Company Overview

Diginnovators is a leading tech company committed to driving innovation through data-driven solutions. Our mission is to empower organizations with the insights they need to succeed in today's data-centric world. We value creativity, collaboration, and a strong work ethic, fostering a culture where talented professionals can thrive and make impactful contributions.

Role Responsibilities

• Design and implement complex data models to solve business problems.
• Analyze large data sets to extract actionable insights.
• Develop machine learning algorithms and predictive models.
• Collaborate with cross-functional teams to define data requirements.
• Present findings and recommendations to stakeholders effectively.
• Create data visualizations to illustrate trends and patterns.
• Perform statistical analysis to validate models and results.
• Stay updated with emerging technologies and industry trends.
• Mentor junior data scientists and provide guidance.
• Document methodologies and processes for reproducibility.
• Communicate complex data concepts to non-technical audiences.
• Implement best practices for data governance and quality assurance.
• Participate in strategic planning for data projects.
• Conduct experiments and hypothesis testing to drive improvement.
• Build robust data architecture for seamless data flow.
  
  

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, or a related field.
• Proven experience as a Data Scientist or in a similar role.
• Strong programming skills in Python, R, or similar languages.
• Experience with SQL and data manipulation.
• Familiarity with big data frameworks (e.g., Hadoop, Spark).
• Solid understanding of machine learning algorithms and their applications.
• Excellent analytical and problem-solving skills.
• Ability to work with complex data structures.
• Strong communication skills for effective presentation of data insights.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of statistical methods and data mining techniques.
• Experience in a collaborative team environment.
• Strong attention to detail and a commitment to quality.
• Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.
• Experience in a fast-paced, innovative environment.
  
  

Skills: statistical modeling,big data technologies,predictive analytics,data mining techniques,cloud platforms (aws, azure),data governance,data modeling,big data frameworks (hadoop, spark),communication skills,machine learning,data analysis,statistical analysis,sql,programming (python, r),data visualization