Ingenius Technologies and Consulting
Ingenius Technologies and Consulting is a company that specializes in Hybrid Intelligence, merging artificial intelligence analytics with human insight to provide dynamic and efficient business solutions. They offer a variety of products and services including AI-driven forecasting tools, custom AI solutions, data analytics and insights, as well as AI strategy and advisory services. Ingenius is dedicated to helping clients succeed in their AI initiatives by leveraging advanced technologies and human creativity.
consulting • Platform for Physical Commodity Companies • Risk Management • Analytics • Risk Management
Senior Data Scientist
4 days ago
Ingenius Technologies and Consulting
Ingenius Technologies and Consulting is a company that specializes in Hybrid Intelligence, merging artificial intelligence analytics with human insight to provide dynamic and efficient business solutions. They offer a variety of products and services including AI-driven forecasting tools, custom AI solutions, data analytics and insights, as well as AI strategy and advisory services. Ingenius is dedicated to helping clients succeed in their AI initiatives by leveraging advanced technologies and human creativity.
consulting • Platform for Physical Commodity Companies • Risk Management • Analytics • Risk Management
📋 Description
• We are an innovative AI SaaS startup that develops cutting-edge AI solutions and provides expert consulting services. • Our mission is to empower businesses with state-of-the-art AI technologies and data-driven insights. • We're looking for a talented Data Scientist to join our team and help drive our product development and consulting initiatives. • As a Data Scientist at our startup, you will play a crucial role in developing AI-powered solutions for our SaaS platform and providing expert guidance to our consulting clients. • You will work closely with cross-functional teams to design, implement, and optimize machine learning models that solve complex business problems. • Handling Microsoft Azure ecosystem, Data Factory, and other Azure services. • Strong understanding of programming languages like Python, R, SQL, and/or Spark for data manipulation and analysis to fellow teammates. • Define and manage analytics, data science, and AI strategy across multiple business verticals. • Provide expertise in Machine Learning and Artificial Intelligence, contributing to model development, refinement, and implementation. • Oversee teams of data scientists, resolving bottlenecks in project execution across manufacturing, supply chain, marketing, R&D, commercial, sales, and legal. • Collaborate with business teams to develop and implement analytics solutions. • Work closely with data engineering, application engineering, and enterprise architecture teams to implement scalable solutions. • Communicate insights effectively to technical and non-technical audiences. • Stay updated on the latest research and best practices in Data Science, Machine Learning, Deep Learning, Natural Language Processing, MLOps, and Generative AI. • Drive a culture of knowledge-sharing, innovation, and continuous improvement within the team.
🎯 Requirements
• 4-year Engineering degree. • An MBA or any specialized course work in Data Science is a plus. • Work experience in Pharma/Healthcare is advantageous but not mandatory. • Master's or Ph.D. in Computer Science, Data Science, Applied Mathematics, or a related field is a Plus. • 8+ years of professional experience in data science or machine learning is preferred. • Strong programming skills in Python, with experience in data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). • Expertise in statistical analysis, machine learning algorithms, and deep learning techniques. • Experience with big data technologies (e.g., Hadoop, Spark) and SQL databases. • Excellent problem-solving skills and ability to translate complex problems into actionable insights. • Strong communication skills to effectively present findings to both technical and non-technical stakeholders. • Master's degree in a relevant field. • Experience in developing and deploying machine learning models in production environments. • Familiarity with cloud platforms, preferably orthogonal tech-stacks AWS. • Knowledge of data visualization tools (e.g., Tableau, Power BI). • Experience in natural language processing (NLP), Gen AI, or computer vision. • Background in a relevant industry (e.g., finance, healthcare, retail) for domain expertise. • Contributions to open-source projects or published research papers. • Experience in consulting role or working directly with clients. • Understanding of data governance and compliance regulations (e.g., GDPR, CCPA).
🏖️ Benefits
• Cutting-edge Technology: Opportunity to work on cutting-edge AI projects and shape the future of data visualization. • Rapid Growth: Be part of a high-growth startup with endless opportunities for career advancement. • Impactful Work: See your contributions make a real difference in how businesses operate. • Collaborative Culture: Join a diverse team of brilliant minds from around the world. • Flexible Work Environment: Enjoy remote work options and a healthy work-life balance. • Competitive Compensation as per market.
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