Kiwi Kisan Window is hiring for a fresher entry level Associate Data Scientist (in Analytics) role in India
๐ Position:
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Associate Data Scientist (this is more of a Data Analyst role as per the job description)
๐ข Company:
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Kiwi Kisan Window
๐ Location:
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Dehradun, Uttarakhand, India
๐ผ Job type:
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Full-time
๐ฅ️ Job mode:
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Onsite
๐ง๐ป Job requisition ID:
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Not specified
๐ฐ️ Years of experience:
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0-1 year
๐ญ Company description
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Kiwi Kisan Window is an innovative social-entrepreneurship venture working toward making organic food accessible and mainstream.
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The company bridges local farmers with consumers to promote a healthier, more sustainable lifestyle.
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It operates retail stores in Dehradun and is expanding into e-commerce for organic and conscious foods.
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Kiwi aims to present farm-fresh produce and healthy staples with a sensory experience that’s appealing across sight, taste, touch, and smell.
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They focus on integrity and transparency in the supply chain, bringing high-quality products directly to health-conscious customers.
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Kiwi’s business model supports local agricultural communities and aims to reduce the environmental footprint through eco-friendly practices.
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They leverage data-driven decisions for continuous growth and better efficiency in their logistics and operations.
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With rapid growth underway, they want passionate team members to help scale their supply chain and digital footprint.
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The company seeks new talent to enhance the scalability of their supply chain and support its operational excellence.
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Kiwi Kisan Window looks for people who appreciate food quality, process excellence, and sustainability.
๐ง Profile overview
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The Associate Data Scientist will design and manage a real-time control tower to ensure smooth logistics and on-time deliveries.
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They will proactively identify and resolve supply chain disruptions through data analysis and strategic improvements.
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This role integrates data from multiple systems to monitor KPIs, optimize processes, and drive continuous improvement.
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Success requires balancing data analytics, technology tools, and operational excellence in a dynamic retail and e-commerce environment.
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The role suits someone who enjoys working with numbers, finding efficiencies, and making decisions that impact end-to-end supply chains.
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Strong communication skills and cross-functional collaboration with procurement, logistics, tech, and sales teams will be vital.
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The candidate will also create operational reports and dashboards for ongoing visibility into performance trends and areas for action.
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Exposure to ERP tools, dashboarding tools, and hands-on experience with SQL, Python/R is expected to facilitate automation.
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The position provides growth into supply chain optimization, data engineering, and advanced analytics.
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Overall, this is an exciting opportunity for an early-career data scientist with interest in logistics and food retail sectors.
๐ Qualifications
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A completed graduate degree, preferably in engineering (B.Tech) and/or an MBA to complement technical expertise.
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Prior exposure to data-driven operations, control tower management, or similar logistics roles is a plus.
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Comfort with data wrangling tools such as SQL, Python, R as well as strong analytical skills.
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Familiarity with dashboarding tools like Power BI, Tableau, or Google Data Studio to visualize KPIs and trends.
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Exposure to ERP tools and experience working with supply chain data will help you hit the ground running.
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Must possess strong problem-solving, decision-making, and prioritization abilities under dynamic business conditions.
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Excellent communication and stakeholder management skills to collaborate across different teams and vendors.
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Proven ability to work with datasets to identify bottlenecks and offer continuous improvements.
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Drive for delivering results and handling multiple priorities with accuracy.
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Exposure to statistical techniques, optimization concepts, and process automation is a strong advantage.
๐ Additional info
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You will manage a variety of tasks ranging from issue resolution and partner management to creating performance reports.
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The company offers a fixed CTC of ₹4,00,000 to ₹6,00,000 and variable incentives between ₹1,00,000 to ₹1,20,000 per year.
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This is a full-time role where you will work closely with senior leaders to improve KPIs and process efficiencies.
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Real-time issue identification and proactive solutions will be the core focus of this role.
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Expect to take ownership of new initiatives such as automation, compliance checks, and risk mitigation.
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Kiwi Kisan Window values learning and will support you in building new skills relevant to supply chain data analytics.
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You will be part of a passionate team committed to sustainable food practices and improving local farmers’ market access.
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The company is currently expanding into e-commerce channels which will add new layers of complexity and opportunity.
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Strong emphasis will be placed on transparent communication of results and trends to leadership and stakeholders.
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Continuous learning and agility will help you grow along with the company as its scale and offerings grow.
Please click here to apply.
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