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Data Scientist Engineer (Trained Fresher)
About the Company
Inspironlabs is seeking a highly motivated Data Scientist Engineer (Trained Fresher) to contribute to our data-driven initiatives. In this role, you will be instrumental in extracting actionable insights from extensive datasets to facilitate informed strategic decision-making. This position provides an ideal opportunity for individuals seeking to leverage machine learning methodologies, data modeling expertise, and statistical analysis proficiencies within a dynamic, real-world business context.
Job Description
This is a full-time position located in Bangalore, Karnataka.
Experience: 0-1 Year
| Company Name | Inspironlabs |
|---|---|
| Role | Data Scientist Engineer (Trained Fresher) |
| Location | Bangalore, Karnataka |
| Salary | |
| Job Type | Full Time |
Responsibilities
- Conduct comprehensive analysis and interpretation of intricate datasets utilizing a variety of statistical techniques to identify key trends and patterns.
- Design, develop, and implement predictive models and sophisticated machine learning algorithms to address specific business challenges.
- Perform data cleansing, preparation, and validation procedures to ensure data integrity and accuracy for subsequent analysis.
- Create compelling data visualizations using industry-standard tools such as Tableau, Power BI, and Matplotlib to effectively communicate findings to stakeholders.
- Collaborate closely with cross-functional teams to determine business requirements and deliver data-driven solutions that align with organizational objectives.
- Formulate bespoke data models and algorithms tailored to unique project requirements.
- Support the automation and optimization of data processing workflows to enhance efficiency and scalability.
- Maintain comprehensive documentation of data processes and models for future reference and knowledge sharing.
Qualifications
- Education: Currently pursuing or have completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a closely related field of study.
- Technical Skills: Demonstrated proficiency in programming languages such as Python and R, along with a solid understanding of SQL and Microsoft Excel.
- Data Handling Skills: Familiarity with data preprocessing techniques and feature engineering methodologies.
- Machine Learning Fundamentals: A foundational understanding of core machine learning concepts and algorithms.
- Data Visualization Skills: Proven ability to effectively present data insights through the use of visualization tools and techniques.
- Analytical Aptitude: Possess strong logical reasoning skills and meticulous attention to detail.
- Interpersonal Skills: Exhibit excellent communication and collaborative abilities, enabling effective teamwork and stakeholder engagement.
Skills
ATS Keywords
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Frequently Asked Questions
A Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field is required. Proficiency in Python and R, a solid understanding of SQL and Microsoft Excel, and familiarity with data preprocessing techniques are also necessary.
No, this is a full-time position located in Bangalore, Karnataka.
This is an entry-level position suitable for freshers with 0-1 year of experience.
You will be designing and implementing predictive models and machine learning algorithms to address specific business challenges, conducting data analysis, and creating data visualizations.
You will be using tools such as Tableau, Power BI, and Matplotlib for data visualization. Programming languages such as Python, R and SQL will be essential as well.
Other Information
Job Category: Data Science
Tags
How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.
