Swiggy Work from Home Jobs; Data Scientist I – Freshers / Experience

Swiggy invites job applications for the post of Data Scientist I for Remote (Work from Home) locations. Candidates with Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field & <1 years of hands-on experience in industry or research lab settings are eligible to apply. Candidates are advised to apply soon before the link expires

Name of the Organization: Swiggy

Notification ID:

Positions: Data Scientist I

Location: Remote (Work from Home)

Salary: As per company Norms

Qualifications:

• Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.
• <1 years of hands-on experience in industry or research lab settings.
• Strong expertise in machine learning algorithms and statistical methods.
• Strong analytical and problem-solving skills.
• Proficiency in Python.
• Ability to learn quickly and adapt to new technologies and tools.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Previous experience in deep learning and internships in startup or product-based consumer/internet companies is preferred.

Job Description:

We seek enthusiastic individuals to join our Data Science team, focusing on multiple key areas like Fraud Detection, Location Intelligence and Catalog enrichments. This entry-level position offers an exciting opportunity for fresh graduates or those with less than one year of experience to kickstart their career in data science

As a Data Scientist - 1, you will play a crucial role in enhancing our systems through the application of advanced mathematics, machine learning, statistics, and operations research techniques.

Key Responsibilities:

• Responsible for solving non-trivial, high-impact problems impacting consumer experience using machine/deep learning, data mining, statistical analysis, and related techniques
• Showcase excellent problem-solving skills, and ability to deconstruct and formulate solutions from first-principles
• Assist in collecting, cleaning, and preprocessing data for analysis and conduct exploratory data analysis to uncover insights and trends.
• Develop and deploy machine learning models on large-scale datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science solutions.
• Stay updated on the latest trends and advancements in data science and machine learning techniques.

Online Application Link – Click Here

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