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Statistician

About Agreena

Agreena is an exciting, dynamic, and purpose-oriented organisation united in a mission to mobilise farmers and corporations to unlock the value of nature and help restore the planet. While we’re rooted in agriculture, finance, and technology, our team of experts range from soil carbon scientists and software developers to market strategists and regulatory affairs experts. Over 160 employees across more than 30 nationalities are gathered under the common Agreena flag – either working from our headquarters in Copenhagen, offices in London, or remotely across Europe.

As a rapidly scaling climate agtech, Agreena provides solutions that drive both environmental and financial sustainability in farming. We have helped farmers across 20 countries in their journey from conventional agriculture to regenerative farming practices to reduce greenhouse gas emissions and remove CO2 from the atmosphere, storing it in soil. Our company offers a supportive and positive work environment with opportunities for learning, leading and growth no matter where you are in your professional journey. We believe in giving our employees a lot of responsibility, and we encourage new thinking, innovation and fun.

We are looking for an in-house statistician to assist our Programme and Data teams. Across both, we are looking to better understand and explain our data in order to bolster our scientific rigour. You will sit between both teams and should be confident working with different types of statistical analysis, process-based modelling, and sampling/stratification.

Equally, you should have a good understanding of statistical modelling and bring a fresh perspective to our machine learning and process-based approaches. Thus, you will be a strong communicator capable of translating complex analysis into simplified insights to both internal and external stakeholders. 

The Programme and Data teams are integral to the scientific operations of the company, and you will work closely together with them and our Product teams to ensure state of the art science drives our world leading carbon platform. As such, you will be part of a dynamic and high-paced work environment constantly subject to innovation.

How will you make an impact: 

  • Estimating uncertainty and error propagation in our models;

  • Applying Bayesian methods for the calibration of complex process-based models;

  • Designing sampling strategies for our data collection campaigns;

  • Evaluating the quality and quantity of our data;

  • Communicating and visualising key insights;

Who we’re looking for: 

  • Self-driven individual capable of collaborating in a multi-disciplinary environment;

  • Minimum Bachelors in Statistics, Mathematics, or appropriate science/engineering field;

  • 3+ years of experience working in a relevant field, with experience in some or all of the following:

  • Statistical and data-sampling techniques such as regression, imputation, random forest, Monte Carlo, stratification, and/or clustering;

  • Working with temporal and spatial data;

  • Experience coding in R; 

  • Strong scientific writing, report creation and communication skills to audiences with a range of technical expertise.

Bonus points if you have:

  • Masters or PhD in one of the relevant Science fields mentioned above;

  • A baseline understanding of greenhouse gas accounting frameworks and methodologies;

  • Strong theoretical background in Bayesian Statistics;

  • Knowledge or experience working with crop, pedometrics, or process-based models;

  • Experience coding in Python;

  • Handling unstructured/imbalanced data.

What’s in it for you: 

  • A unique opportunity to join and help shape a fast-growing tech scale up with the determination and ambitious mission to reverse climate change;

  • A truly global environment where you can collaborate and socialise with diverse and passionate colleagues;

  • Competitive compensation package and holidays;

  • Centrally located modern office in Copenhagen or London and the option to work from home a couple days a week; 

  • Team events throughout the year;

  • An exciting purpose-led culture and mission;

  • Open communication and supportive feedback culture.

🌱 Not quite what you're looking for?

Stay connected with us by following our Agreena LinkedIn page. It's the best way to stay updated on our latest content, articles, and exciting new opportunities.

Plus, if you want to be the first to know about job openings in the departments you're interested in, you can subscribe to our job alerts talent pool.

🌍 Be your best self every day at Agreena

At Agreena, we are devoted to building an environment that promotes equality, inclusion, and diversity. As we embark on our journey of expansion and growth, we recognise the value of celebrating and embracing everyone's uniqueness. This diversity is crucial to our success and innovation. We aspire to build a product that is loved by our customers and we want the same to be reflected in our teams. 

With this in mind, we're dedicated to ensuring that Agreena remains a welcoming and diverse environment for all.

