Position: Senior Data Scientist / Analyst in Product team
Company: 2K-Group
Experience required: 5y
English level: upper

The Senior Data Scientist will play a pivotal role in driving data-centric decision-making and shaping the future of our organization. As an expert in machine learning and advanced mathematics, you will be responsible for analyzing complex datasets, developing predictive models, and providing actionable insights to various stakeholders
across the organization. This role requires an innovative mindset, exceptional analytical skills, and the ability to communicate complex concepts to non-technical audiences. The working schedule is 10-19 EEST (Kyiv time zone).

**Responsibilities:**
• Develop, implement, and maintain machine learning models and algorithms to support data-driven decision-making and problem-solving.
• Analyze complex datasets using advanced statistical methods and mathematical techniques to identify patterns, trends, and correlations.
• Collaborate with cross-functional teams, including engineering, product management, and operations, to develop data-driven solutions that address business challenges and drive growth.
• Design and implement scalable data processing pipelines, ensuring data quality and consistency across multiple sources.
• Communicate complex analytical findings and insights to non-technical stakeholders clearly and concisely.
• Continuously explore and evaluate new data sources, tools, and techniques to improve analytical capabilities and drive innovation.
• Provide mentorship and guidance to junior data analysts, fostering a culture of continuous learning and professional growth.

**Requirements:**
• A bachelor's or master's degree in computer science, mathematics, statistics, engineering, or a related field.
• A minimum of 5 years of experience as a data analyst/scientist, focusing on machine learning and advanced mathematical techniques.
• Strong proficiency in programming languages such as Python, R, or Java, and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Advanced knowledge of statistical and mathematical concepts, including linear algebra, probability, and optimization.
• Experience with big data tools and technologies such as Hadoop, Spark, or SQL, and familiarity with data visualization tools such as Tableau or Power BI.
• Exceptional analytical and problem-solving skills, with a keen eye for detail and accuracy.
• Excellent communication and presentation skills, with the ability to articulate complex concepts to diverse audiences.
• A strong team player with a proactive attitude and a passion for learning and staying updated on industry trends and best practices.
• Upper-intermediate English proficiency to ensure smooth communication within the team

**Preferred Qualifications:**
• A Ph.D. in a relevant field is a plus.
• Experience with deep learning techniques, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
• Familiarity with cloud computing platforms AWS, Azure, or Google Cloud.
• Domain knowledge in gambling and sports would be preferable.