AI Data Scientist

As a data scientist (AI/ML Engineer) you will be responsible for developing and deploying machine learning models and AI-driven solutions to support our HR and Facilities teams and systems. You will work closely with cross-functional teams including HR Facilities Finance IT and business analysts to automate processes optimize data workflows and create predictive models that improve reporting forecasting and decision-making. Your work will directly contribute to enhancing the scalability reliability and accuracy of our HR and Faciliites operations.

Key Responsibilities:

AI/ML Model Development: Design develop and deploy AI/ML models to automate HR and Facilities processes enhance reporting capabilities and optimize ERP systems.

Automation: Implement intelligent automation solutions to streamline HR-related workflows such as Talent Acquisition Learning and Development Real Estate Management Workforce Planning and M&A Integration.

Data Integration: Work with data engineers to integrate people and places data from various sources (ERP CRM etc.) and ensure seamless flow of data into machine learning models.

Predictive Analytics: Build predictive models for HR planning and forecasting talent management and acquisition and trend analysis to assist in strategic decision-making.

Process Optimization: Identify opportunities within the ERP system for process automation and optimization utilizing AI/ML techniques for improved financial performance.

Collaboration: Collaborate with HR Facilities Finance IT and business teams to understand business requirements and translate them into technical solutions.

Model Evaluation: Continuously monitor the performance of AI/ML models and refine them for accuracy efficiency and scalability.

Documentation & Reporting: Create clear documentation for models data pipelines and algorithms and report on the impact of AI/ML solutions to leadership.

Research & Innovation: Stay up to date with the latest trends in AI/ML technologies and HR automation bringing innovative ideas to the table for process improvement.

Qualifications :

Required Qualifications:

Education:

• Bachelors or Masters degree in Computer Science Data Science Engineering or related field.

Experience:

• 3 years of experience in AI/ML with at least 2 years of experience working on HR Finance or ERP systems.

Technical Skills:

• Strong experience with machine learning frameworks (e.g. TensorFlow PyTorch Scikit-learn).
• Proficiency in programming languages (Python R SQL etc.).
• Experience in data preprocessing feature engineering and model tuning.
• Familiarity with cloud platforms (e.g. AWS Azure GCP) and data storage technologies (e.g. SQL NoSQL data lakes).
• Experience with AI-driven process automation and robotics (RPA) tools is a plus.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time