You will be working under the direction of expert data scientists to help deliver prototype and production grade AI solutions for strategic business problems. You will also be providing direction and mentorship to junior staff to ensure timely delivery of sound solutions.

Mathematical Modeling & Algorithm Design
Translate complex business problems into mathematical or computational models.
Design, implement, and optimize machine learning algorithms and data mining workflows
Rapid Prototyping & Customer Engagement
Collaborate directly with customers to understand business needs, define requirements, and deliver proof-of-concept AI solutions
Build, integrate, and test AI-driven prototypes and applications for real-world use cases
· AI Development & Research
Support internal teams by designing and implementing novel machine learning algorithms
Apply recent research breakthroughs to practical problems to create measurable business value
Contribute to continuous improvement of system scalability, performance, and explainability
· Communication & Collaboration
Clearly communicate complex results and insights to both technical and non-technical stakeholders
Visualize and document findings to ensure transparency and reproducibility
Work cross-functionally with product, engineering, and research teams to drive AI adoption

Due to the global nature of the team and the customers we serve, the team is completely results-oriented, where team members work during their own local working hours while allowing time to meet with their fellow team members, managers, and customers at mutually convenient times.

What You Bring

· Education & Experience
Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
5+ years of experience for Data Scientist and 9+ years of experience as Senior Data Scientist in machine learning, data science, or AI research (industry, research lab, or advanced academic projects)
· Technical Skills
Strong background in machine learning, deep learning, data mining, and/or optimization
Proficiency with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn) and experience working with real-world datasets, data preprocessing, and model deployment
Familiarity with cloud environments (AWS, Azure, GCP)
· Core Competencies
Ability to translate abstract business challenges into concrete AI solutions
Strong analytical, problem-solving, and mathematical modeling skills
Curiosity and initiative in exploring new AI techniques and applications
Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks
Write production-grade Python code
Excellent communication and collaboration skills, especially in customer-facing environments, commitment to ethical and explainable AI practices