Data Scientist – Aws

Company Description

Cydez Technologies is a prominent IT Digital Transformation and IT Service Management company based in Kochi, Kerala. The organization specializes in delivering innovative digital solutions that help businesses optimize their operations and achieve exceptional efficiency. By leveraging cutting-edge technologies and offering top-notch services, Cydez Technologies crafts tailored IT strategies and robust management solutions. The company is committed to empowering organizations to overcome digital challenges and drive sustainable growth. Immediate joiners preferred.

Experience : 5 to 8 Years

Location : [Hyderabad ”Hybrid”]

Employment Type : contract / permanent

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 :

Bachelor’s or Master’s degree in Computer Science, Statistics,

Mathematics, Data Science, or related field.

5–8 years of professional experience in data science, machine learning, or

advanced analytics.

Proficiency in Python (pandas, numpy, scikit-learn, TensorFlow, PyTorch, etc.)

and SQL.

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

analysis techniques.

Experience with version control (Git) and CI / CD pipelines for ML model

deployment.

Strong problem-solving, communication, and stakeholder management skills.

Preferred Skills :

Experience with MLOps frameworks (e.G., MLflow, Kubeflow, or AWS

SageMaker Pipelines).

Familiarity with NLP, time-series forecasting, or computer vision.

Exposure to data visualization tools like QuickSight, Power BI, or Tableau.

Knowledge of containerization (Docker) and orchestration (Kubernetes).

Soft Skills :

Strong analytical and critical-thinking abilities.

Excellent communication and presentation skills.

Ability to work independently and collaboratively in a fast-paced environment.

High attention to detail and strong business acumen.