About the Company

We are a technology-focused organization that uses data, advanced analytics, and digital innovation to improve business performance and customer experiences. Our teams work collaboratively to transform complex datasets into meaningful insights, enabling informed decisions and sustainable business growth.

As we continue to expand our analytical capabilities, we are seeking a Data Scientist who can develop predictive models, identify emerging trends, and translate data into actionable business recommendations.

About the Role

As a Data Scientist, you will work with structured and unstructured datasets to develop statistical models, conduct exploratory analysis, and deliver predictive insights that support product development and strategic decision-making.

You will collaborate with data engineers, software developers, product managers, and business stakeholders to identify analytical opportunities and develop solutions to real-world problems. The ideal candidate combines strong statistical knowledge with practical programming skills and the ability to communicate technical findings clearly.

Key Responsibilities

• Analyze large datasets to identify trends, relationships, anomalies, and opportunities for business improvement.
• Develop and validate predictive models using statistical techniques and machine learning algorithms.
• Perform exploratory data analysis, feature engineering, and data preparation.
• Apply regression, classification, clustering, and forecasting methods to business problems.
• Develop customer segmentation, behavioral analysis, and performance prediction models where relevant.
• Design experiments and evaluate outcomes using appropriate statistical methods.
• Communicate findings through reports, dashboards, visualizations, and presentations.
• Collaborate with data engineers to improve data availability, quality, and analytical readiness.
• Work with product and business teams to translate requirements into measurable analytical objectives.
• Monitor model performance and recommend improvements as business conditions and datasets change.
• Maintain reproducible analytical workflows, documentation, and version-controlled code.
• Follow responsible data practices, privacy requirements, and applicable governance standards.

Requirements and Qualifications

• Bachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline.
• At least 3 years of relevant experience in data science, statistical modelling, or applied analytics.
• Strong proficiency in Python and SQL.
• Experience with data science libraries such as pandas, NumPy, scikit-learn, and SciPy.
• Solid understanding of probability, statistical inference, hypothesis testing, and experimental design.
• Practical experience developing, evaluating, and interpreting machine learning models.
• Familiarity with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.
• Understanding of feature selection, model validation, cross-validation, and performance metrics.
• Experience working with cloud-based data environments or modern analytical platforms is an advantage.
• Ability to explain complex analytical concepts to non-technical stakeholders.
• Strong problem-solving skills, attention to detail, and a structured approach to analytical work.
• Professional proficiency in English; Estonian language skills are an advantage where relevant to the role.

What We Offer

• Competitive salary based on experience and qualifications.
• Flexible working arrangements within Estonia.
• Opportunities to work on meaningful analytical challenges and business-critical projects.
• Access to modern data platforms, analytical tools, and machine learning technologies.
• Professional development opportunities, training, and relevant certification support.
• A collaborative environment that encourages knowledge sharing and evidence-based decision-making.
• Opportunities to develop specialized expertise and progress into senior or lead data science positions.
• Paid annual leave and employment benefits in accordance with company policy and applicable Estonian law.

Application Process

Interested candidates are invited to submit their CV and a brief overview of their experience in statistical analysis, predictive modelling, and data science projects. Applicants may also include a portfolio, GitHub profile, or examples of relevant work where available.

Applications will be assessed based on analytical expertise, programming ability, practical experience, and alignment with the responsibilities of the position.

Join our team and turn complex data into insights that drive better decisions and measurable business outcomes.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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