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Leoforce is the innovative company behind the AI-powered Recruiting Agent that revolutionizes talent discovery and engagement. At Leoforce, we are passionate about empowering recruiters and job seekers with responsible AI that delivers unbiased, data-driven results. We foster 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.

Job Description

We are seeking a talented and motivated Data Scientist to join our dynamic team in New York, NY. The ideal candidate will have strong expertise in Python and machine learning (ML), and a passion for leveraging data to drive business insights and innovation.

Key Responsibilities

Design, develop, and implement machine learning models and algorithms to solve complex business problems.
Analyze large datasets to extract actionable insights and support data-driven decision-making.
Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
Develop and maintain data pipelines and workflows for model training and deployment.
Communicate findings and recommendations to both technical and non-technical stakeholders.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Proven experience with Python for data analysis and machine learning.
Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.

Preferred Qualifications

Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for data science workflows.
Knowledge of SQL and database management.

Benefits

Competitive salary and comprehensive benefits package.
Opportunities for career advancement and professional development.
Flexible work environment and supportive team culture.
Access to cutting-edge technology and resources.