Are you ready for a new beginning?We need your talent, knowledge and dedication to better our world with biology.Our purpose points the wayIn Novonesis, we know that solutions rooted in biology can help solve humanity's biggest challenges. Since we began more than a century ago, this has been our guide. It's how we've gotten so far. And it's how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless.We're here to better our world with biology.We are looking for a Data Scientist to support Technical Services LATAM by transforming laboratory, field and customer data into actionable insights. This role strengthens data-driven decision-making through advanced analytics, statistical modeling, and predictive tools that improve experiment efficiency, troubleshooting, and productivity. This position supports capability‑building by training the team on new digital tools and best practices. Additionally, it contributes to managing the solution innovation pipeline supporting the success of the regional growth strategy.Key ResponsibilitiesAnalyze large experimental datasets and generate clear insightsBuild and validate predictive models and statistical tools (DoE, regression, multivariate analysis)Develop dashboards and visualizations to support TS decision-makingClean, structure, and manage scientific data for analysis and modelingCollaborate with TS specialists to translate challenges into analytical solutionsWork with global digital/data teams to deploy tools and share best practicesApply statistical techniques (DoE, hypothesis testing, regression, experimental design).Support the development of predictive models and machine learning approaches for TS applications.Provide actionable insights that improve experiment planning, resource allocation, and business value generation.Increase the penetration and adoption of digital and AI tools across TS Planetary Health LATAM.Communicate findings clearly to technical and non‑technical stakeholdersRequired QualificationsMaster's degree or higher in Data Science, Statistics, Bioinformatics, Biotechnology, Biology, Chemistry, or similarStrong skills in Python or R, statistics, and machine learningExperience working with scientific or experimental datasetsKnowledge of SQL, data visualization, and analytical toolsStrong communication and stakeholder collaboration skillsPreferred (Nice to Have)Benchling or similar systemsData governance knowledgeML frameworks (scikit‑learn, TensorFlow)Cloud/ETL familiarityExposure to big data architecturesExperience training users or supporting digital adoptionBackground in industrial biotechnology or Technical ServiceCould our purpose be yours? Then apply todayAt Novonesis we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We recommend you not to attach a cover letter to your application. Instead, please include a few sentences in your resume/CV about why you are applying. To ensure a fair recruitment process, please refrain from adding a photo in your resume/CV. Novonesis is dedicated to fostering a unique community by embracing and respecting differences. We make all employment decisions based on business needs, ensuring that every individual can thrive, regardless of identity or background such as ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.Want to learn more?Learn more about Novonesis, our purpose, and your career opportunities at Not the right fit for you?Even if this job isn't the right fit for you, perhaps you know someone who might find it interesting. If so, please feel free to share the job link and encourage them to apply. Thank you for your referral Please check out our other open positions. The right fit for you could just be a few clicks away.Stay alert: Avoid recruitment scamsAt Novonesis, we are committed to maintaining a safe and transparent recruitment process. Please be aware of potential scams targeting job seekers and take note of the following:Novonesis will never ask for sensitive personal information, such as bank account details, Social Security numbers, or passwords, at any stage of the hiring process.Novonesis does not make employment offers without conducting interviews with candidates.If you receive suspicious communication claiming to be from Novonesis, please do not share any personal or financial information. We encourage you to verify the legitimacy of the message by contacting us directly through our official channels.