
Rayvector Technologies provides advanced AR/VR and AI solutions to help organizations adopt immersive tech. We offer interactive content, AI integration, and synthetic data generation to improve…

Rayvector Technologies provides advanced AR/VR and AI solutions to help organizations adopt immersive tech. We offer interactive content, AI integration, and synthetic data generation to improve…
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Experience : 1+ Years
Location :Banglore
Employment Type : Full-Time
We are looking for a Data Scientist with minimum 1 year of experience to support our data-driven initiatives. The ideal candidate should be skilled in data analysis, machine learning, and visualization, with a strong ability to translate data insights into actionable business outcomes.
Key Responsibilities:
• Collect, clean, and preprocess structured and unstructured datasets.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Develop and implement predictive models and machine learning algorithms.
• Evaluate model performance and optimize accuracy.
• Create dashboards and visual reports to present insights to stakeholders.
• Collaborate with data engineers and analysts for data pipeline development.
• Stay updated with emerging data science tools and techniques.
Required Skills and Qualifications:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Around 1 year of experience in data analytics or data science roles.
• Strong knowledge of Python or R for data manipulation and modeling.
• Familiarity with libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Understanding of SQL and data querying.
• Basic experience with data visualization tools (Tableau, Power BI, or Matplotlib).
• Knowledge of machine learning concepts, data wrangling, and feature engineering.
Good to Have:
• Exposure to NLP, time-series forecasting, or computer vision.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with big data frameworks like Spark or Hadoop.
Soft Skills:
• Strong analytical and problem-solving mindset.
• Good communication and collaboration skills.
• Attention to detail and eagerness to learn new technologies.