Data Scientist

Scry AI, founded in 2014, develops enterprise-grade AI solutions, purpose-built to solve complex, high-value challenges across industries. All its products are fueled by the power of three main integrated platforms, Collatio®, Concentio®, and Auriga®, enabling the following:

• Collatio® delivers advanced document intelligence across finance, legal, compliance, engineering, and archival domains. Key solutions include accounts payable automation, enhanced due diligence, financial spreading, digital archiving of key resources, and extracting structured data from engineering schematics.

• Concentio® is a cognitive IoT orchestration platform that integrates edge devices, real-time processing, and AI-powered insights. It supports diverse use cases such as predictive maintenance, environmental monitoring, and smart infrastructure management.

• Auriga® transforms enterprise knowledge into actionable intelligence using conversational AI. Through multilingual chat, voice, and digital avatars, it delivers traceable insights from structured and unstructured data in real time.

All solutions are powered by proprietary AI algorithms, tailored to deliver an accuracy of up to 99%, explainability, and industry-specific needs. Built for secure, compliant enterprise deployment, Scry AI's platforms are SOC 2 and ISO 27001 certified, trusted by leading global organizations to modernize operations and accelerate decision-making.

We are a research-driven company where data scientists are empowered to innovate at scale. If you're passionate about building generative AI models, deploying deep learning systems, or architecting data-centric pipelines, your work at Scry AI will directly influence real-world enterprise transformation.

At Scry AI, your ideas don’t just inform strategy, they drive it!

Learn more about all products on: scryai.com

Current Opening:

Title: Data Scientist

Experience: 4 to 6 years

Skill Sets: GEN AI (LLM), Python, Scikit-learn, SQL, k-means, decision trees, random

forests, neural networks, genetic algorithms

About the Role

Design and develop Predictive Analytics and Prescriptive Analytics architecture, and features for artificial intelligence software solutions, including developing machine learning and statistical models to perform big data analysis.

Duties will include the following:

• Research, design, and develop algorithms and techniques to perform data manipulation and transformation; build generative and discriminative models to perform clustering, classification, regression, and recommendation systems.
• Design and build custom machine learning models.
• Building GEN AI (LLM) pipelines using LangChain, LlamaIndex, Vector DBs, embedding generation, and Hugging Face.
• Build and implement machine learning algorithms to plan, create, coordinate, and deploy business information solutions; gather business requirements and technical specifications for developing analytics solutions.
• Develop artificial intelligence and machine learning algorithms.
• Custom design and implement various techniques in machine learning such as support vector machines, neural networks, genetic algorithms, principal component analysis, cluster analysis, k-means, decision trees, random forests, regression analysis, Bayesian analysis, Naïve Bayes, and deep learning.
• Analyze large, complex, and multi-dimensional data sets.
• Develop analytic solutions using R, Python, Scikit-learn, SQL, and similar statistical tools and frameworks.
• Utilize Deep Learning neural networks, including RNN, CNN, LSTM, and Autoencoder, to predict the behavior and performance of businesses.

Requirements:

• Master’s degree (or equivalent*) in Data Informatics, Computer Science, Applied Mathematics, Statistics, Analytics, or a related field such as Computer Science and Engineering.
• Minimum 4+ years of relevant experience in the job offered or as a Software Engineer, Software Engineering Analyst, Application Developer, or Programmer Analyst.
• Minimum 2 years of experience with algorithm design and development, software architecture development; data engineering, data structures, data visualization, and statistical data analysis.
• Artificial Intelligence (AI) and deep learning techniques; feature synthesis, engineering, and hyperparameter tuning.
• Natural Language Processing; Machine Learning, including Bayesian modeling, multivariate and logistic regression, support vector machines, cluster analysis, decision and regression trees, random forest, neural networks, and ensemble methods; analyzing large, complex, multi-dimensional data sets and developing
• analytic solutions.
• Experience working with structured and unstructured data (text, image).
• Working experience with unstructured data, such as audio and video, is not mandatory but will be an added advantage.
• Experience in predictive analytics using R, Python, Scikit-learn, and SQL, PostgreSQL statistical tools; Spark, Hadoop, Unix O/S, GitHub; and programming languages Java, Python, R.

Our perfect candidate is someone who:

• Is proactive and an independent problem solver.
• Is a constant learner. We are a fast-growing company. We want you to grow with us!
• Is a team player and a good communicator.