[Hiring] Senior Applied Data Scientist @dunnhumby

Role Description

To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby’s remote work policy.

Key Accountabilities

• Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project.
• Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others.
• Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
• Identify opportunities to grow client engagement by proactively solving client’s strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action.
• Participate in client meetings as required to present methodology and solutions through effective story telling techniques.
• Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering.
• Ensure smooth running of your data analytics projects and support junior team members with their projects.
• Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards.
• Provide advice and support to colleagues to resolve challenges and support code reviews.

Qualifications

• Bachelor’s degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field.
• At least 4 years of experience in:
  • Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML.
  • Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks.
• At least 2 years of experience in:
  • Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python.
  • Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making.
  • Programming experience on any standard data mining and modelling packages such as Python and R.
  • Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems.

Benefits

• Comprehensive rewards package typical of a leading technology company.
• Personal flexibility, including flexible working hours and your birthday off.
• Investment in cutting-edge technology that reflects our global ambition.
• A nimble, small-business feel that encourages freedom to play, experiment and learn.
• A commitment to diversity and inclusion with thriving networks such as dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive.