Careers

R&D Data Scientist  

Reporting To:  Head of R&D 

Level: Mid-level

Location: Kyiv, Ukraine preferred but not limited

Overview:

About Cloverpop: Cloverpop is a pioneer in Decision Intelligence technologies, transforming enterprise decision-making through our industry-leading platform. At Cloverpop, we merge the “art” and “science” of decision-making by equipping enterprises with the ability to model, orchestrate, automate, and learn from their most mission-critical decision processes. Our technology bridges the gap between data and decisions, removing human biases, increasing stakeholder buy-in, and driving decision speed and quality.

Founded by experienced entrepreneurs and thought leaders in decision intelligence, behavioral science, AI, and the future of work, Cloverpop empowers companies to make smarter decisions faster. We are proud to serve Fortune 100 companies across consumer goods, pharmaceuticals, retail, and technology, all of whom rely on our platform to reshape how they approach critical decisions. Join us as we lead the way in Decision Intelligence and revolutionize how businesses operate in the digital era.

Role Description: 

We are seeking an experienced and innovative data scientist to join our team with a primary focus on automating decision-making processes in a wide range of business areas.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agentic systems. You will use advanced analytics and machine learning techniques, predictive analytics, and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations, and decisions.

Responsibilities:

Work with a team of AI experts, data scientists, engineering team, business analysts, and market researchers to create solutions helping Fortune 500 companies make strategic business decisions through providing insights and recommendations.

•  Identify valuable data sources and automate ETL processes of structured and unstructured data.
•  Analyze large and complex datasets from various sources to discover trends, patterns, and anomalies, and uncover actionable insights.
•  Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
•  Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
•  Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
•  Collaborate with decision success, engineering, and product development teams.
•  Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

Qualifications:

• Master’s degree in data science, computer science, statistics, mathematics, or a related field.
•  3+ years of relevant job experience.
  
•  Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Statsmodels, Tensorflow, PyTorch, etc.)
•  Familiarity with SQL and NoSQL databases, GitHub tools, and A/B testing frameworks is a big plus.
•  Good understanding of time series analysis and forecasting methods.
•  Strong problem-solving skills and a strategic mindset.
•  Excellent communication skills, with the ability to explain complex concepts to diverse audiences.
•  Experience using BI tools (Tableau, Power BI, etc.) and Marketing mix modeling skills (especially in CPG) would be a big plus.
•  High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through  AI.

Benefits:

• Competitive salary and work equipment allowances. 
•  Flexible work schedule and paid personal time off.
• Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
•  Opportunities for professional growth and learning.

Clearbox Decisions Inc. dba Cloverpop is proud to be an Equal Employment Opportunity and affirmative action employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.