Data Scientist

• Utilise advanced machine learning techniques and time series analysis to predict outcomes and market trends.
• Develop a time series forecasting model based on the provided data sources.
• Conduct thorough feature engineering and data preprocessing to extract meaningful insights from complex datasets.
• Collaborate with domain experts and stakeholders to understand relevant factors and variables.
• Evaluate model performance and refine algorithms to improve predictive accuracy and robustness.
• Communicate findings and recommendations effectively to internal teams and external clients through clear and concise presentations and reports.
• Stay updated on the latest advancements in data science methodologies to drive innovation and maintain a competitive edge.

• Proven experience developing predictive models for analytics, forecasting or related applications.
• Strong proficiency in machine learning algorithms, time series analysis techniques and statistical modelling.
• Expertise in programming languages such as Python or R and familiarity with relevant libraries and frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow).
• Excellent analytical skills with the ability to interpret complex data and derive actionable insights.
• Good knowledge of mathematics, theory of probability and statistics.
• Experience designing ML pipelines, including data collection, wrangling, training and validating ML, delivering and serving.
• Experience in ML serving concepts (CI/CD, REST, flask/fastapi, docker).
• Strong communication skills with the ability to effectively convey technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.

• A long-term strategy for your development as an expert, together with a team that has almost 30 years of professional experience.
• Participation in large international projects that allow mastering new technologies and domains.
• Educational events and professional training that will help you build a stable career path.
• A flexible reward system where your income will depend on you and your desire to grow.
• A friendly and cozy corporate culture with a minimum level of formality and bureaucracy.
• Comfortable and safe office spaces in Poltava or Kharkiv, where you will always have access to electricity and the internet.

NIX Solutions