Senior Data Scientist for Predictive Modeling in Fluvius

Required Skills:

• 3+ years of experience with Scikit-Learn.
• 5+ years of experience in Python, Pandas, and Numpy.
• Experience with financial data and stock price prediction.
• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or related field.
• Familiarity with Interactive Brokers.
• Knowledge of machine learning operations (ML Ops).
• Strong problem-solving skills and ability to work independently and collaboratively.
• Excellent communication skills and attention to detail.
• Upper Intermediate or higher English level.

Responsibilities:

• Develop and implement predictive models for stock price forecasting.
• Use machine learning techniques with Scikit-Learn to analyze historical price data and predict future trends.
• Perform data manipulation and preprocessing using Pandas and Numpy.
• Conduct exploratory data analysis to identify patterns and insights.
• Collaborate with engineers and team members to integrate predictive models into production environments.
• Continuously monitor and refine models to improve accuracy and performance.
• Work with real-time and historical data to enhance prediction capabilities.

Project description:

Join our innovative team at the forefront of technology, developing a sophisticated stock price prediction system. Utilize advanced machine learning techniques to analyze financial data, uncover insights, and forecast future stock prices. Work closely with a dynamic team to bring cutting-edge predictive models into production, continuously enhancing the accuracy and performance of our system. 
 

What we offer:

• Healthy workplace environment
• Strong and friendly development team
• Competitive reward
• Compensation for education
• Flexible schedule
• 10 paid vacation days, 4 paid days-off