Hiring For Data Scientist

1 day ago

Bengaluru, Karnataka, India Risk Resources LLP Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Overview The Data Scientist is a critical role within our organization, as it bridges the gap between data and actionable insights. By leveraging advanced analytics and statistical techniques, the Data Scientist will help drive data-informed decision-making that contributes to the overall strategic goals of the company. This position involves designing and implementing sophisticated algorithms, building robust predictive models, and utilizing machine learning techniques to interpret vast datasets. The ideal candidate will possess a blend of technical expertise and domain understanding, enabling them to uncover trends, make predictions, and provide recommendations that lead to transformative business outcomes. The Data Scientist will bring together cross-functional teams to communicate insights effectively and support the development of data-driven products and services. Key Responsibilities
  • Analyze large datasets and extract meaningful insights.
  • Develop predictive models and machine-learning algorithms.
  • Communicate results to stakeholders using clear visualizations.
  • Work with cross-functional teams to define data objectives.
  • Design experiments to gather data for predictive modeling.
  • Monitor and maintain existing data models for performance.
  • Utilize statistical tools to identify trends and patterns.
  • Implement data preprocessing techniques to clean data.
  • Collaborate with software engineers to integrate data solutions.
  • Develop dashboards and reports for data visualization.
  • Research and implement new analytical techniques and technologies.
  • Provide thought leadership in data analytics best practices.
  • Translate business problems into analytical solutions.
  • Participate in data governance initiatives to ensure data quality.
  • Mentor junior data scientists and analysts as needed.
Required Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.
  • Advanced degree (Master's or Ph.D.) in Data Science or related discipline preferred.
  • 3-5 years of experience in a data analytics or data science role.
  • Proficiency in programming languages such as Python or R.
  • Experience with statistical analysis and data mining techniques.
  • Hands-on experience with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of SQL and database management systems.
  • Strong understanding of machine learning algorithms and libraries.
  • Excellent problem-solving skills and analytical thinking.
  • Ability to work under tight deadlines and manage multiple projects.
  • Experience with cloud-based data platforms (e.g., AWS, Azure).
  • Effective communication skills for presenting complex data insights.
  • Strong attention to detail and commitment to data quality.
  • Willingness to learn and adapt to new technologies.

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