Data scientist

4 weeks ago

Bengaluru, India SatSure Full time
Seeking a Data Scientist to design, develop, and deploy data-driven solutions for optimized delivery operations and streamlined workflows. This role involves cross-functional collaboration, KPI tracking, and advanced analytics to enhance efficiency, reduce TAT, and improve decision-making.
About Sat Sure:
Sat Sure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
Join us to be at the forefront of building a deep tech company in India that solves problems worldwide.
Roles & Responsibilities:
Lead the design, development, and deployment of data-driven solutions to enhance delivery operations, streamline workflows, and optimize business processes.
Collaborate with the engineering and operations teams to scale data models and ensure their integration into the production environment, optimizing performance metrics and business outcomes.
Work cross-functionally to influence the adoption of data-driven approaches that improve operational efficiency, minimize TAT, and reduce bottlenecks in the delivery process.
Define, track, and report on key performance indicators (KPIs) and success metrics for operational efficiency, providing actionable insights for continuous improvement.
Use advanced analytics, statistical methods, and machine learning techniques to solve complex operational challenges and improve decision-making processes.
Ensure data quality and accuracy in all operational workflows, designing and implementing robust quality control measures and continuous monitoring systems.
Identify new opportunities to automate repetitive tasks and optimize existing processes through innovative data science methodologies.
Communicate data-driven insights and technical results clearly to both technical and non-technical stakeholders to align operations with business goals.
Qualifications:
Master’s degree in Data Science, Computer Science, Operations Research, Statistics, Mathematics, or related fields.
2-4 years of data science experience, focusing on operational excellence, product delivery, or process optimization.
Must-Have:
Strong Python, R, and SQL proficiency for data manipulation, analysis, and querying.
In-depth knowledge of machine learning, statistical modelling, and optimization techniques.
Ability to convert business challenges into data-driven solutions, leveraging advanced analytics and machine learning.
Experience with database management, data extraction, transformation, and loading (ETL) processes.
Excellent problem-solving skills with a strong understanding of operational KPIs, workflow management, and resource optimization.
Strong communication skills to convey complex insights to non-technical stakeholders.
Good to Have:
Experience in the agriculture sector or a similar domain.
Hands-on experience with project management tools or software development workflows.
Exposure to Postgre SQL , Google Earth Engine (GEE) , and geospatial data is a plus.
Working with data visualization tools like Tableau , Power BI , or similar platforms.
Benefits:
Comprehensive health coverage for you and your family, including mental health consultations.
Access to continuous learning and development opportunities.
Competitive leave policy including casual, paid, and bereavement leaves.
Bi-annual performance appraisals and structured career progression.
Interview Process:
Introductory call
Technical assessment
Case Study/Presentation
Interview rounds (3-4 rounds)
Culture fit/HR round

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