Senior Data Scientist - Commercial/RTM

Company:
Location: Edinburgh

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We're a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there's still an exciting journey ahead of us. Do you want to join us?

Senior Data Scientist

We are seeking a Senior Data Scientist to join our Data, Analytics & Architecture organisation, to help us in providing the business with models and insights that inform our decision-making and support our routes to market. We are looking for someone with experience of advanced analytics and ML models - particularly scoring, attribution, and forecasting - to join us. You will have the opportunity to work with data analysts, data scientists and data engineers on solving problems that ensure we pursue the very best business outcomes. You will collaborate with stakeholders including Product, Commercial, Engineering and Legal to develop, deploy and maintain innovative models at scale that tackle some of the most interesting operational problems within our business.

To succeed in this role you will have a strong technical background as a Data Scientist, an adaptable mindset, and excellent knowledge of the interface between data science and engineering. You should have the ability to translate complex outputs into business insights, and you must enjoy interacting with stakeholders to share and interpret the outputs of your work. Prior knowledge scoring models and forecasting would be a big plus, as is experience of working in an interdisciplinary team.

In your role:

  • You will be involved in some of our most exciting Data Science projects: from pattern recognition and trend analysis through to scoring models and forecasting
  • You will be joining a small team of Data Scientists in the same business area, and working cross-functionally to deliver results
  • You will deliver the Data Science component of key strategic projects, focussed in our Routes to Market area
  • You will engage with both technical and non-technical stakeholders
  • You will own, maintain and deploy production-ready advanced analytical and ML models
  • You will analyse data to help us understand the business
  • Using your existing knowledge of model deployment and maintenance, and working with ML engineers, you will develop and maintain the analytical models needed within our technical commercial teams
  • You'll be joining a friendly, international, team of like-minded people in central Edinburgh

We are looking for:

  • Experience with analytical and quantitative problem solving using advanced statistical techniques and ML methods for online content, e.g. sequence analysis, forecasting, trend analysis, scoring (retention, attribution)
  • Proven ability to deliver technical projects to a commercial organisation
  • A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree
  • Experience in building and deploying advanced analytical & ML models at scale, and strong data engineering skills
  • Ability in Python, R & SQL for data manipulation, modelling and scripting
  • Experience of delivering production-ready code
  • Experience of working with large datasets. Knowledge of the data generated by websites or in the eCommerce sector, behavioural analytics, and experience of working with data from commercial systems (e.g. Salesforce) is a big plus
  • Knowledge of data pipelining (e.g. via Airflow) and prior experience of cloud-based ML model deployment
  • Great communication skills - both with technical colleagues and with business stakeholders
  • Several years of relevant technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy.

We offer:

  • 20% time - be the most innovative you can be and work on anything you'd like!
  • The opportunity to be a key part of an exciting international growth journey
  • The opportunity to work with leading data engineering technologies including Google BigQuery, Airflow and AWS, and with leading Data Science tools and emerging technologies for model building and deployment
  • Opportunities to learn from the best and develop your career in a friendly, international, workplace
  • Regular hackathons

About Trustpilot

At Trustpilot, we're passionate about our mission to offer a free and open to all review platform, built on collaboration. For consumers, we're a place to connect with and influence businesses. For companies, we're a platform for progress; a way to improve and innovate by engaging and collaborating with consumers. Working here is an opportunity to collaborate with talented and dedicated people in a rapidly growing, fast-paced and agile environment.

With vibrant office locations all around the world and over 40 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. We work hard every day, but we also take the time to catch up with colleagues over a game of ping-pong, a cup of coffee or maybe grab a beer after work.

Trustpilot is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Trustpilot is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Trustpilot are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Trustpilot will not tolerate discrimination or harassment based on any of these characteristics. Trustpilot encourages applicants of all ages.

Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.

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