Job Title: Senior Data Scientist – E-commerce Specialist
Location: Onsite, India

About Us:
Leoforce is the innovative company behind the AI-powered Recruiting Agent that revolutionizes talent discovery and engagement. We combine 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 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.

Role Overview:
We are seeking a Senior Data Scientist with a strong background in Python and a specialization in e-commerce analytics. The ideal candidate will leverage advanced data science techniques to drive business insights, optimize processes, and support data-driven decision-making within our e-commerce vertical.

Key Responsibilities:

• Design, develop, and implement advanced machine learning models and algorithms tailored to e-commerce data.
• Analyze large, complex datasets to extract actionable insights that drive business growth and customer engagement.
• Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Stay updated with the latest trends and advancements in data science and e-commerce analytics.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, with a focus on e-commerce analytics.
• Expert proficiency in Python for data analysis, modeling, and visualization.
• Strong experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Proven ability to work with large datasets and cloud-based data platforms.
• Excellent problem-solving, communication, and presentation skills.

Preferred Qualifications:

• Experience with SQL, R, or other data analysis tools.
• Familiarity with recommendation systems, customer segmentation, and pricing optimization in e-commerce.
• Prior experience in a fast-paced, high-growth e-commerce environment.

Work Arrangement:
This is a full-time, onsite position based in India.

Benefits:

• Opportunities for career advancement and professional development.
• Work with cutting-edge AI and data science technologies.
• Collaborative and inclusive work culture.
• Empowerment to innovate and make a real impact.