Senior Data Scientist
3 weeks ago
Qualifications :Bachelor's degree or equivalent in field - Statistics, Mathematics, Computer Science, Engineering, etc
Required Skills :4-8 years of proven experience as a
Data Scientist,
with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.Expertise in
Python
programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning.Hands-on experience developing and deploying machine learning models in real-world applications.Experience in S tatistical Modeling/analysis,
regression, time series.Querying data from structured ( SQL ) and unstructured data stores, advanced scripting techniques using Python, optimizing code for performance, scalability, and readability, and using statistics and machine learning.
Problem-Solving :Strong problem-solving skills with a focus on finding efficient and scalable solutions.Ability to learn new tools on the go and developing best practices is mandatory.
ResponsibilitiesRun a DS project for Supply Chain team by themselves, stakeholder engagement and translate business problem, propose solutionsWill be partnered with DEs and others, working on extensive DS solutioning approaches, Supply Chain domain knowledge is a plusGood to have Optimization models – experience in optimizationApply domain expertise in technology to develop data-driven solutions that address complex challenges in the industry.Collaborate with cross-functional teams to identify business problems and opportunities where data science can provide valuable insights and solutions.Utilize Python for data manipulation, analysis, and model development, demonstrating proficiency in creating efficient and well-documented code.Showcase a strong portfolio of successfully deployed machine learning projects that highlight expertise in predictive modeling, classification, regression, clustering, and more.Hands-on experience in deep learning techniques related to computer vision and/or Natural Language Processing (NLP).Exhibit knowledge of MLOps practices, enabling smooth integration of machine learning models into production systems and maintaining their lifecycle.Demonstrate an intermediate level of proficiency in on-prem platforms (e.g., AWS, Azure, GCP) to ensure efficient and scalable deployment of machine learning solutions.Stay up to date with the latest advancements in data science, machine learning, and AI technologies to provide innovative insights and solutionsCarry out open-ended data mining and analysis for medium to large datasets from disparate sourcesUnderstanding of data science model deployment techniques in containerized environments like Kubernetes
About C5i :C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.
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