Senior Data Scientist

Organization Overview:

Founded in 2017, SAGOUS Software and Services Pvt Ltd, an IT consulting and product development firm, began its operations in India. We believe in building solutions that revolutionize the way productivity is enhanced in an organization with security, reliability, and scalability. Our unwavering commitment to continuous research and process enhancement empowers us to deliver future-ready applications to clients.

We assure the highest certainty and satisfaction through a profound commitment to our clients, comprehensive industry expertise, and a network of innovation. We are committed to providing our clients with the utmost safe and reliable service. Our goal is to deliver beyond expectations and deliver tangible value to our clients’ operations at every touch point.

1. As a Senior Data Scientist, you will:

• Act as a hands-on developer, building advanced machine learning and AI-driven models within complex data ecosystems.
• Develop descriptive, prescriptive, and predictive models with strong technical rigor to address critical business challenges.
• Apply advanced statistical modeling, causal inference, and data analytics techniques to deliver actionable insights.
• Work across end-to-end data engineering workflows to support model development, data preparation, and scalable pipelines.
• Enhance experimentation frameworks, including A/B testing, synthetic control methodologies, and incrementality testing, to accurately measure business outcomes.
• Partner closely with data engineers and machine learning engineers to scale, automate, and deploy models into production environments.
• Collaborate with cross-functional stakeholders to translate analytical findings into strategic recommendations.

2. What You Bring to the Table:

• 5+ years of experience in data science, machine learning, statistical modeling, or related fields.
• Bachelor’s degree in a quantitative discipline (Mathematics, Statistics, Economics, Computer Science, Physics, Engineering, etc.).
• Master’s or advanced degree in a quantitative field (preferred).
• Proven expertise in predictive modeling, causal inference, and model optimization.
• Strong foundation in machine learning algorithms, evaluation metrics, and performance measurement techniques.
• Advanced proficiency in Python and SQL, with hands-on experience using at least one major cloud platform (Azure, AWS, GCP, OCI).
• Experience working with experimentation frameworks, including A/B testing and causality-driven measurement.
• Demonstrated ability to develop, validate, and deploy scalable models in production environments.

3. You should possess the ability to:

• Clearly articulate complex statistical and machine learning concepts to both technical and non-technical audiences.
• Influence strategic decision-making through data-driven insights.
• Thrive in a hands-on, collaborative environment with engineers, analysts, and stakeholders.
• Work independently in ambiguous environments while maintaining strong attention to detail and scientific rigor.
• Troubleshoot model performance, optimize pipelines, and maintain high-quality standards across the ML lifecycle.

4. What We Bring to the Table:

• The opportunity to work on cutting-edge machine learning and AI initiatives with high business impact.
• A collaborative environment that values innovation, experimentation, and continuous learning.
• Cross-functional exposure across engineering, analytics, and product teams.
• A culture that supports autonomy, creativity, and professional growth in advanced data science disciplines.