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Data Scientist

1 month ago


Bengaluru, Karnataka, India Drimlite Full time

Job Title : Data Scientist

Location : A global company like Drimlite

Work Mode : Hybrid

Budget : Competitive salary and benefits package

Job Description :

Role Overview : At Drimlite, we are seeking a skilled Data Scientist to leverage their expertise in data analysis, statistical modeling, and data visualization to drive business growth. As a key member of our team, you will collaborate closely with cross-functional teams to analyze complex datasets, develop predictive models, and deliver actionable insights that inform strategic business decisions.

Key Responsibilities

  • Forecasting Models : Develop and implement forecasting models to predict future business trends with high accuracy.
  • Data Extraction & Manipulation : Create and maintain SQL queries and scripts for extracting, transforming, and loading data from diverse sources.
  • Visualization & Dashboards : Design and develop interactive visualizations and dashboards to effectively communicate insights and support decision-making processes.
  • Collaboration : Work with stakeholders to understand business needs and deliver data-driven solutions that align with organizational goals.
  • Process Improvement : Continuously evaluate and refine existing data processes and models to enhance efficiency and effectiveness.

Must-Have Skills
  • Visualization : Expertise in designing and creating compelling visualizations and dashboards.
  • Forecasting Models : Proven experience in developing and applying forecasting models.
  • MLOps : Familiarity with MLOps practices for managing and deploying machine learning models.
  • Machine Learning : Strong understanding of machine learning algorithms and their applications.
  • SQL : Proficiency in SQL for data extraction and manipulation.
  • Python : Advanced skills in Python for data analysis and modeling.

Qualifications
  • 4-6 years of relevant experience in data science or a related field.
  • Demonstrated ability to work with large datasets and apply statistical analysis techniques.
  • Excellent problem-solving skills and attention to detail.