholders in fields such as customer success, finance, and sales, but that experience is not required. You should have experience building models that are used by people to make better decisions and used by organizations to drive key outcomes. We prefer iterative solutions that are incrementally better to a long-debated “perfect” solution.

Minimum Requirements

• Bachelor’s degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 4 years of work experience in analytics (minimum of 2 years with a Ph.D.).
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). 

The Ideal Candidate:

• We’re looking for someone who can build, train, and deploy models, work directly with both technical and non-technical stakeholders to scope projects and adjust to new information on the fly, and learn about the areas they work in deeply enough to become an expert but quickly enough to deliver timely solutions
• We’re especially interested in candidates who, in addition to their technical background, have experience working directly with business stakeholders in fields such as customer success, finance, and sales, but that experience is not required
• You should have experience building models that are used by people to make better decisions and used by organizations to drive key outcomes
• We prefer iterative solutions that are incrementally better to a long-debated “perfect” solution
• Experience working with stakeholders directly during the course of a project and managing stakeholder relationships
• Ability to write clean, intelligible code, including experience with data science tools and packages
• Enjoys the high-risk research aspect of data science and excited to learn from null or negative results and iterate to a better solution
• Demonstrated a measurable and sizeable impact with your data science work
• Strong experience analyzing data and making rigorous statements about what can or cannot be concluded

 Responsibilities

• The solutions you deliver and research you complete for the business predictive insights and recommendations will directly contribute to our customers success as well 
• Work directly with stakeholders across the business to understand business problems and scope data science projects that will solve those problems 
• Conduct research, build models, and ship solutions that make our forecasting system better, more reliable, and more user-friendly 
• Choose the right solution for the problem at hand rather than relying on “one-size-fits-all” approaches
•  Mentor team members through statistical and code reviews, helping them learn best practices and level up their own skills

What perks and benefits do we offer?

Competitive salary and employee share options

Remote working model with a Mac or PC company laptop (your choice!)

Competitive holiday allowance (plus public holidays)

Maternity/Paternity/Adoption Leave

Flexible working hours

Accelerate your learning potential working at a high-growth startup

The opportunity to work with a stellar team all around the world

What happens next?

• We’ll review applications and reach if we’re interested in taking your application further