Data Scientist (Remote, Contract)

We are seeking a talented Data Scientist to join our Research and Development (R&D) team. In this role, you will be responsible for developing analytical solutions for complex problems that cannot be solved using simple algorithms or traditional code. You will work on a variety of cutting-edge projects, including data-driven insights, predictive modeling, machine learning, and optimization. This is an exciting opportunity to apply your skills in a dynamic R&D environment and contribute to the development of next-generation solutions.

Responsibilities:

1. Defining Problem-Solving Approaches:
• Analyze business problems, formulate hypotheses, and propose methods for testing them.
• Develop and test technologies for data analysis and decision-making automation.
2. Data Management:
• Organize data collection, cleaning, and structuring for further analysis.
• Define necessary data requirements and collaborate with the team on data preparation.
3. Model Development & Machine Learning:
• Design, build, and validate machine learning models to address business problems and improve product performance.
• Develop predictive models, recommendation systems, and classification algorithms to solve complex challenges.
• Optimize models, test them on real-world data, and assess the quality of solutions.
4. Reporting & Solution Integration:
• Primary task: Automate processes, including data collection and processing, optimization of existing processes, and acceleration of system performance.
• Prepare reports with analysis results, including metrics to evaluate hypothesis effectiveness.
• Work closely with product managers and business analysts, helping them understand potential limitations and risks during implementation.
5. Automation & AI Models:
• Use generative and specialized neural networks to automate processes.
• Optimize AI model prompts for better interaction.
• Seek pre-built solutions for accelerating workflows while ensuring deep understanding of neural network fine-tuning.
6. Data-Driven Research & Innovation:
• Collaborate with the R&D team to explore new research areas and apply data science techniques to support innovative product development.
• Conduct experiments and hypothesis testing to validate assumptions and optimize models.
7. Collaboration & Cross-Functional Work:
• Work closely with product managers, engineers, and other team members to align data-driven solutions with business goals.
• Contribute to team knowledge-sharing, ensuring that data science best practices are adopted across the organization.
8. Continuous Learning & Innovation:
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Integrate new techniques into R&D projects and experiment with new tools and technologies.

Key Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• 3+ years of experience as a Data Scientist, with a strong focus on machine learning, statistical modeling, and data analysis.
• Strong knowledge of data science techniques, including regression, clustering, classification, and time-series analysis.
• Expertise in machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, Keras, PyTorch).
• Proficiency in programming languages such as Python, R, or similar, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with big data tools and platforms (e.g., Hadoop, Spark) is a plus.
• Solid understanding of data visualization tools (e.g., Matplotlib, Tableau, PowerBI) to communicate insights effectively.
• Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
• Excellent communication skills, with the ability to explain complex data findings to non-technical stakeholders.
• Ability to work independently, manage projects, and collaborate with cross-functional teams.

We offer:

• Opportunity to work on innovative and cutting-edge projects in a fast-paced R&D environment.
• Professional development and career growth opportunities.
• Competitive compensation in USD.
• Professional, friendly, and dynamic team atmosphere.
• Schedule: Monday to Friday 14:00 - 23:00 EET (incl. 1 hr break)
• Paid vacation and sick-leaves. Reduced Fridays during the summer.
• Employee development budget for courses, certifications, and conferences.
• Access to the latest tools and technologies.
• Opportunity to contribute to the company’s growth and innovation.

Our hiring process:

• Interview with the recruiter;
• Technical interview;
• Call with a hiring manager;
• Offer.

If you feel like this opportunity aligns with your experience and expectations, please don't hesitate to apply!