Data Scientist
1 week ago
**Responsibilities -**
- Data Analysis and Interpretation
- Collect, clean, and preprocess large datasets from various sources.
- Perform exploratory data analysis to identify patterns, trends, and insights**.**:
- Model Development and Implementation
- Develop and implement machine learning models and algorithms to solve business problems
- Optimize and fine-tune models to ensure accuracy and efficiency. AWS Cloud Integration
- Utilize AWS services such as S3, EC2, RDS, Redshift, Bedrock and Sage Maker for data storage, processing, and model deployment. Implement data pipelines using AWS Glue, Lambda, and other relevant services.
- Collaboration and Communication
- **Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to understand data needs and deliver solutions**:
- Communicate findings and insights to stakeholders through reports, visualizations, and presentations.
- **Continuous Improvement: Stay up to date with the latest trends and advancements in data science and AWS technologies.**:
- Continuously improve processes and methodologies to enhance the quality and efficiency of data science projects.
**Required Skills-**
- They have at least 3+years of experience as a Data Scientist, specializing in AWS AI and Data Analytics.
- Knowledge of Microsoft Azure is a bonus. Extensive hands-on experience with AWS services such as Amazon Bedrock, Amazon Sage Maker, Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc
- Strong understanding of AWS services and architecture. Proficiency in data processing and analysis using tools like SQL, Pandas, NumPy, and Spark, and experience with data manipulation and transformation.
- Good understanding of data modeling, ETL processes, data warehousing, and data governance principles.
- Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.
- Knowledge of data governance and compliance standards.
- Strong communication skills to effectively collaborate with technical and nontechnical teams. Experience in working with Agile methodologies and version control system
**Education and Certification-**
- Bachelors or associate degree in IT discipline
- Certification in AWS Certified: AI Practitioner or AWS Certified: Machine Learning Engineer is added advantage
Office location
- Noida( Onsite)
Pay: ₹600,000.00 - ₹1,200,000.00 per year
Application Question(s):
- How much experience do you have with Data Scientist?
- You would able to relocate/commute to Noida?
- Are you willing to work with startup?
- Ideal answer: Yes
We must fill this position urgently. Can you start immediately?
**Experience**:
- total work: 3 years (required)
Work Location: In person
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