Senior Applied Data Scientist

Senior Applied Data Scientist

Job family Data & Analysis

Sub family Applied Data Science

Career band Associate – G3

WHY I DO MY JOB | Job purpose

To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and make recommendations that resonate with clients and lead them to action.

WHAT I DO | 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 modeling the re-use & further development of global solutions or code written by others.

⦁ Deploy, and mentor the team to deploy, data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.

⦁ Lead and execute projects that distil complex problems into compelling insights that resonate with clients and lead them to action.

⦁ Spot 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 call 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 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.

HOW I DO MY JOB

Qualifications

DESIRABLE Master’s degree or equivalent in in Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, Physics, Engineering or related field.

Programming experience on any standard data mining and modelling packages such as Python and R.

Experience of applying advanced statistical models and machine learning algorithms to solve a variety of complex problems.

ESSENTIAL Bachelor’s degree or equivalent in Mathematics, Economics, Applied Statistics, Computer Science, Physics, Engineering or related field.

Experience focussing on the practical & pragmatic use of data and a passion for connecting your work directly to the customer experience, making a real and tangible impact.

Experience with handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL / Python.

Functional skills

GENERIC FUNCTIONAL SKILLS LEVEL SUB FAMILY SKILL LEVEL

Business and Commercial Acumen I Analytical Techniques I

Change Management I Desk Research I

Project Management A Statistcal Modelling I

Data Analysis and Modelling I Client Relationship Building & Management I

Stakeholder Management I Presentation Skills I

Financial Analysis I Product Management I

dunnhumby Capabilities and Solutions I New Product Development A

Coaching I Quality Assurance and Testing A

People Management I Software Development (Agile, Code Merge) A

Data Interpretation and Insight Analysis A

Data Visualisation A

Insights Storytelling A

Problem Solving and  Hypothesis Thinking A

Pyspark, Linux, NumPy/Pandas, Gitlab E

Prototyping E

Code Management Tools (Git) E

Programming (Python, SQL …) E

A – Advanced, I – Intermediate, E – Elementary. Please refer to Functional Skills Framework for definitions of Skills and Levels.