Data Science Manager (Freelancer)

Soul Ai; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Soul Ai in Hyderabad, India is seeking a Lead Data Scientist to guide a team in delivering actionable insights and data-driven solutions for key business challenges.

You will design and deploy ML models, oversee data analysis workflows, collaborate with cross-functional teams to translate analytics into strategy, and mentor team members to grow their skills while ensuring timely project delivery. This is a hands-on leadership role with a focus on delivering impact.

Qualifications

• 4+ years of experience in data science, including 1+ years in a leadership role.
• Strong proficiency in Python, R, SQL, and machine learning frameworks.
• Experience in leading data science projects and managing teams.

Responsibilities

• Lead and mentor a team of data scientists to deliver actionable insights and data-driven solutions.
• Oversee the design and implementation of machine learning models and data analysis workflows.
• Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations.
• Ensure best practices for data analysis, model deployment, and algorithm development.

Skills

Python

R

SQL

ML frameworks

Leadership

Problem solving

Job description

Key Responsibilities:

Lead and mentor a team of data scientists to deliver actionable insights and data-driven solutions.

• Oversee the design and implementation of machine learning models and data analysis workflows.
• Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations.
• Ensure best practices for data analysis, model deployment, and algorithm development.
• Manage project timelines, resources, and deliverables to ensure the successful execution of data science initiatives.

Required Qualifications:

4+ years of experience in data science, including 1+ years in a leadership role.

• Strong proficiency in Python, R, SQL, and machine learning frameworks.
• Experience in leading data science projects and managing teams.
• Strong problem-solving skills and the ability to translate complex data insights into business strategies.