About Omniful:
Omniful.ai is a cutting-edge B2B SaaS platform revolutionizing [specify niche if applicable] by delivering advanced, AI-driven solutions tailored to modern businesses. At Omniful.ai, we empower organizations with actionable insights and innovative tools to optimize their operations and drive impactful outcomes.
We are seeking a Data Science Engineer with 2+ years of professional experience to join our talented team in Gurugram, India, and play a critical role in shaping the future of our data-centric initiatives. If you're passionate about leveraging data to solve complex problems and creating value through innovative AI solutions, we want to hear from you!
Key Responsibilities:
- Data Pipeline Development: Design, build, and maintain scalable data pipelines for processing and integrating large datasets from multiple sources. Worked in OLAP, OLTP data sources
- ETL’s/ELT’s: Worked with ETL’s/ELT’s like Airflow and used it with data warehouses.
- Data Warehouses: Worked with data warehouses like Clickhouse, and multiple OLAP, OLTP data sources.
- Model Development: Develop, train, and deploy machine learning models for predictive analytics, optimization, and other advanced data applications.
- Data Analysis: Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights to drive decision-making.
- Infrastructure Management: Collaborate with DevOps and engineering teams to ensure robust data infrastructure, scalability, and performance.
- Collaboration: Work closely with product managers, software engineers, and business stakeholders to define requirements and deliver data-driven solutions.
- Optimization: Continuously refine algorithms and processes to improve model accuracy, performance, and efficiency.
- Documentation: Maintain clear, concise documentation for all processes, models, and systems.
Required Skills and Qualifications:
- Experience: 2+ years of professional experience in data science, machine learning, or related fields.
- Educational Background: Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Big Data Tools: Hands-on experience with Hadoop, Spark, or other distributed data frameworks.
- Database Management: Proficiency in SQL and familiarity with NoSQL databases (e.g., MongoDB).
- Cloud Platforms: Experience with AWS, Azure, or Google Cloud for data science and machine learning applications.
- Visualization Tools: Proficiency in Tableau, Power BI, or similar visualization platforms.
- Algorithms & Statistics: Deep understanding of statistical methods, machine learning algorithms, and their real-world applications.
- Problem-Solving: Strong analytical and critical thinking skills to solve complex challenges effectively.
Preferred Skills:
- Knowledge of MLOps practices, tools, and frameworks.
- Experience with natural language processing (NLP) and/or computer vision.
- Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.
- Prior experience in SaaS or B2B-focused organizations.
What We offer:
- Competitive salary and performance-based incentives.
- Flexible working hours and the option for remote work depending on the work requirement .
- A collaborative and innovative work environment.
- Opportunities for professional growth and development.
- Access to cutting-edge tools and technologies.
How to Apply:
If you're ready to contribute to a fast-paced, innovative company and make a meaningful impact, we'd love to hear from you. Please submit your resume and a cover letter detailing your experience and passion for data science to monika.dixit@omniful.ai.