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Average salary estimate

$70000 / YEARLY (est.)
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$60000K
$80000K

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What You Should Know About Statistician , Agreena

At Agreena, we're on a mission to unlock the value of nature for farmers and corporations while helping to restore the planet. We're currently looking for a skilled Statistician to join our Program and Data teams in Copenhagen. In this role, you'll play a key part in enhancing our scientific rigor by translating complex data analyses into clear insights. With a welcoming and innovative work culture, you'll collaborate closely with our diverse team, including soil carbon scientists and software developers. Your expertise in statistical methods will be crucial as you estimate uncertainties and apply Bayesian methods to calibrate our state-of-the-art process-based models. You'll design effective sampling strategies and strive to improve the quality of our data. Your statistical modeling skills, along with passages of process-based coding in R or Python, will provide fresh perspectives to our machine learning approaches. We're a company that values self-driven individuals who thrive in a fast-paced, multi-disciplinary environment and who possess strong communication skills. In return, you’ll gain an impactful role in a rapidly scaling climate agtech company dedicated to reversing climate change, along with plenty of opportunities for learning and growth. Join us at Agreena, and let's make a positive impact together!

Frequently Asked Questions (FAQs) for Statistician Role at Agreena
What responsibilities does a Statistician at Agreena have?

As a Statistician at Agreena, you will be responsible for estimating uncertainties and error propagation in our models, applying Bayesian methods for calibration, and designing effective sampling strategies for data collection. Your role will also include evaluating data quality and quantity, along with communicating and visualizing key insights to help continue our mission of restoring the planet.

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What qualifications do I need to apply for the Statistician position at Agreena?

To apply for the Statistician position at Agreena, you should hold a minimum of a Bachelor's degree in Statistics, Mathematics, or a related field, with at least 3 years of experience in a relevant environment. Proficiency in statistical techniques, coding in R, and strong communication skills are also essential to excel in this role.

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What skills are essential for a Statistician at Agreena?

Essential skills for a Statistician at Agreena include a strong understanding of statistical and data-sampling techniques, experience working with temporal and spatial data, and coding experience in R. Additionally, strong scientific writing, report creation, and the ability to communicate complex insights to a diverse audience are crucial.

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How does the Statistician role support Agreena's mission?

The Statistician role is integral to Agreena's mission by ensuring our scientific operations are robust and credible. By applying complex statistical analyses and fostering clear communication of insights, you help drive innovative solutions that support our efforts in mobilizing farmers towards regenerative practices and combating climate change.

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Is remote work an option for the Statistician position at Agreena?

Yes, at Agreena, we promote work-life balance and flexibility, allowing our employees to work from home a couple of days a week. With a centrally located modern office in Copenhagen and a supportive team environment, you’ll have the opportunity to engage with colleagues both in person and remotely.

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Common Interview Questions for Statistician
Can you describe your experience with statistical analysis?

In answering this, focus on specific techniques you've used, such as regression analysis or Monte Carlo simulations, and provide examples of how they contributed to previous projects, particularly in driving decisions or insights.

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How do you handle errors and uncertainties in your statistical models?

Discuss your approach to identifying sources of error, how you apply Bayesian methods or other techniques to estimate uncertainties, and how this influences decision-making in your work.

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What programming languages are you proficient in, and how have you used them in past projects?

Mention your proficiency in R, Python, or other relevant languages, giving specific examples of projects where you applied these skills, particularly in data analysis or modeling.

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Describe a time when you had to communicate complex statistical information.

Provide an instance where you simplified technical details for a non-specialist audience, emphasizing your communication strategies and the impact this had on the project or decision-making.

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How do you prioritize tasks when working on multiple projects?

Explain your time management strategies, such as using project management tools or prioritizing based on deadlines and project impact, while ensuring the quality of your work in a fast-paced environment.

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What methods do you use for data collection and sampling strategies?

Detail your experience with designing sampling strategies, describing approaches such as stratification or random sampling, and why you chose them for specific projects based on data types.

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How do you stay updated with the latest advancements in statistical methods?

Share your strategies for continuous learning, such as attending workshops, following relevant literature, participating in online communities, or engaging with professional networks.

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Can you explain Bayesian statistics to someone without a technical background?

Provide a simple explanation that outlines the core concepts of Bayesian statistics, perhaps using a relatable analogy, and highlight its relevance to real-world applications.

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What challenges have you faced in your previous roles, and how did you overcome them?

Discuss a specific challenge related to data accuracy or project delivery, elaborating on the steps you took to resolve the issue and what you learned from the experience.

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Why do you want to work at Agreena as a Statistician?

Express your alignment with Agreena's mission to combat climate change and your enthusiasm for working in a collaborative, innovative environment focused on sustainability and global impact.

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Full-time, hybrid
DATE POSTED
March 29, 2025

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