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Senior Data Scientist, Experimentation

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HelloFresh

25d ago

  • Job
    Full-time
    Senior Level
  • Data
    Science
  • £116.3K - £155K
  • New York City

AI generated summary

  • You must have MSc/Bachelors in scientific discipline with strong focus on experimentation, 5+ years data scientist experience, advanced statistical expertise, Python/SQL skills, proven project leadership, strong organizational/communication skills, and data visualization proficiency.
  • You will design, oversee, and analyze experiments to measure marketing impact, suggest innovative approaches, develop causal inference models, lead end-to-end projects, translate insights into business recommendations, and mentor junior Data Scientists.

Requirements

  • MSc / Bachelors (preferred in a scientific discipline with a strong focus on experimentation and causal inference)
  • Minimum of 5 years of proven experience as a data scientist, with a demonstrated track record of successfully conducting A/B tests and experiments within a dynamic tech company, preferably in an e-commerce or direct-to-consumer business setting
  • Solid grasp of advanced statistical concepts (e.g., Bayesian statistics; sequential testing; multilevel and generalized linear models, double ML; timeseries; bootstrapping)
  • Practical experience with causal inference and experimentation, including experiment design and platform setup.
  • Expertise in Python and SQL, with direct experience working with very large datasets. Production-level modeling experience is preferred.
  • Proven experience leading data-driven projects from definition to execution, influencing business decisions and outcomes.
  • Practical experience in time series analyses, forecasting techniques, cohort and survival analyses.
  • Strong organizational skills, a sense of ownership and accountability, and the ability to lead projects independently.
  • Excellent communication skills with the ability to tailor messages to different audiences, from technical teams to executives.
  • Proficiency in building compelling stories through data visualization and narratives.

Responsibilities

  • Design, oversee setup, and analyze experiments to quantify the impact of marketing investments and to enhance our understanding of products.
  • Use your expertise in AB testing, marketing channel lift studies, and causal inference to suggest innovative approaches to experimentation and contribute to strategic decision-making processes.
  • Own the complete test design process, from sample size estimation through deployment, analysis and reporting while working hand in hand with channel managers/product owners and business strategy leaders.
  • Lead the development, deployment, and adoption of causal inference models to measure marketing campaigns, optimizing investments across short and long-term business objectives.
  • Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines.
  • Translate insights into relevant business recommendations, anticipating the needs of business stakeholders.
  • Act as a mentor, guiding and coaching junior Data Scientists in technical and storytelling aspects.

FAQs

What are the key responsibilities of a Senior Data Scientist, Experimentation?

A Senior Data Scientist, Experimentation is responsible for shaping the investment strategy through the design, analysis, and interpretation of experiments. They work closely with Marketing stakeholders to develop hypotheses, ensure robust test setups, and guide implementation of learnings for maximum impact. They also collaborate with marketing leadership and the data team to influence business strategies and performance.

We change the way people eat forever.

Retail & Consumer Goods
Industry
10,001+
Employees

Mission & Purpose

HelloFresh is on a mission to change the way people eat, forever! From our 2011 founding in Europe’s vibrant tech hub Berlin, we’re evolving from the world’s leading meal kit company to the world's leading food solutions group. We delivered 243.3 million meals and reached 7.5 million active customers around the world in Q3 2022. HelloFresh Group consists of six brands that provide customers with high quality food and recipes for different meal occasions. Every ingredient needed for our meals are carefully planned, responsibly sourced and delivered to your door when it’s most convenient for you. Only HelloFresh gives you the tools to achieve something delicious every day. Making a meal a delicious achievement - not just fuel for your day - takes a lot of work and smart people. From Designers and Copywriters to Data Scientists and DevOps Engineers, to potato farmers, pasta makers and the people who ensure every box is perfectly packed for every customer, we’re collectively disrupting the food supply chain and the multi-trillion-dollar food tech industry. Our more than 21,000 high-performing and ambitious employees across the globe from New York to Berlin, London to Sydney and Toronto to Milan enjoy a number of benefits including flexible working arrangements, discounts on our boxes, health and well-being and learning and development programs.

Culture & Values

  • Speed and Agility

    We make quick but informed decisions, we iterate and move faster than everybody else. We get things done here.

  • Data Drivenness

    We are data-driven because data is our vehicle to learn and to make decisions based on fact rather than gut-feeling.​​​​

  • Learning Never Stops

    We value those with a mindset that learning never stops, who always seek to better themselves and those around them, on both small and large scale.

  • Egoless Environment

    We operate in an egoless environment, where we want you to speak up and challenge the status quo.​​​

  • Relentless Prioritisation

    We stay laser focused and prioritise even if there are 100 things that require our attention.

  • Customer Centricity

    Whether we are designing new products or engaging with customers, we strive to keep their needs and interests at the forefront of everything that we do.​​​​​

  • Long-Term Orientation

    We build for the long-term. We move with speed and agility today to create a scalable and sustainable organization for tomorrow.