Note: The job is a remote job and is open to candidates in USA. Soni is building a data-driven culture where analytics, AI, and technology influence business decisions. They are seeking a Data Scientist who can translate complex business challenges into actionable insights while bringing advanced analytics and machine learning solutions into production.
Responsibilities
- Analyze large and complex datasets to identify patterns, trends, and opportunities that support strategic business decisions
- Develop predictive models, scoring frameworks, and machine learning solutions that enhance business performance and decision-making
- Apply statistical and analytical techniques to solve real-world business problems and uncover actionable insights
- Continuously evaluate model effectiveness and recommend enhancements based on business outcomes and evolving data
- Contribute to the organization's growing AI strategy, including opportunities to leverage generative AI and emerging technologies
- Explore innovative approaches to automation, decision support, and workflow optimization through advanced analytics and AI solutions
- Partner with leadership to identify high-value use cases where AI can improve operational efficiency and decision quality
- Work closely with data engineering teams to ensure analytical solutions can be deployed, maintained, and scaled effectively
- Collaborate on the design and implementation of data pipelines that support machine learning and advanced analytics initiatives
- Help bridge the gap between model development and production deployment by ensuring solutions are practical, reliable, and business-ready
- Support efforts to improve data quality, accessibility, and governance across the organization
- Engage directly with business stakeholders to understand challenges, define analytical approaches, and deliver impactful solutions
- Translate technical findings into clear, concise recommendations for both technical and non-technical audiences
- Serve as a trusted partner in helping business leaders make data-informed decisions
Skills
- 3+ years of hands-on experience in Data Science, Analytics, Machine Learning, or a related quantitative field
- Proven experience developing predictive models or machine learning solutions in a business environment
- Strong proficiency in Python and modern data science libraries
- Advanced SQL skills and experience working with large-scale, complex datasets
- Experience applying statistical analysis and predictive modeling techniques to business problems
- Understanding of data engineering concepts, including data pipelines, model deployment, and production environments
- Experience working with cloud-based platforms such as Azure, AWS, or Google Cloud
- Strong communication and stakeholder management skills with the ability to explain technical concepts to business audiences
- Experience collaborating closely with Data Engineering teams or supporting machine learning deployment initiatives
- Familiarity with distributed computing tools such as Spark or PySpark
- Experience developing AI-driven solutions, including Generative AI, Large Language Models (LLMs), or agent-based workflows
- Background in insurance, financial services, or other highly regulated industries
- Experience building production-grade machine learning applications
- Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline
Company Overview
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