Data Scientist AWS
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Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Data Scientist - AWS
Experience: 5 to 8 Years
Location: Hyderabad Hybrid
Employment Type: Contract
Job Summary:
We are looking for an experienced Data Scientist with strong expertise in building
and deploying data-driven solutions on AWS cloud platforms. The ideal candidate
will have hands-on experience with machine learning statistical modeling data
engineering and data visualization coupled with the ability to translate complex
business problems into analytical solutions.
Key Responsibilities:
Design develop and deploy machine learning models and analytical
solutions using AWS cloud services.
Perform data cleaning feature engineering and exploratory data
analysis (EDA) on large complex datasets.
Build predictive and prescriptive models using Python and relevant ML
libraries (e.g. scikit-learn TensorFlow PyTorch).
Work closely with data engineers and business stakeholders to ensure
seamless data pipelines and actionable insights.
Implement and automate model training validation and deployment
workflows using AWS services such as SageMaker Lambda Glue and
Step Functions.
Evaluate model performance and optimize for accuracy scalability and
interpretability.
Communicate analytical findings effectively through dashboards
visualizations and presentations using tools such as Tableau Power BI or
QuickSight.
Stay current with emerging AI/ML and AWS technologies and recommend
improvements to existing systems.
Required Skills & Qualifications:
Bachelors or Masters degree in Computer Science Statistics
Mathematics Data Science or related field.
5-8 years of professional experience in data science machine learning or
Proficiency in Python (pandas numpy scikit-learn TensorFlow PyTorch etc.)
advanced analytics.
and SQL.
analysis techniques.
deployment.
Strong hands-on experience with AWS services such as:
o SageMaker Glue Lambda Redshift S3 Athena and EC2.
Solid understanding of data modeling data preprocessing and statistical
Experience with version control (Git) and CI/CD pipelines for ML model
Strong problem-solving communication and stakeholder management skills.
Experience: 5 to 8 Years
Location: Hyderabad Hybrid
Employment Type: Contract
Job Summary:
We are looking for an experienced Data Scientist with strong expertise in building
and deploying data-driven solutions on AWS cloud platforms. The ideal candidate
will have hands-on experience with machine learning statistical modeling data
engineering and data visualization coupled with the ability to translate complex
business problems into analytical solutions.
Key Responsibilities:
Design develop and deploy machine learning models and analytical
solutions using AWS cloud services.
Perform data cleaning feature engineering and exploratory data
analysis (EDA) on large complex datasets.
Build predictive and prescriptive models using Python and relevant ML
libraries (e.g. scikit-learn TensorFlow PyTorch).
Work closely with data engineers and business stakeholders to ensure
seamless data pipelines and actionable insights.
Implement and automate model training validation and deployment
workflows using AWS services such as SageMaker Lambda Glue and
Step Functions.
Evaluate model performance and optimize for accuracy scalability and
interpretability.
Communicate analytical findings effectively through dashboards
visualizations and presentations using tools such as Tableau Power BI or
QuickSight.
Stay current with emerging AI/ML and AWS technologies and recommend
improvements to existing systems.
Required Skills & Qualifications:
Bachelors or Masters degree in Computer Science Statistics
Mathematics Data Science or related field.
5-8 years of professional experience in data science machine learning or
Proficiency in Python (pandas numpy scikit-learn TensorFlow PyTorch etc.)
advanced analytics.
and SQL.
analysis techniques.
deployment.
Strong hands-on experience with AWS services such as:
o SageMaker Glue Lambda Redshift S3 Athena and EC2.
Solid understanding of data modeling data preprocessing and statistical
Experience with version control (Git) and CI/CD pipelines for ML model
Strong problem-solving communication and stakeholder management skills.
Required Skills:
TABLEAUKUBERNETESPYTORCHSAGEMAKERPYTHONDATA MODELINGCI/CDTENSORFLOWSQLMLGITAWSPOWER BI
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
