Data Scientist

About The Company

Katonic AI is a leading technology firm specializing in artificial intelligence and data science solutions. Our mission is to empower organizations by leveraging cutting-edge AI technologies to solve complex business challenges. With a focus on innovation, we develop scalable and customized AI solutions that drive digital transformation across various industries. Our team is composed of passionate professionals dedicated to advancing AI capabilities and delivering measurable value to our clients. At Katonic AI, we foster a collaborative and inclusive work environment that encourages continuous learning and professional growth.

About The Role

We are seeking a motivated Data Scientist with 2-3 years of experience to join our dynamic team. The ideal candidate will possess a blend of technical expertise and strong client-facing skills, enabling them to work directly with customers on AI and data science projects. In this role, you will be responsible for analyzing complex datasets, developing and refining machine learning models, and translating technical insights into actionable business strategies. You will serve as a key point of contact for clients, managing project timelines, gathering requirements, and ensuring the successful delivery of solutions. This position offers an excellent opportunity for individuals who thrive in a fast-paced environment, enjoy hands-on technical work, and are passionate about delivering impactful AI solutions.

Qualifications

Candidates should possess a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. A solid foundation in data analysis, machine learning, and AI concepts is essential. Prior experience in client engagement and project management is highly desirable. Candidates must demonstrate a strong technical skill set, excellent communication abilities, and a proactive approach to problem-solving. Familiarity with cloud platforms, MLOps practices, and modern data tools will be considered advantageous.

Responsibilities

As a Data Scientist at Katonic AI, your responsibilities will include:

• Analyzing structured and unstructured data to generate actionable business insights.
• Building, evaluating, and optimizing machine learning and AI models, including NLP, Generative AI, RAG, and LLM-based solutions.
• Preparing datasets, performing feature engineering, and assessing model performance to ensure accuracy and robustness.
• Developing dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Collaborating with engineering teams to facilitate model deployment, monitoring, and maintenance.
• Acting as the primary point of contact for assigned clients, understanding their business needs, and translating these into technical solutions.
• Gathering detailed requirements, managing project timelines, and coordinating with internal teams to ensure timely delivery.
• Conducting product demonstrations, preparing technical documentation, and providing comprehensive project reports.
• Handling client queries, resolving issues, and maintaining strong relationships to foster long-term partnerships.

Joining Katonic AI offers numerous benefits, including competitive compensation packages, opportunities for professional development, and exposure to innovative AI projects. We provide a collaborative work environment that values diversity and inclusion, encouraging employees to grow their skills and advance their careers. Our benefits package includes health insurance, flexible work arrangements, and access to cutting-edge tools and technologies. Additionally, employees have the chance to work with industry experts and contribute to impactful solutions that shape the future of AI and data science.

Equal Opportunity

Katonic AI is an equal opportunity employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other protected characteristic. We believe diversity drives innovation and are dedicated to fostering a workplace that reflects the varied perspectives and experiences of our team members.