Data Scientist

About Us:

We are a global AI company dedicated to delivering innovative enterprise solutions by integrating cutting-edge technology into our products. We value creativity, innovation, and collaboration, and we are looking for a skilled Data Scientist to join our team.

Role Overview:

As a Data Scientist at our company, you will play a pivotal role in driving our AI initiatives forward. You will work on developing and deploying machine learning models, collaborating closely with cross-functional teams to ensure high-quality deliverables under tight SLAs. Your ability to work independently, think critically, and communicate effectively will be key to your success.

Key Responsibilities:

• Model Development: Develop and train machine learning models using advanced algorithms to solve complex business problems.
• Data Pipeline Collaboration: Work with data engineers to design and optimize data pipelines for efficient data flow and preprocessing.
• Accuracy & Reliability: Ensure the accuracy, reliability, and scalability of developed models, adhering to best practices in machine learning.
• Agile Environment: Participate actively in Agile sprints, delivering high-quality results within tight deadlines.
• Problem-Solving: Identify and address challenges in data quality, model performance, and deployment processes.
• Documentation & Communication: Maintain detailed documentation of models, datasets, and processes. Communicate insights and recommendations to stakeholders effectively.
• Continuous Learning: Stay updated with industry trends, new tools, and advancements in AI/ML to continuously improve our solutions.

Requirements:

• Proficiency in Python or R programming languages.
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques.
• Experience with popular ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with data manipulation tools like Pandas, NumPy, and Matplotlib.
• Knowledge of cloud platforms (AWS, Azure, GCP) for model deployment.
• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication skills to articulate complex technical concepts to non-technical stakeholders.
• Flexibility to align with global team collaboration and meeting schedules.

Nice-to-Have:

• Advanced degree (Ph.D.) in Data Science, Machine Learning, or a related field.
• Contributions to open-source projects or research publications in AI/ML.
• Experience working with large-scale datasets and distributed computing frameworks like Hadoop or Spark.

Why Join Us?

• Opportunity to work on cutting-edge AI projects with real-world impact.
• Collaborative and innovative work environment.
• Flexible remote work arrangements.
• Professional growth and development opportunities.