Data Scientist Job in Aqe Digital (formerly Aqe Group)
Data Scientist
Aqe Digital (formerly Aqe Group)
4+ weeks ago
- Ahmedabad, Gujarat
- Not Disclosed
- Full-time
Job Summary
Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Data Scientist
Roles and Responsibilities:
Data Mining & Extraction:
- Extract valuable, usable data from various data sources to support business objectives and analytic systems development.
Machine Learning & Model Optimization:
- Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis.
Data Preprocessing & Cleansing:
- Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy.
Enhancing Data Collection:
- Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems.
Data Validation & Integrity:
- Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling.
Pattern Analysis & Solution Development:
- Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems.
Prediction & Algorithm Development:
- Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making.
Result Presentation:
- Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption.
Solution Proposal & Strategy Development:
- Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions.
Collaboration with Teams:
- Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems.
Requirements:
Educational Background:
- Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
Experience & Leadership:
- Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions.
Communication & Collaboration Skills:
- Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences.
Adaptability:
- Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively.
Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

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