Job Title: Data Scientist
Location: San Francisco, CA

About Leoforce:
Leoforce is the innovative company behind Ira, the AI-powered recruiting technology that revolutionizes talent discovery and engagement. Ira combines advanced AI and Talent Intelligence to help recruiters find highly compatible candidates, reducing time-to-hire and ensuring success for every role.

At Leoforce, we are passionate about empowering recruiters and job seekers with responsible AI that delivers unbiased, data-driven results. We believe in fostering a workplace built on respect, integrity, and the freedom to innovate.

Why Join Us?
- Career Growth: Opportunities for professional and personal advancement in a rapidly evolving industry.
- Cutting-Edge Technology: Be part of a team working on revolutionary AI solutions that redefine talent acquisition.
- Collaborative Environment: A culture that values diversity, creativity, and high performance.
- Employee Empowerment: Freedom to innovate and make a difference while being supported by a team that values respect and integrity.

Position Overview:
We are seeking a talented Data Scientist to join our dynamic team in San Francisco. The ideal candidate will leverage advanced analytics, machine learning, and data-driven insights to solve complex business challenges and drive innovation in our AI-powered recruiting solutions.

Key Responsibilities:
- Develop, implement, and optimize machine learning models and algorithms for talent intelligence applications.
- Analyze large, complex datasets to extract actionable insights and support business objectives.
- Collaborate with cross-functional teams including engineering, product, and business stakeholders.
- Communicate findings and recommendations to both technical and non-technical audiences.
- Stay current with industry trends, best practices, and emerging technologies in data science and AI.

Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist or in a similar analytical role.
- Proficiency in Python, R, or similar programming languages.
- Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch).
- Strong knowledge of statistical analysis and data mining techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.

Preferred Qualifications:
- Experience in the HR tech or recruiting industry.
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Experience with big data technologies (e.g., Spark, Hadoop).

Benefits:
- Competitive compensation and benefits package.
- Opportunities for career advancement and professional development.
- Flexible work environment.
- Access to cutting-edge tools and technologies.
- Inclusive and innovative company culture.