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Data Scientist Job Opening In Jaipur – Now Hiring SystemBender


Job description

Role: Data Scientist – AWS

Location: Gurgaon/Pune/Bengaluru (Remote)

Duration: 03-06 Months (Possibility of extension)


Job Description:

We are seeking a highly skilled and experienced Data Scientist for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform.

The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges.

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 SageMaker 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.

Skills

  • Proven experience (3+ years) as a Data Scientist, with a focus on AWS AI and Data Analytics technologies, and experience and knowledge on Microsoft Azure AI and Data Analytics technology is a plus.

  • Extensive hands-on experience with AWS services such as Amazon Bedrock, Amazon SageMaker, 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 non-technical teams.

  • Experience in working with Agile methodologies and version control systems.

  • Proven ability to work independently and manage multiple priorities effectively.

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.

What we need to see from you

  • Report to practice lead.

  • Work closely with sales team to develop opportunities and solution proposal
  • Work within project team to develop and test data analytics platform and model
  • Design, develop, and unit test in accordance with established standards.

  • Assist project team in analyzing and resolving technical issues.

  • Assist in preparing manuals, specification and other technical documentations.

  • Package and support deployment releases.

  • Assisting in the collection and documentation of user's requirements, development of user stories, and estimates.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Jaipur, India, highlighting market share and opportunities for professionals in Data Scientist roles.

149746 Jobs in India
149746
960 Jobs in Jaipur
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Download Data Scientist Jobs Trends in Jaipur and India

Are You Looking for Data Scientist Job?

Great news! is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SystemBender adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Jaipur. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist Job Success

SystemBender interview tips for Data Scientist

Here are some tips to help you prepare for and ace your Data Scientist job interview:

Before the Interview:

Research: Learn about the SystemBender's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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During the Interview:

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Final Thought:

To prepare for your Data Scientist interview at SystemBender, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SystemBender's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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