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Data Scientist - Remote - C2C (10+) at Remote, Remote, USA
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From:

sudharsan.s,

Vysystems

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Domain :- Supply chain Is MUST

Data Analysis and Modelling:

Collect, clean, and analyse large datasets from various sources to identify trends, patterns, and correlations.

Develop predictive models and algorithms to optimize supply chain operations, including demand forecasting, inventory optimization, and transportation planning.

Apply statistical analysis and machine learning techniques to extract actionable insights and recommendations.

Predictive Analytics and Optimization:

Collaborate with cross-functional teams to identify key business problems and design analytical solutions.

Build and maintain forecasting models to accurately predict demand and optimize inventory levels, minimizing stockouts and excess inventory.

Utilize optimization techniques to improve route planning, load balancing, and distribution strategies.

Data Visualization and Reporting:

Create visually compelling and interactive dashboards, reports, and presentations to communicate insights to stakeholders and support decision-making processes.

Translate complex analytical findings into clear and concise recommendations for business leaders.

Continuously monitor and evaluate the performance of implemented models and provide insights for ongoing improvements.

Collaboration and Innovation:

Collaborate closely with cross-functional teams, including supply chain, operations, IT, and business development, to identify opportunities for data-driven improvements.

Stay updated with the latest advancements in data science, machine learning, and supply chain analytics, and apply innovative approaches to problem-solving.

Keywords: information technology
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Fri Jul 28 01:01:00 UTC 2023

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