Data Scientist jobs in United States

Company Description

We are champions of rail, inspired to build a greener, more sustainable future of travel. Enabling millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated Trainline mobile App, website, and B2B partner channels.

Great journeys start with Trainline

Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be.

Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based in offices across London, Paris, Barcelona, Milan, Edinburgh, Berlin, Madrid, and Brussels.

With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey!

Job Description

Senior Data Scientist London (Hybrid, 40% in office) £70,000 - 85,000 + Benefits

Introducing Data Science & Analytics at Trainline

Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded alongside Data Analysts in cross-functional teams which exist across product and marketing. Data Scientists have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal.

As a Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits.

Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact - as the data scientist on the team you will be actively driving innovation on the team by contributing to strategy, execution and continuous learning.

As a Senior Data Scientist at Trainline, you will...

As a Senior Data Scientist, you will be embedded within Trainline Partner Solutions (TPS), which is the B2B arm of Trainline that provides seamless rail travel solutions for businesses, travel retailers, and rail carriers across the UK and Europe. TPS also works to develop new technologies / products and is at the forefront of the rail industry, presenting opportunities to launch new products, work to develop product market fit and go deep with techniques like geospatial and graph analyses.

With a team of over a hundred technologists delivering daily data-driven product releases and platform updates, TPS prioritises scalability, security and above all else innovation. As sustainability becomes a key focus in travel, TPS is dedicated to making rail a more accessible and efficient choice for businesses and travellers alike.

As a Senior Data Scientist, you will be responsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will:

1. Develop deep understanding of our product experiences and opportunities for growth.
2. Actively contribute to roadmap and goals for the product team.
3. Drive regular cross functional team reviews to measure progress toward goals.
4. Discover and articulate new product opportunities helping shape the team's direction.
5. Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful.
6. Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles.

We'd love to hear from you if you have...

1. 5+ years commercial experience using data science and analytics to drive business decisions.
2. Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management.
3. Experience of product engagement evaluation and measurement of success. For example, running A/B tests to evaluate product effectiveness or using front-end data to quantify the effectiveness of new features and how it changes user engagement.
4. Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results.
5. Strong PowerPoint and presentation/communication skills.
6. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.
7. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable).
8. Tech Stack: SQL, Python, R, Tableau, AWS Athena + More!

Qualifications

Additional Information

Enjoy fantastic perks like private healthcare, a generous work-from-abroad policy, extra festive time off, and excellent family friendly benefits.

We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!

Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do:

• Think Big - We're building the future of rail
• Own It - We focus on every customer, partner and journey
• Travel Together - We're one team
• Do Good - We make a positive impact

Interested in finding out more about what it's like to work at Trainline? Check us out on LinkedIn, Instagram and Glassdoor.