Decision Scientist

We are seeking a Decision Scientist to join our team and play a vital role in aligning data-driven solutions with business objectives, optimizing decision-making processes, and promoting a culture of data-driven business solutions. The ideal candidate should possess a deep understanding of statistical learning, hypothesis formulation, and a proactive problem-solving approach. SatSure is a deep tech, decision intelligence company that operates at the intersection of agriculture, infrastructure, and climate action, making a positive impact in the developing world by leveraging insights from earth observation data. As part of our team, you will have the opportunity to contribute to building a cutting-edge tech company based in India that addresses global challenges. Responsibilities: - Understand business objectives and develop models to support their achievement, while establishing metrics to monitor progress. - Enhance existing DS/ML models in production and explore new opportunities in collaboration with clients. - Collaborate with cross-functional teams to drive and implement optimized decision-making solutions. - Promote a culture of data-driven business solutions within the organization. - Study the relationship between remote sensing data and other auxiliary datasets. - Work with data scientists to contribute to study protocols and design. - Develop and execute data quality assurance plans. - Stay informed about the latest developments in statistical learning and quality assurance. - Define metrics for assessing product enhancements and manage reporting and tracking. - Formulate hypotheses and design experimental frameworks for metric testing. - Proactively identify and pursue opportunities for new solutions. Qualifications: - 5-8 years of work experience. - Master's degree in Mathematics, Statistics, Business Analytics, Computer Science, or a related field. Required Skills: - Proficiency in data manipulation and analysis using Python or R, as well as SQL for database querying. - Familiarity with data visualization tools (e.g., Tableau, Power BI) and data preparation tools (e.g., Pandas, NumPy). - Strong analytical and problem-solving skills, including expertise in statistical and machine-learning techniques. - Excellent communication skills to convey technical findings in a clear and actionable manner to non-technical stakeholders. - Business acumen with knowledge of the banking, finance, and agriculture sectors. - Attention to detail, commitment to data accuracy, and results-driven mindset. - Domain knowledge in financial modeling, DS/ML, operations research, decision support, and business intelligence. Preferred Skills: - Experience in team leadership or management. - Background in financial modeling and credit scoring. - Ability to communicate technical results effectively to diverse audiences. Benefits: - Medical health coverage for you and your family, with unlimited online doctor consultations. - Access to mental health experts for you and your family. - Learning and skill development allowances. - Comprehensive leave policy, including casual leaves, paid leaves, marriage leaves, and bereavement leaves. - Bi-annual appraisal cycle. Interview Process: - Introductory call - Assessment - Presentation - Multiple interview rounds (typically 3-4 rounds) - Cultural/HR round,