Senior Data Scientist

About the role

As a Senior Data Scientist at BetConstruct, you will be responsible for developing and deploying advanced machine learning models and statistical algorithms to create innovative AI solutions. You will analyze complex datasets to extract trends and insights that inform business strategies and product development.

Collaboration is key in this role, as you will work with cross-functional teams to integrate AI-driven insights into various projects. Additionally, you will mentor junior team members, promoting best practices in data science and AI research while documenting findings and preparing reports for stakeholders.

Skills that matter here

• Machine Learning: You will develop and deploy machine learning models to enhance AI solutions.
• Statistical Analysis: This role involves applying statistical methods to analyze complex datasets.
• Data Mining: You will uncover trends and patterns through data mining techniques.
• Deep Learning: A solid understanding of deep learning frameworks is crucial for model development.
• Data Visualization: You will create visual representations of data to communicate insights effectively.
• Programming (Python/R): Proficiency in Python or R is essential for data manipulation and model building.

Who this role suits

• A seasoned data scientist with at least 7 years of experience, including 3 years in AI and machine learning.
• Someone who enjoys mentoring and guiding junior team members.
• An analytical thinker who can translate complex data into actionable insights.
• A collaborative team player who communicates technical concepts effectively to non-technical audiences.

From the employer

• Develop and deploy advanced machine learning models and statistical algorithms to drive innovative AI solutions within the center
• Collaborate with cross-functional teams to integrate AI driven insights into business strategies and products
• Analyze complex datasets to uncover trends, patterns, and actionable insights that contribute to decision-making processes
• Support research initiatives and pilot projects to test new AI methodologies and technologies
• Document findings and methodologies, preparing comprehensive reports and presentations for stakeholders
• Mentor junior team members and promote best practices in data science and AI research
• Carry out other duties assigned by the immediate supervisor that align with the job description and comply with the labor code

• Advanced degree (Master’s/PhD) in Data Science, Statistics, Computer Science, Mathematics, or a related field
• A minimum of 7 years of experience in data science or analytics, with at least 3 years focused on AI and machine learning projects
• Extensive experience in data science, machine learning, and statistical analysis within an AI-focused environment
• Proficiency in programming languages such as Python (and/or R) with strong hands on skills in data manipulation and model building
• Solid understanding of deep learning frameworks (e.g., Tensor Flow, PyTorch) and big data technologies
• Excellent problem solving skills, with the ability to translate complex data into actionable business insights
• Proven ability to work collaboratively in cross functional teams and communicate technical concepts to non-technical audiences
• Analytical Thinking, Strong Communication, Team Collaboration, Adaptability, Detail-Oriented, and a Proactive, Innovative Mindset