Location
Noida | India
Job description
Job summary:
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Responsibilities: - Collecting and gathering relevant data from various sources.
- Cleaning and preprocessing data to ensure accuracy and consistency.
- Applying statistical and machine learning techniques to analyze data.
- Selecting and creating relevant features that contribute to the performance of the model.
- Collaborating with cross-functional teams, including business stakeholders and IT professionals.
- Identifying business problems that can be addressed through data analysis.
Required Skills: - Fundamentals of Data Science
- Statistics
- Programming knowledge- Python/R
- Data Manipulation and Analysis
- Data Visualization
- Machine Learning
- Deep Learning
- Big Data
- Software Engineering- the basic lifecycle of software development projects, data types, compilers, time-space complexity, etc.
- Model Deployment
- Cloud computing- AWS/Azure
- Excellent attention to detail and strong documentation skills.
- Outstanding verbal and written communication skills.
- Strong organizational and interpersonal skills.
- Exceptional problem-solving abilities.
Education & Experience: - Bachelor's degree in Technical Background or a related field is required.
- 4+ Years of experience
Employee Benefits: - Employee Health Insurance and Wellness program.
- Competitive salary, benefits, and special allowances in the compensation package.
- Continual learning and development opportunities for career growth.
Job tags
Salary
