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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.

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Rayvector Technologies

Software & Data Analytics

San Francisco

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