You will identify and address client needs through advanced data modeling and machine learning techniques.
Responsibilities
- Apply Machine Learning, Deep Learning, and Natural Language Processing (NLP) to solve complex problems.
- Develop and implement Generative AI solutions.
- Perform data wrangling and modeling to extract actionable insights.
- Manage structured and unstructured data using various storage technologies.
- Build and maintain data pipelines using big data tools.
Required Skills
- 5+ years of experience in data science roles.
- Proficiency in Python, R, Java, and SQL.
- Experience with Jupyter Notebooks and standard IDEs.
- Knowledge of structured data storage such as SQL Server and PostgreSQL.
- Experience with unstructured data storage including MongoDB and Neo4j.
- Hands-on work with big data tools like Hadoop, Spark/PySpark, and Kafka.
- Competency in visualization tools such as Tableau, Zoomdata, or PowerBI.
- Familiarity with DevOps tools including Git, Jenkins, and Docker.
- Experience with testing tools like Selenium, Cucumber, or Postman.