Data Scientist

4 days ago

Delhi, India Xander Talent Full time
Key Responsibilities

- Data Modelling: Perform effective data modeling and analysis to support ML applications.- Cloud-Based Data Operations: Work with cloud platforms (AWS, Azure, or GCP) to perform data analysis and modeling tasks.- Data Visualization: Create impactful dashboards and visualizations using tools like Shiny, Dash, Streamlit, PowerBI, or Tableau.- Machine Learning & Deep Learning Tools: Leverage frameworks such as H2O.ai, Spark Mllib, TensorFlow, PyTorch, Scikit-learn, XGBoost, and Stan for developing models.- Advanced Data Analysis: Apply statistical analysis, Bayesian methods, MCMC, ensemble learning, neural networks, and other advanced techniques.- Database Management: Manage data using SQL, NoSQL, Pig, Hive, and other database systems.- Scripting: Write robust scripts in Python and/or R for data processing and ML pipelines.- Distributed Computing: Utilize Big Data technologies like Hadoop, Hive, HBase, Spark, and Databricks for scalable data processing.- Natural Language Processing (NLP): Implement NLP techniques using libraries like Spacy, NLTK, etc.

Key Requirements

Technical Skills:

- Data Modelling and Analysis: Expertise in statistical methods, machine learning techniques, and advanced analytics.- Cloud Computing: Proficiency in AWS, Azure, or GCP platforms.- Visualization Tools: Experience with Shiny, Dash, Streamlit, PowerBI, or Tableau.- ML Frameworks: Strong knowledge of TensorFlow, PyTorch, Scikit-learn, and other libraries.- Big Data Technologies: Hands-on experience with Hadoop, Hive, HBase, Spark, and Databricks.- Database Management: Skilled in SQL and NoSQL databases.- Programming: Proficiency in Python and/or R scripting.- NLP: Knowledge of natural language processing techniques and tools like Spacy, NLTK, etc.

Soft Skills:

- Communication Skills: Strong presentation and interpersonal communication abilities.- Analytical Mindset: Ability to analyze and comprehend complex situations and provide actionable insights.- Teamwork: Flexibility, adaptability, and a collaborative approach to working in dynamic team environments.

Preferred Qualifications

- Master’s or PhD in Computer Science, Data Science, Statistics, or related fields.- Previous experience with real-world applications of machine learning in industry.

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