Middle Data Scientist

About us:

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:

Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:

We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic 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 decision recommendations.

Requirements:

- 3+ years of relevant experience as a Data Scientist.

- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, 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.

Would be a plus:

- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).

- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:

- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping 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, 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.

The company offers:

- 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.